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Spectrum was a program that aired on KALX from 2011 to 2014. Spectrum explored scientific research and technology development through interviews with leading practitioners at UC Berkeley and throughout the San Francisco Bay Area. Transcriptions of these programs are coming soon. If you are interested in a transcription of a particular episode, please contact us at mail at kalx dot berkeley dot edu.

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Bruce Ames Sr Scientist at CHORI, and Prof Emeritus of Biochem and Molecular Bio, at UC Berkeley. Rhonda Patrick Ph.D. biomedical science, postdoc at CHORI in Dr. Ames lab. The effects of micronutrients on metabolism, inflammation, DNA damage, and aging.TranscriptSpeaker 1:        Spectrum's next. Speaker 2:        Okay. [inaudible] [inaudible]. Speaker 1:        Welcome to spectrum the science and technology show [00:00:30] on k a l x Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news. Speaker 3:        Hi there. My name is Renee Rao and I'll be hosting today's show this week on spectrum. We present part two of our two interviews with Bruce Ames and Rhonda Patrick. Dr Ames is a senior scientist at Children's Hospital, Oakland Research Institute, director of their [00:01:00] nutrition and metabolism center and a professor emeritus of biochemistry and molecular biology at the University of California Berkeley. Rhonda Patrick has a phd in biomedical science. Dr. Patrick is currently a postdoctoral fellow at Children's Hospital, Oakland Research Institute and Dr Ames lab. She currently conducts clinical trials looking at the effects of nutrients on metabolism, inflammation, DNA damage and aging. In February of 2014 she published [00:01:30] a paper in the Federation of American Societies for Experimental Biology Journal on how vitamin D regulates serotonin synthesis and how this relates to autism. In part one Bruce and Rondo described his triage theory for micronutrients in humans and their importance in health and aging. In part two they discussed public health risk factors, research funding models, and the future work they wish to do. Here is part two of Brad Swift's interview with Dr Ames [00:02:00] and Patrick. Speaker 4:        Is there a discussion going on in public health community about this sort of important that Rhonda, that one, Speaker 5:        I think that people are becoming more aware of the importance of micronutrient deficiencies in the u s population. We've got now these national health and examination surveys that people are doing, examining the levels of these essential vitamins and minerals. 70% of the populations not getting enough vitamin D, 45% [00:02:30] population is not getting enough magnesium, 60% not getting enough vitamin K, 25% is not getting enough vitamin CS, 60% not getting enough vitamin E and on and on, 90% not getting enough calcium testing. It's very difficult to get. So I think that with these surveys that are really coming out with these striking numbers on these micronutrient deficiencies in the population, I'm in the really widespread and with triage, the numbers that tell you may be wrong because the thinking short term instead of long term, really what you want to know Speaker 6:        [00:03:00] is what level [inaudible] indeed to keep a maximum lifespan. And our paper discussed all at and uh, but I must say the nutrition community hasn't embraced it yet, but they will because we're showing it's true and we may need even more of certain things. But again, you don't want to overdo it. Okay. Speaker 4:        So talk a little bit about risk factors in general. In health, a lot of people, as you were saying, are very obsessed with chemicals or so maybe their risk assessment is [00:03:30] misdirected. What do you think are the big health issues, the big health risks? Speaker 6:        I think obesity is like smoking. Smoking is eight or 10 years off your life. Each cigarette takes 10 minutes off your life. I mean, it's a disaster and smoking levels are going down and down because people understand. Finally, there's still a lot of people smoke, but obesity is just as bad years of expensive diabetes and the costs can be used. [00:04:00] Whatever you look at out timers of brain dysfunction of all sites is higher in the obese and there's been several studies of the Diet of the obese and it's horrible. I mean it's sugar, it's comfort food and they're not eating fruits and vegetables and the not eating berries and nuts and not eating fish. And so it's doing the main and the country is painful. Speaker 5:        I think that the biggest risk in becoming unhealthy and increasing your [00:04:30] risk of age related diseases, inflammatory diseases comes down to micronutrient intake and people are not getting enough of that. And we know that we quantified it, we know they're not getting enough. And so I think that people like to focus on a lot of what not eat, don't eat sugar and that's right. You shouldn't eat a lot of sugar. I mean there's a lot of bad effects on, you know, constantly having insulin signaling activated. You can become insulin resistant in type two diabetic and these things are important. But I think you also need to realize you need to focus on what you're not getting as opposed to only focusing on what you should not [00:05:00] be getting. Yeah, Speaker 6:        a colleague, lowest scold, and I wrote over a hundred papers trying to put risk in perspective. That part to been in pesticide is really uninteresting. Organic food and regular food doesn't matter. It's makes you feel good, but you're really not either improving the environment or helping your health. Now that you're not allowed to say that, things like that in Berkeley. But anyway, it's your diet. You should be worried about getting a good balanced time. So if you put out a thousand [00:05:30] hypothetical risks, you're lost space. Nobody knows what's important anymore and that's where we're getting. Don't smoke and eat a good diet. You're way ahead of the game and exercise and exercise. Right.Speaker 4:        And in talking about the current situation with funding, when you think back Bruce, in the early days of your career and the opportunities that were there for getting funding vastly Speaker 6:        different. [00:06:00] Well, there was much less money in the system, but I always was able to get funded my whole career and I've always done reasonably well. But now it's a little discouraging when I think I have big ideas that are gonna really cut health care costs and we have big ideas on obesity and I just can't get any of this funded [inaudible] but now if you're an all original, it's hopeless putting it at grant, [00:06:30] I just have given up on it. Speaker 5:        Well the ANA, the NIH doesn't like to fund. Speaker 6:        Yeah. If you're thinking differently than everybody else you do and they're only funding eight or 9% of grants, you just can't get funded. I didn't want to work on a 1% so I'm funding it out of my own pocket with, I made some money from a biotech company of one my students and that's what's supporting my lamb and few rich people who saw potential gave me some money. But it's really tough [00:07:00] now getting enough money to do this. That's an interesting model. Self funding. Well, Rhonda is trying to do that with a, she has a blog and people supporting her in, Speaker 5:        I'm trying to do some crowdfunding where instead of going to the government and then all these national institute of cancer, aging, whatever, which essentially uses taxpayer dollar anyways to fund research. I'm just going to the people, that's what I'm trying to do. My ultimate goal is to go to the people, tell them about this research I'm doing and [00:07:30] my ideas how we're going to do it and have them fund it. People are willing to give money to make advances in science. They just need to know about it. What did you tell him what your app is? So, so I have an app called found my fitness, which is the name of my platform where I basically break down science and nutrition and fitness to people and I explained to them mechanisms. I explained to them context, you know, because it's really hard to keep up with all these press releases and you're bombarded with and some of them are accurate and some aren't and most of the time you just have no idea what is going on. Speaker 5:        It's very [00:08:00] difficult to sort of navigate through all that mess. So I have developed a platform called found my fitness where I'm trying to basically educate people by explaining and breaking down the science behind a lot of these different types of website. And it's an app, it's a website that's also an app can download on your iPhone called found my fitness. And I have short videos, youtube videos that I do where I talk about particular science topics or health nutrition topics. I also have a podcast where I talk about them. I'm interviewing other scientists in the field and things like that. And also I've got a news community site [00:08:30] where people can interact posts, new news, science stories or nutrition stories, whatever it is and people comment. So we're kind of building in community where people can interact and ask questions and Speaker 6:        Rhonda makes a video every once in a while and puts it up on her website and she has people supporting at least some of this and she hopes to finally get enough money coming in. We'll support her research. Speaker 5:        No, I think we're heading that way. I think that scientists are going to have to findSpeaker 6:        new creative ways to fund their research. Uh, particularly if they have creative ideas [00:09:00] is, Bruce mentioned it because it's so competitive to get that less than 10% funding. The NIH doesn't really fun, really creative and risky, but it's, you need somebody who gets it. If when you put out a new idea, right, and if it's against conventional wisdom, which I'd like to do with the occasion arises, then it's almost impossible anyway. Speaker 4:        Even with your reputation. Speaker 6:        Yeah, it's hard. I've just given [00:09:30] up writing grants now. It's a huge amount of work and when they keep on getting turned down, even though I think these are wonderful ideas, luckily I can keep a basal level suppor
Dr. Ames is a Senior Scientist at Children’s Hospital Oakland Research Institute, director of their Nutrition & Metabolism Center, and a Professor Emeritus of Biochemistry and Molecular Biology, at the University of California, Berkeley. Rhonda Patrick has a Ph.D. in biomedical science. Dr. Patrick is currently a postdoctoral fellow at Children’s Hospital Oakland Research Institute with Dr. Ames. Bruce Ames Sr Scientist at CHORI, and Prof Emeritus of Biochem and Molecular Bio, at UC Berkeley. Rhonda Patrick Ph.D. biomedical science, postdoc at CHORI in Dr. Ames lab. The effects of micronutrients on metabolism, inflammation, DNA damage, and aging.TranscriptSpeaker 1:        Spectrum's next. Speaker 2:        Mm mm mm Speaker 3:        [inaudible].Speaker 1:        Welcome to spectrum the science and technology show on k a l x [00:00:30] Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news [inaudible]. Speaker 4:        Good afternoon. My name is Rick Karnofsky. I'm the host of today's show. This week on spectrum we present part one of a two part interview with our guests, Bruce Ames and Rhonda Patrick. Dr Ames is a senior scientist at Children's Hospital, [00:01:00] Oakland Research Institute, director of their nutrition and metabolism center and a professor Ameritas of biochemistry and molecular biology at UC Berkeley. Rhonda Patrick has a phd in biomedical science. Dr. Patrick is currently a postdoctoral fellow at Children's Hospital, Oakland Research Institute in Dr Ames. His lab, she currently conducts clinical trials looking at the effects of [00:01:30] micronutrients on metabolism, inflammation, DNA damage and aging. Here's Brad swift and interviewing doctors, aims and Patrick Bruce Speaker 5:        Ames and Rhonda Patrick, welcome to spectrum. Thank you very much. Sue, can you help us understand the term micronutrient and briefly explain what they do? Sure. Speaker 6:        About 40 substances you need in your diet and [00:02:00] you get it from eating a really well balanced style, get them more about eight or 10 of them are essential amino acids. So they're required for making your all your protein. And then there are about 30 vitamins and minerals, roughly 15 minerals in 15 five minutes. So you need the minerals, you need iron and zinc and calcium and magnesium and all these things, you know, and the vitamins [00:02:30] and minerals are coenzymes. So you have 20,000 genes in your body that make proteins, which are enzymes that do bio or Kimiko transformations. And some of them require coenzymes, maybe a quarter of them. So some require magnesium and they don't work unless there's a magnesium attached to the particular pace in the enzyme. And some of them require vitamin B six which is something called [00:03:00] paradoxal, goes through a coenzyme paradox of phosphate. Speaker 6:        And that's an a few hundred and enzymes and they make your neurotransmitters and other things. And if you don't get any one of these 40 substances, you'd die. But how much we need is, I think there's a lot of guesswork in there and we have a new idea I can talk about later that shakes a lot up puppet. And so when your research, you're trying to measure these [00:03:30] micronutrients obviously, well people can measure them in various ways. Somebody can just measure in blood and say, ah, you have enough vitamin D or you don't have enough vitamin D. But some, for example, calcium and magnesium marine, your bones, but they're also used for all kinds of enzymes and if you get low, the tissue might get low, but you keep your plasma up because you're taking it out of the bone. So just measuring [00:04:00] plasma isn't useful in that case. Speaker 6:        But anyway, there, uh, each one is a little different. Do you want to talk about the triage theory? Okay, I could talk to about that. Now. Some years ago we kept on finding when we had human cells in culture or mice, that when we left out various vitamins and minerals or didn't have enough, we got DNA damage. I'm an expert in DNA damage and we're interested in how [00:04:30] to prevent DNA damage. We sat leads to cancer and so I kept on wondering why is nature doing this when you're not getting enough of magnesium or iron or zinc, you getting DNA damage and then one day it hit me. I, that's just what nature wants to do. Through all of evolution, we'd been running out of vitamins and minerals. The minerals aren't spread evenly through the soil. The red soils with a lot of iron and the souls that have very little iron. Speaker 6:        [00:05:00] Selenium is a required mineral, but there's soils with too much saline and we get poisoned. And then the areas where it, you don't have enough selenium so you get poisoned. So it's a little tricky. Back in 2006 I had this idea that nature must do a rationing when you start getting low on any vitamin or mineral, and how would you ration it? The proteins that are essential for survival get it first and the ones that are preventing [00:05:30] some insidious damage that shows up as cancer in 10 years or calcification in the arteries. That's the [inaudible] papers, those proteins lucid. And I call this triage ship. It's a French word for dividing up those wounded soldiers that the doctors can make a difference on. So anyway, I publish this with what data? That wasn't the literature, but it wasn't completely satisfactory. We didn't, hadn't really nailed it, but it was an idea. Speaker 6:        And then Joyce McCain [00:06:00] in my lab wrote two beautiful reviews, one on selenium and one on vitaminK , and they both fit beautifully. And people who work in these fields had shown that the clotting factors get it first because you don't get your blood clotting and you cut yourself every week or two, you'd just bleed to death. But the price you pay is you don't make the protein that prevents calcification of the arteries so [00:06:30] people can die of calcification the arteries. But that takes 10 years. So when nature has to face keeping alive now so you can reproduce or you're getting calcification arteries in 10 years, it does this tradeoff. And also you don't have enough vitamin K. My ptosis doesn't work quite as accurately. So you'll lose the chromosome here or there and you get cancer in 10 years. But again, it's the trade off between short term survival and longterm health. Speaker 6:        It all [00:07:00] makes perfect sense. It was a very plausible theory. That's why I came out with it. But it's true for vitaminK  and the mechanism used in vitaminK  is different than the mechanism and sleeping. So each system has developed a different mechanism for doing this racially. And so that changes our view of vitamins and minerals base. You're paying a price every time. You're a little low on one with them. So it's the disease of aging. So basically when you should have any vitamin or mineral, [00:07:30] it accelerates your aging in some way. You can accelerate some kind of insidious damage. And we're talking about huge numbers of people. 70% of the population is low in vitamin D and we're talking about magnesium, what we said the third 45% 45% these are big numbers and they're cheap boldly saying Speaker 7:        [inaudible]Speaker 8:        [00:08:00] you are listening to spectrum on a l x, Berkeley. Today's guests are Dr. Bruce Ames and Dr Rhonda Patrick Speaker 9:        with the micronutrients and the activity of DNA, RNA. Talk about the effect there, the impact, is there more to talk about that? Absolutely. So there are many different micronutrients [00:08:30] that are required for functions in your body that involve DNA replication involved DNA repair, preventing DNA damage. Things are all very important because we're making 100 billion new cells every day to make a new cell, we have to replicate the entire genome of that cell to make the daughter cell. And that requires a whole holster of enzymes. So if you don't have enough magnesium for those DNA polymerase to work properly, when ends up happening is that their fidelity is [00:09:00] lessen, meaning they don't work as well and they're gonna likely make more errors in that DNA replication that they're performing. And if they can't repair that error, then when ends up happening is that you can get every rotation and depending on whether that mutation has any functional consequences, sort of random, but the more times as occurs, then the more chances you're having of getting a mutation that can, you know, something that's not good and can either cause cell death or it can also [00:09:30] be something that causes dysregulation of the way your genes are expressed. Speaker 9:        So it's very important to make sure you have the right co factors such as magnesium for DNA replication, also in your mitochondria and your mitochondrial DNA. When you make new Mitochondria, this is called mitochondrial biogenesis. It's an important mechanism to boost the number of mitochondria per cell. And this can occur during things like exercise when your mitochondria also have their own genome and they have to replicate this genome. Well guess what? Those mitochondrial [00:10:00] DNA were preliminaries. This also require magnesium. And so if there's not enough magnesium around, you're not making your mitochondria as optimal as you could be in Mitochondria. Play an important role in every single process in your body, including, you know, neuronal function. So that's really important to make sure that your Mitochondria Hobby. Also, this is very relevant for things like aging. These micronutrients like vitamin D gets converted into a steroid hormone that regulates the expression of over a thousand genes in [00:10:30] your body and some of those genes are involved in DNA repair and also in preventing DNA damage. So these micronutrients are extremely important for a variety of different physiological
Mathias Craig, Co-Founder and Exec. Dir. of Blue Energy. Blue Energy is a not for profit, NGO working in Caribbean coastal communities of Eastern Nicaragua to help connect them to energy, clean water, sanitation and other services. Blueenergygroup.orgTranscriptSpeaker 1:        Spectrum's next. Speaker 2:        Okay. [inaudible] [inaudible]. Speaker 3:        Welcome to spectrum the science and technology show on k l x Berkeley, a biweekly [00:00:30] 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of loads Speaker 1:        [inaudible] and news. Speaker 4:        Hi listeners, my name is Brad Swift. I'm the host of today's show this week on spectrum. We present part two of two with our guests, Mathias Craig Co, founder and executive director of Blue Energy. Blue Energy is a nonprofit nongovernmental organization working among the Caribbean coastal communities of [00:01:00] eastern Nicaragua to help connect them to energy, clean water, sanitation, and other essential services. Monte has, Craig is an engineer by training from UC Berkeley and MIT. He talks about what he and blue energy have learned about adapting and localizing technology through projects they undertake with remote isolated communities. Monte has also talks about the future of applied technologies and blue energy in developing areas. Here is part two. [00:01:30] As you work with the technologies that you choose from, how much are you changing those technologies? Are you able to feed back to the people who are actually manufacturing and designing those things? Speaker 1:        When we started the organization, we thought of ourselves as sort of a technology creator. When we started working with small scale wind power locally manufactured small scale wind turbines, you know, we were early pioneers in that working with the earliest pioneers like Hugh Pigott, as I had mentioned in another group up in [00:02:00] Colorado, went by the name other power. We really saw ourselves as the primary design. We spent a lot of time. We did design workshops, we did a lot of cad drawings and we were really deep into the technology when we thought that technology was going to be 80% of what we could contribute. What we learned a number of years later was that that's not where we can add the most value. There's a lot of people around the world that can work on technology that had better setups and more experience, more resources to throw at the problem, and we needed to leverage [00:02:30] that. Speaker 1:        That was one key realization. Now, on the other end of the spectrum though, we know that just taking technology from around the world and plugging it in never works. It's a lot of romance about that, but the reality is there's tweaking. There's adaptation that has to take place generally not with a cell phone, not with a pencil against her self-contained units, but with systems. These are systems, not products generally and for that you need adaptation and so we started thinking ourselves as technology [00:03:00] tweakers or packers, hackers or we use the word localize a lot to mean not inventing, but how do you take something that is successful somewhere else in a completely different context or if you get lucky, you find something that's operating in a relatively similar context and you say, okay, what needs to change for that to be effective where we are? Speaker 1:        We have a ton of examples of this and we found we're very good at this and it's a place where we can add a tremendous amount of value. One example is you have [00:03:30] the mayor's office in Bluefields, which is where we're, we're operationally headquartered there on the Caribbean coast has a lot of requests for latrines to be installed for the communities. It's very poor sanitation in the area. They want to comply with that request. Right now there's thousands of latrine designs out there. How does a severely under-resourced government office figure out which one is going to be appropriate for the local context? The answer is they can't and it's just paralysis there and that's an example of where [00:04:00] we've built very strong partnerships and where we can add a ton of value. We can do that study, we can look at the designs, we can go visit a design in Honduras and check it out and say, oh, this design Central America.Speaker 1:        Certain cultural similarities. Certain cultural differences can be very different environment, so let's try it out, but it seems promising. Let's test it for a year and let's study. Let's study the the decomposition of the waste. Is it working? Is it not working? And we did a pilot a few years ago looking at a solar latrine where [00:04:30] you you use passive solar heating, sort of greenhouse effect to help decompose the waste faster. We thought it was very promising. It didn't work in Bluefields because very high humidity, the rainiest part of the country and it didn't work like in the highlands of Honduras, but we saved a ton of money by studying that for a year rather than going out and building a thousand units because there was demand for latrines, so we did a lot of work on that. We've done that now with the water filters, with the well [00:05:00] drilling techniques and technology done that with cookstoves biodigesters everywhere in the technology portfolio. Speaker 1:        I'd say we've had a hand in localizing the technology, adapting it and seeing what's going to work and then helping to roll it out slowly. At the end of last year we built our first latrines and built 55 latrines. We'd been studying and working on the trains for over two years. And one of the key elements of being able to do that technology localization are [00:05:30] the students and the international fellows that come work with us on the ground for either short term programs in the summer summer fellows that come in or longer term fellows that come for three months, six months or a year and work with us on adapting the technology. So behind that latrine program of two years, they was, you know, over half dozen students that did research that contributed to their schoolwork on campus and pushed the design forward. [00:06:00] So that's part of our global leadership program. They get the benefit of learning what real technology design is like in the field and learn about that social element that they don't hear about in class generally. Speaker 1:        And what we get is we get to move along sort of the r and d side of things. And do you have a good relationship with local governments? Is that one of the things you try to cultivate? Yes, and I think that's something that sets us apart from a lot of nonprofit organizations in development, [00:06:30] generally speaking, but also in Nicaragua's, we've chosen to engage the government directly. The government in some form is what is going to be there and is representative of the people's will in some form. There's always challenges and just like we have in this country about how representative is it, et Cetera, but at the end of the day, it's the ultimate authority in the region and so if you choose to go around it and not engage it as many organizations do, we feel that you severely [00:07:00] limit the potential for your longterm impact. So we engage directly.Speaker 1:        It's not always easy and we engage at different levels. We engage the national government. We have an office in Managua and the capital city where we're in constant contact with the ministries, with all levels of national governments. We engage there over on the coast. We engage with the regional government. We engage with the indigenous and creole territorial governments. It's a semi-autonomous region. [00:07:30] It's a very complex governance structure in the country, but we engage at all those levels. To discover what their plans are, to help build capacity where we can, you know, we learn and we teach. And then in the best cases to coordinate, you know, we've done a project with the Ministry of Health. We work with the Ministry of Health, the local nurse. We designed an energy system, install it, the Ministry of Health puts in the vaccine freezer and fills it with medicine and we both train the nurse. Well now that is a very [00:08:00] challenging collaboration to manage, but it leads to very big impact if you're willing to do it the right way. Speaker 1:        You know, one of our strongest partners is the municipal office of Bluefields, the municipal government, the mayor and his staff where we're collaborating on a number of initiatives both within the city of Bluefields and the surrounding communities around water and sanitation, around building a biodigester for the slaughter house so that all that animal waste will cease to be dumped into the river untreated [00:08:30] and will actually become a useful byproduct of methane for cooking. And how many may oriel administrations have you dealt with in the Bluefield? There's been sort of three that we've worked with. Nicaragua is a highly polarized country, politically even more so than the United States. You know, we like to think where the extreme example, but not even close. When you look at the world that Greg was highly political and highly polarized. And when I say highly political, meaning that many [00:09:00] government functions and the services that they deliver are dictated by political affiliations. Speaker 1:        So the risk of engaging as we do is that you end up on one side or the other and we're on the side of civil society. We want to help strengthen Nicaragua and strengthen the population of Nicaragua regardless of political affiliations. And so in our internal policies, that's very clear. We work with different political parties and in fact we play a very big facilitator [00:09:30] role convening people who would never meet on their own. If we can get the PLC and the Sandinistas to sit down on a table and t
Mathias Craig, Co-Founder and Exec. Dir. of Blue Energy. Blue Energy is a not for profit, NGO working in Caribbean coastal communities of Eastern Nicaragua to help connect them to energy, clean water, sanitation and other services. Blueenergygroup.orgTranscriptSpeaker 1:        Spectrum's next. Speaker 2:        Okay. Welcome to spectrum the science and technology show on k a l ex Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar [00:00:30] of local events and news. Speaker 3:        Hi and good afternoon. My name is Brad Swift. I'm the host of today's show. This week on spectrum. We present part one of two with our guest Monte as Craig Co founder and executive director of Blue Energy. Blue Energy is a nonprofit nongovernmental organization working among the Caribbean coastal communities of eastern Nicaragua to help connect them to energy, clean water, sanitation, and other essential services. Matiaz Craig is an engineer by training right here at UC Berkeley. [00:01:00] He talks about what he and blue energy have learned about applying and localizing technology through projects that they undertake with remote isolated communities. Give a listen to part one. Monte has. Craig, welcome to spectrum. Thank you for having me. How were you initially drawn to technology? Speaker 1:        It started really early for me. I was a tinkerer. I always thought that I would be an inventor when I was young. So I think the, the attraction came, came super early and [00:01:30] then when I studied here at UC Berkeley in civil and environmental engineering, I started getting exposed to technology. Just sort of took it from there. Speaker 3:        When was it that you started down this path of connecting technology with sustainability and equitable development? Speaker 1:        So I started thinking about that again while I was here at UC Berkeley, I had the opportunity to take a number of classes in the energy and resource group with Professor Richard Norgaard and Dan Cayman, which was really inspirational [00:02:00] for me. And I started to see renewable energy in particular as an opportunity to use technology in a green, sustainable way. And also I liked the international element of it, but this is a global issue around the environment and also around issues of energy and water. And it was easy to see how they could fit together. I think it really started here. And then in graduate school I was at MIT and I had the opportunity to take a class called entrepreneurship in the developing world with Professor Alex Pentland [00:02:30] over in the media lab and that was my first sort of insight into how I might combine those things. Practically speaking in an organization, Speaker 3:        when you first started trying to couple those things, energy generation, sustainability, what was the status quo of things? Speaker 1:        What was the landscape like? What year was it? I started thinking about renewable energy and wind power back in 1999 when I was a student here at Berkeley. It [00:03:00] was a class project in 2002 at MIT and we launched in Nicaragua in 2004 I think the landscape for small wind in particular, which was what drew my interest initially, it was pretty sparse out there. There weren't many organizations doing small scale wind for development. There have been some small scale wind turbine manufacturers in Europe and in the United States for a number of decades on a commercial scale, but they weren't really thinking about emerging markets and how wind [00:03:30] might contribute to rural electrification in those places. And we formed some nice partnerships, one with Hugh Pigott from Scotland who was the original inventor of the wind turbine design that we were using and worked with him for a number of years to add our own contribution to the design and evolve it. Speaker 1:        And were there other groups in the field that you kind of model yourself after? We didn't really have any models for the small scale wind, but there were some organizations that I looked up to and kept track of [00:04:00] in terms of community development, the how to implement technology in community situations in the developing world in particular, one group was called it DG. It was intermediate technology development group. It's now called practical action. They've been around since the 60s promoting how do you do responsible development in communities, deploying technology, but thinking about all the other dimensions around that work. And then another group I have a lot of respect for is out of Portland, Oregon, green empowerment. They've worked a lot with practical action as well. [00:04:30] It's a holistic view on how to use technology to create impact, but with a recognition of all the other components that have to go into that work. Speaker 1:        And what was the learning curve like for you and your organization in the early years? Very steep. When we launched the organization, we had a lot of passion, a lot of commitment, a lot of ideas, but we did not have formal business training. Our level of experience in the field, we had some historical experience in Nicaragua, but trying [00:05:00] to launch your organization at work there is quite different than visiting. So I'd say the learning curve was extremely steep. That's been one of the most rewarding parts of this job for the last 10 years is every day I feel like I'm learning something new. And I think in the beginning of the organization we didn't have a very solid structure or a very big organization in terms of number of people. And we've had a lot of turnover over the years. And that's where I think the learning curve remains fairly steep for the institution because you have to [00:05:30] figure out how do you bridge those changes within the organization and how do you document your learning so that you don't have to constantly re learn the same lessons and you get to move on to the next lesson. Speaker 1:        When we launched the organization, we had no money, no experience, no major backers, no big team, and we really built it from scratch. And I think there's a lot of learning along the way there. What were the biggest challenges in the early days? Well, the challenges have evolved a lot over the 10 years. [00:06:00] In the early days, I would say the biggest challenge was cash. You know, cash flow for an organization is always a critical issue. And I think in the early days when we had actually no financing, that was a huge issue because we weren't able to pay salaries. It was a struggle to scrape together a little bit of money to buy materials. You know that's okay early on. In fact it can be quite healthy for an organization to start that way because it forces you to be very efficient and to think three times about doing anything before you do it. Speaker 1:        [00:06:30] Finding the talent that you need to tackle something as complex as infrastructure in the kind of region that we're in is very challenging and so you can sometimes attract the talent, but then how do you retain it? And it's not only a money issue, it's not only being able to pay people a fair wage, but it's a very dynamic context, a very dynamic environment. And people come and go. You know, if you invest a lot in training, which is a core part of our philosophy, build local capacity, but then that person moves on, [00:07:00] moves to the u s or you train them well enough that they can be employed in the capitol city and has a bit of a brain drain there. So you can't think of, okay, we're just going to invest a lot in this handful of employees. You fifth think, how are we systematically going to continuously train people that we onboard, retain them as long as we can and maybe help them move on to new bright careers. But I think that turnover issues is a big one. Speaker 2:        You were listening to spectrum [00:07:30] on KALX Berkeley Co founder and executive director of Blue Energy. All Monte has, Craig is our guests. What's your current Speaker 1:        assess for going into a new community? How do you do that? I would say we do it very slowly and thoughtfully. Our approaches. We want to pick communities where we think there's a tremendous amount of need, but where there's also we say in Spanish that the contract parties, the, the commitment [00:08:00] from the people we're going to work with, that the solutions that we're providing and building with them are things that they actually want to commit to and invest in. Early on in the organization, it was a bit throwing darts at a board and to where you're going to start, but in the last five, six years it's become much more systematic and we spend a lot of time visiting with communities. Generally how it starts is one of the leaders from the community comes and finds us. Now we have enough of a presence, enough of a reputation [00:08:30] on the coast that we're a known entity and somebody, you know, the leader of a community comes, says, oh, I saw this water project in this other community. Speaker 1:        We would like that as well and we don't just jump at that. We say, okay, duly noted. Thank you for coming. And then when we're out doing, say maintenance or a service visit in another community, we will stop by that community and have a look and start having the meetings. And it's a long process of getting understand the community at first, sort of informally. And then if we think there's an opportunity actually [00:09:00] going into a project development phase where we're starting to look at what the specific needs are, what are the solutions that we could provide, how might they match? And then doing things like understanding the power dynamics in the community. Okay, this one person came and solicited the service and they said they were the leader, but what does that mean? Are they an elected leader? Who Do they represent? Or the head of the fish
Diana Pickworth

Diana Pickworth

2014-05-0230:00

Archaeologist Dr Diana Pickworth. She is presently a Visiting Scholar in the UC Berkeley Near Eastern Studies Department. Formerly Assoc Prof of Mesopotamian Art and Archaeology and Museum Studies at the University of ‘Aden in the Republic of Yemen.TranscriptSpeaker 1:        Spectrum's next. Speaker 2:        Okay. [inaudible]. Speaker 1:        Welcome to spectrum the science and technology show on k [00:00:30] a l x Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news. Speaker 3:        Hey, good afternoon. My name is Brad Swift. I'm the host of today's show this week on spectrum. Our guest is archaeologist Dr Diana. Pick worth. She is presently a visiting scholar in the UC Berkeley Near Eastern studies department. Dr Pick worth is completing the work related to the publication of two volumes [00:01:00] on excavations carried out by a university of California team at the site of Nineveh in northern Iraq. Formerly she was an associate professor of Mesopotamian art and archeology and museum studies at the University of a sudden in the Republic of Yemen. Diana pick worth is an elected fellow of the explorers club and a member of the American School of Oriental Research. Here is that interview. Hi, this is Brad Swift. In today's spectrum interview, Rick Karnofsky [00:01:30] joins me, Rick [inaudible] and today's guest is Diana. Pick worth Diana, welcome to spectrum. Speaker 1:        I'm honored and delighted to be here. Speaker 3:        Diana would you begin by talking about archeology and how it got started and how it's blossomed into its multifaceted current state. Speaker 1:        There's no doubt that the enlightenment in the 19th century sparked a huge interest [00:02:00] in the eastern part of the Ottoman Empire. And so during this period, the European countries, England, France, Germany, Austria, and Italy, we're sending consoles and ambassadors to visit the Parshah and Istanbul. What happened was these countries became competitive in their desire, both the land and knowledge. And this was fueled somewhat by [00:02:30] Darwin's research and in 1830 his work on the Beagle and subsequently his publication of origin of species spoked enormous questions about the Bible. And it was this desire to understand the truth about the Bible. It had been viewed up until that point is a given that it was correct [00:03:00] and it challenged the world view at the time. And avast and I think changing Manoj and so layered from England, Botha from foams moved east of Istanbul into northern Iraq. And what we see is these two men really pitching at each other to stake a claim for that country to excavate in there tells that they [00:03:30] both discovered in the appetite risk space on and is that how the Fertile Crescent got started? Speaker 1:        That whole idea of Fertile Crescent, that was a little later, but the Fertile Crescent represents an area where settlement could first begin and so the ice Asya hat is really a points on a map. It's a way of looking at how [00:04:00] geography, rainfall, and natural geographic circumstances create a circumstance where humankind can prosper and it can farm in what is called dry farming. And so what we find, it's an all running up from about the middle of their Dead Sea on the Palestinian literal all the way up in a circle across the top of what [00:04:30] is today, northern Syria and northern Iraq. Those sites date from as early as 9,000 BC and there's no doubt that's where we are. We all finding humankind's first farming and settlement currently. Then what's notable about the transition from the 19th or the 20th century in terms of archeology? I think on the one hand a tremendous continuity so [00:05:00] that those sites that would claimed in the 19th century tend to still be excavated by the same country. Speaker 1:        There's an unspoken but still I think quite rigorous concept that a site is handed on. The perspective has become much more global so that we have people excavating in the Middle East, from South Africa, [00:05:30] from South America, from the United States, and these teams in most we would call the new world are essentially funded or sponsored by their universities. That still remains in the European countries. A tradition of sponsorship by the government and this makes a huge difference. They are able to continue with a very shore knowledge of funding [00:06:00] year after year. You talked a little bit about the Fertile Crescent. What are other examples of old settlements? What's the oldest settlement? I think in photo Cresson, certainly one of the most remarkable sites is Choteau here. And this was excavated by the University of California by Ruth Traynham and has some of the earliest illustrative material and [00:06:30] war paintings in that area. And representative, uh, no doubt of the earliest farming settlements. And it's a dense occupation. Surprisingly, there are dense a little later we see sites that we defined by this ceramic heritage, so at this point we have new written documentation but how suna and hello laugh of these very early pottery sites that are named [00:07:00] essentially from the first site, but we find a spread of occupation across the area. Further east, I'm a hindered Daro 2,900 BC is in what is modern day Pakistan and without doubt one of the earliest settlements Speaker 4:        [inaudible]Speaker 5:        you were listening to spectrum on k a l experts like archaeologist, [00:07:30] Diana [inaudible] is our guest. Speaker 1:        How closely does archaeological training in universities track with the real world application of archeology? I think in many cases very well. One of the requirements of an archeologist above all others I think is flexibility and sturdy resilience, but there are three aspects we're trained theoretically [00:08:00] and this I think is where to refer back to your earlier question. There is a change from 19th century archeology today. We're trained to pose a theoretical question to come up with a hypothesis that we will try to test on the ground. I think an area background knowledge is essential training varies in this regard. For example, [00:08:30] in Germany, archeologists are expected to work all over the world whereas we tend to direct our training two area studies say that my area Mesopotamia and Arabian studies really requires a basis of language study under knowledge of the history of the area and so one becomes a specialist in a particular area. Speaker 1:        The practical training [00:09:00] is fairly consistent. I think we begin in in the states, the students are sent in the summers to excavations and throughout their graduate career it's hope they'll have an opportunity to really work in different types of sites and all of us begin or hope to with a semester in a field archeology school so that ones practicing perhaps in a situation where one can't cause too much [00:09:30] damage within the United States field of study, how much might one drift from their graduate area into another area of the world as they start their career? That's an interesting question. In my experience, people do really tend to stay within their area of specialization. We're talking about as much as maybe six to eight years of a language study. The geography and the history of an area [00:10:00] becomes embedded in one's training and in one's doctoral dissertation, so I personally don't think there is such a broad shift. Speaker 1:        I think theoretically once capable, there's absolutely no doubt and we find also that students who find themselves not to have strong language studies tend to move into pre history. If you're working in pre history, then really one can go anywhere. It doesn't matter. [00:10:30] There are loopholes in the system, some of the technical methods that are being applied to dating things. Does that mess up the history of it all, the timing, the dating, a lot of the earlier work, does it get overturned in terms of how old is this settlement? I think DNA has made an enormous, perhaps the most significant difference and whole groups of people have been shown to not be native to where [00:11:00] they have claimed in their own written literature that they've always left that spin. I think a delightful surprise, very interesting surprise. Certainly high and duel found that everyone going to the Polynesian islands was going in 150 degrees opposite direction from what he had anticipated. Speaker 1:        So we do find that as time passes, the studies can be refined, but I would say it's rather a question [00:11:30] of refinement than are there just totally wrong assumptions. Can I call it it all about what proportion of work is done on newly found settlements, settlements that might've been found in the past couple years versus settlements that we've known about for some time? I think the introduction of Google and satellite imagery has made a vast difference to what we can do most recently in [00:12:00] a northeast Iraq in what is now the Kurdish settlement. Recent work by Harvard has discovered an enormous number of settlements and all of the previous research before they went into the field was done using satellite imagery and so that was unavailable until quite recently. It saves money. There's no doubt with satellite imagery. We can sit in an office in Berkeley and look at the satellite [00:12:30] sites surrounding a large site. We can see a pattern perhaps of movement along a track through mountain ranges from settlement, so that's enormously expanded. What we can do in the office before we go into the field. [inaudible] Speaker 6:        spectrum is a public affairs show on KALX Berkeley. Our guest is archeologist in Diana. [00:13:00] She is a visiting scholar of the Near Eastern studies department. Speaker 1:        Can you start to talk about some of your own work in Iraq? I
Cathryn Carson is an Assoc Prof of History, and the Ops Lead of the Social Sciences D- Lab at UC Berkeley. Fernando Perez is a research scientist at the Henry H. Wheeler Jr. Brain Imaging Center at U.C. Berkeley. Berkeley Institute for Data Science.TranscriptSpeaker 1:        Spectrum's next. Speaker 2:        Mm MM. Speaker 3:        Uh Huh [inaudible]. Speaker 4:        [00:00:30] We'll come to spectrum the science and technology show on Katie l x Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events. Speaker 3:        [inaudible].Speaker 1:        Hello and good afternoon. My name is Renee Rao and I'll be hosting today's show this week [00:01:00] on spectrum present part two of our two part series on big data at cal. The Berkeley Institute for data science bids is only four months old. Two people involved with shaping the institute are Catherine Carson and Fernando Perez. They are today's guest Catherine Carson is an associate professor of history and associate dean of social sciences and the operational lead of the social sciences data lab at UC Berkeley for Nana Perez is a research scientist at the Henry H. Wheeler [00:01:30] Jr Brain imaging center at UC Berkeley. He created the iPod iPhone project while he was a graduate student in 2001 and continues to lead the project today. In part two they talk about teaching data science. Brad Swift conducts the interview Speaker 5:        on the teaching side of things. Does data science just fold into the domains in the fields and some faculty embrace it, others don't. How does the teaching of data science move [00:02:00] forward at an undergraduate level? Yeah, there there've been some really interesting institutional experiments in the last year or two here at Berkeley. Thinking about last semester, fall of 2013 stat one 57 which was reproducible collaborative data science pitched at statistics majors simply because you have to start with the size that can fit in a classroom [00:02:30] and training students in the practices of scientific collaboration around open source production of software tools or to look at what was Josh Bloom's course, so that's astro four 50 it's listed as special topics in astrophysics just because Josh happens to be a professor in the astronomy department and so you have to list it somewhere. The course is actually called Python for science Speaker 6:        [00:03:00] and it's a course that Josh has run for the last, I think this is, this was its fourth iteration and that course is a completely interdisciplinary course that it's open to students in any field. The examples really do not privilege and the homework sets do not privilege astronomy in any way and we see students. I liked her a fair bit in that course as a guest lecture and we see students from all departments participating. This last semester it was packed to the gills. We actually had problems because we couldn't find a room large enough to accommodate. So word of mouth is working. In terms of students finding these [00:03:30] courses, Speaker 5:        it's happening. I wouldn't say it's working in part because it's very difficult to get visibility across this campus landscape. I am sure there are innovations going on that even the pis and bids aren't aware of and one of the things we want to do is stimulate more innovation in places like the the professional schools. We'll be training students who need to be able to use these tools as well. What do they have in mind or there [00:04:00] are other formats of instruction beyond traditional semester courses. What would intensive training stretched out over a much shorter time look like? What gaps are there in the undergraduate or graduate curriculum that can effectively be filled in that way? The Python bootcamp is another example of this that's been going on for Speaker 6:        for about four years. Josh and I teach a a bootcamp on also python for data science that is immediately before the beginning of the fall semester. Literally the weekend before [00:04:30] and it's kind of, it's a prerequisite for the semester long course, but it's three days of intensive hands-on scientific bite on basically programming and data analysis and computing for three days. We typically try to get a large auditorium and we got 150 to 200 people. A combination of undergrads, Grad Students, postdocs, folks from LVL campus faculty and also a few folks from industry. We always leave, leave a few slots available for people from outside the university to come and that one a has been very popular at [00:05:00] tends to, it's intense to have very good attendance be, it serves as an on ramp for the course because we advertise the in the semester course during the bootcamp and that one has been fairly successful so far and I think it has worked well. Speaker 6:        We see issues with it too. That would be that we would like to address three days is probably not enough. Um, it means because it's a single environment, it means that we have to have examples that are a little bit above that can accommodate everyone, but it means they're not particularly interesting for any one group. It would be, I think it would be great to have [00:05:30] things of this nature that might be a little bit better focused at the life sciences and the social sciences that the physical sciences, so that the examples are more relevant for a given community that may be better targeted at the undergraduate and the graduate level so that you can kind of select a little bit in tune the requirements or the methodological base a little bit better to the audience. But so far we've had to kind of bootstrapping with what we have. Speaker 6:        There's another interesting course on campus offered by the ice school by Raymond Lecture at the high school called working with open data [00:06:00] that is very much aimed at folks who are the constituency of the high school that have an intersection of technical background with a broader interdisciplinary kind of skills that are the hallmark of the high school and they work with openly available data sets that are existing on the Internet to create basically interesting analysis projects out of them and that's of course that that I've seen come up with some very, very successful and compelling projects at the end of the semester Speaker 7:        about the teaching and preparation in universities. In [00:06:30] the course of doing interviews on spectrum, a number of people have said that really the only way to tackle sciences interdisciplinary, the big issues of science is with an interdisciplinary approach, but that that's not being taught in universities as the way to do science. Sarah way to break that down using data science as a vehicle. Speaker 5:        I can speak about that as a science and technology studies scholar. The practice of interdisciplinarity, what makes it actually work is one of the [00:07:00] the most challenging social questions that can be asked of contemporary science and adding into that the fact that scientists get trained inside this existing institution that we've inherited from let's roughly say the Middle Ages with a set of disciplines that have been in their current form since roughly the late 19th century. That is the interface where I expect in the next oh two to five decades major transformations in research universities. [00:07:30] We don't yet know what an institution or research institution will look like that does not take disciplines as it sort of zero order ground level approximation to the way to encapsulate truth. But we do see, and I think bids is like data science in general and an example of this. We do see continual pressure to open up the existing disciplines and figure out how to do connections across them. It's [00:08:00] not been particularly easy for Berkeley to do that in part because of the structure of academic planning at our institution and in part because we have such disciplinary strengths here, but I think the invitation for the future that that word keeps coming back invitation. The invitation for the future for us is to understand what we mean by practicing interdisciplinarity and then figure out how to hack the institution so that it learns how to do it better. [inaudible] Speaker 8:        [inaudible] [00:08:30] you're listening to structure fun. K A, l ex Berkeley Fasten Kirsten and Fernando Perez are our guests. They're part of the Berkeley Institute for Data Science for Bids [inaudible] Oh, Speaker 6:        it seems that data science has an almost unlimited [00:09:00] application. Are there, are you feeling limits? I don't know about limits specifically because I think in principle almost any discipline can have some of its information and whatever the concepts and constructs of that discipline can probably be represented in a way that is amicable to quantitative analysis of some sort. In that regard, probably almost any discipline can have a data science aspect to it. I think it's important not to sort of [00:09:30] over fetishize it so that we don't lose sight of the fact that there's other aspects of intellectual work in all disciplines that are still important. That theory still has a role. That model building still has a role that, uh, knowing what questions to ask, it's still important that hypotheses still matter. I'm not so sure that it's so much an issue of drawing arbitrary limits around it, but rather of being knowledgeable and critical users of the tools and the approaches that are offered. Speaker 6:        Because in terms of domain [00:10:00] applications, I actually recently saw at the strata conference, which is one of these more industry oriented big data conferences that took place a few weeks ago in Silicon Valley. It's in Santa Clara. One of the best talks that I saw at the conference was an analysis half the poem, if I told him that Gertrude Stein wr
Cathryn Carson is an Assoc Prof of History, and the Ops Lead of the Social Sciences D- Lab at UC Berkeley. Fernando Perez is a research scientist at the Henry H. Wheeler Jr. Brain Imaging Center at U.C. Berkeley. Berkeley Institute for Data Science.TranscriptSpeaker 1:        Spectrum's next. Speaker 2:        Okay. [inaudible] [inaudible]. Speaker 1:        Welcome to spectrum the science [00:00:30] and technology show on k a l x Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news. Speaker 3:        Hi, good afternoon. My name is Brad Swift. I'm the host of today's show this week on spectrum we present part one of our two part series on big data at cal. The Berkeley Institute for Data Science or bids is only [00:01:00] four months old. Two people involved with shaping the institute are Catherine Carson and Fernando Perez and they are our guests. Catherine Carson is an associate professor of history and associate dean of social sciences and the operational lead of the social sciences data lab at UC Berkeley. Fernando Perez is a research scientist at the Henry H. Wheeler Jr Brain imaging center at UC Berkeley. He created the ipython project while a graduate student in 2001 [00:01:30] and continues to lead the project here is part one, Catherine Carson and Fernando Perez. Welcome to spectrum. Thanks for having us and I wanted to get from both of you a little bit of a short summary about the work you're doing now that you just sort of your activity that predates your interest in data science. Speaker 4:        Data Science is kind of an Ale defined term I think and it's still an open question precisely what it is, but in a certain sense all of my research has been probably under the umbrella [00:02:00] of what we call today data science since the start. I did my phd in particle physics but it was computational in particle physics and I was doing data analysis in that case of models that were competitionally created. So I've sort of been doing this really since I was a graduate student. What has changed over time is the breadth of disciplines that are interested in these kinds of problems in these kinds of tools and that have these kinds of questions. In physics. This has been kind of a common way of working on writing for a long time. Sort of the deep intersection [00:02:30] between computational tools and large data sets, whether they were created by models or collected experimentally is something that has a long history in physics. Speaker 4:        How long the first computers were created to solve differential equations, to plot the trajectories of ballistic missiles. I was one of the very first tasks that's computers were created for so almost since the dawn of coats and so it's really only recently though that the size of the data sets has really jumped. Yes, the size has grown very, [00:03:00] very large in the last couple of decades, especially in the last decade, but I think it's important to not get too hung up on the issue of size because I think when we talk about data science, I like to define it rather in the context of data that is large for the traditional framework tools and conceptual kind of structure of a given discipline rather than it's raw absolute size because yes, in physics for example, we have some of the largest data sets in existence, things like what the LHC creates [00:03:30] for the Higgs Boson. Those data sets are just absolute, absurdly large, but in a given discipline, five megabytes of data might be a lot depending on what it is that you're trying to ask. And so I think it's more, it's much, much more important to think of data that has grown larger than a given discipline was used in manipulating and that therefore poses interesting challenges for that given domain rather than being completely focused on the raw size of the data. Speaker 1:        I approached this from an angle that's actually complimentary to Fernando in part because [00:04:00] my job as the interim director of the social sciences data laboratory is not to do data science but to provide the infrastructure, the setting for researchers across the social sciences here who are doing that for themselves. And exactly in the social sciences you see a nice exemplification of the challenge of larger sizes of data than were previously used and new kinds of data as well. So the social sciences are starting to pick up say on [00:04:30] sensor data that has been placed in environmental settings in order to monitor human behavior. And social scientists can then use that in order to design tests around it or to develop ways of interpreting it to answer research questions that are not necessarily anticipated by the folks who put the sensors in place or accessing data that comes out of human interactions online, which is created for entirely different purposes [00:05:00] but makes it possible for social scientists to understand things about human social networks. Speaker 1:        So the challenges of building capacity for disciplines to move into new scales of data sets and new kinds of data sets. So one of the ones that I've been seeing as I've been building up d lab and that we've jointly been seeing as we tried to help scope out what the task of the Berkeley Institute for data science is going to be. How about the emergence [00:05:30] of data science? Do you have a sense of the timeline when you started to take note of its feasibility for social sciences? Irrespective of physics, which has a longer history. One of the places that's been driving the conversations in social sciences, actually the funding regime in that the existing beautifully curated data sets that we have from the post World War Two period survey data, principally administrative data on top of that, [00:06:00] those are extremely expensive to produce and to curate and maintain. Speaker 1:        And as the social sciences in the last only five to 10 years have been weighing the portfolio of data sources that are supported by funding agencies. We've been forced to confront the fact that the maintenance of the post World War Two regime of surveying may not be feasible into the future and that we're going to have to be shifting to other kinds of data that are generated [00:06:30] for other purposes and repurposing and reusing it, finding new ways to, to cut it and slice it in order to answer new kinds of questions that weren't also accessible to the old surveys. So one way to approach it is through the infrastructure that's needed to generate the data that we're looking at. Another way is simply to look at the infrastructure on campus. One of the launching impetuses for the social sciences data laboratory was in fact the budget cuts of 2009 [00:07:00] here on campus. When we acknowledged that if we were going to support cutting edge methodologically innovative social science on this campus, that we were going to need to find ways to repurpose existing assets and redirect them towards whatever this new frontier in social science is going to be. Speaker 5:        You were listening to spectrum on k a l x Berkeley, Catherine Carson and Fernando Perez, our guests. [00:07:30] They are part of the Berkeley Institute for data science known as big [inaudible]. Speaker 4:        Fernando, you sort of gave us a generalized definition of data science. Do you want to give it another go just in case you evoke something else? Sure. I want to leave that question slightly on answer because I feel that to some extent, one of the challenges we have as an intellectual effort that we're trying to tackle at the Brooklyn [00:08:00] instead for data science is precisely working on what this field is. Right. I don't want to presuppose that we have a final answer on this question, but at least we, we do know that we have some elements to frame the question and I think it's mostly about an intersection. It's about an intersection of things that were being done already on their own, but that were being done often in isolation. So it's the intersection of methodological work whereby that, I mean things like statistical theory, applied mathematics, computer science, [00:08:30] algorithm development, all of the computational and theoretical mathematical machinery that has been done traditionally, the questions arising from domain disciplines that may have models that may have data sets, that may have sensors that may have a telescope or that may have a gene sequencing array and where are they have their own theoretical models of their organisms or galaxies or whatever it is and where that data can be inscribed and the fact that tools need to be built. Speaker 4:        Does data doesn't get analyzed by blackboards? Those data gets analyzed by software, but this is software that is deeply woven [00:09:00] into the fabric of these other two spaces, right? It's software that has to be written with the knowledge of the questions and the discipline and the domain and also with the knowledge of the methodology, the theory. It's that intersection of this triad of things of concrete representation in computational machinery, abstract ideas and methodologies and domain questions that in many ways creates something new when the work has to be done simultaneously with enough depth and enough rigor on all [00:09:30] of these three directions and precisely that intersection is where now the bottleneck is proving to be because you can have the ideas, you can have the questions, you can have the data, you can have the the fear m's, but if you can't put it all together into working concrete tools that you can use efficiently and with a reasonably rapid turnaround, you will not be able to move forward. You will not be able to answer the questions you want to answer about your given discipline and so that embodiment of that intersection is I think where the challenge is opposed. Maybe there is somet
Steve Blank, lecturer Haas School of Business UCB. He has been a entrepreneur in Silicon Valley since the 1970s. He has been teaching and developing curriculum for entrepreneurship training. Built a method for high tech startups, the Lean LaunchPad.TranscriptSpeaker 1:        Spectrum's next. Speaker 2:        Okay. Okay. Speaker 1:        Welcome to spectrum the science and technology show on k a l x Berkeley, a [00:00:30] biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news. Speaker 3:        Hello and good afternoon. My name is Renee Rao and I'll be hosting today's show. Today we present part two of two interviews with Steve Blank. I lecture at the High School of business at UC Berkeley. Steve has been a serial entrepreneur in silicon valley since the late 1970s in the early two thousands he retired from the day to day involvement [00:01:00] of running a company. He has been teaching entrepreneurship training ever since. By 2011 he was said to have devised a scientific method for launching high tech startups, dubbed the lean launchpad. The National Science Foundation caught wind of this and asked Steve to build a variation for teaching scientists and engineers how to launch startups. In 2013 Steve partnered with UCLA and the NSF to offer the lean launch pad class for life science and healthcare. In part two, Steve Talks about getting [00:01:30] the NSF lean launch pad classes going, the evolution of startup companies and innovation, and now Brad swift continued his interview with Steve Blank. Speaker 4:        Okay. Speaker 5:        In your experience with these scientists and teaching them, are these people self selected? They're the ones who are anxious and eager and there are other scientists maybe back in the lab are reluctant afraid of the process. Speaker 4:        So just the personality of it. Yeah, so this goes back to the comment I made earlier about entrepreneurs being artists. It was the implicit comment [00:02:00] I just kind of both through in the beginning, but as important is that you can't assign entrepreneurship as a job, right? If you really think about them, you can't split up a room and say, those of you on the left, you're going to be musicians. And those are you on the right, you're working on the assembly line like, Oh yeah, WTI. I mean, it doesn't work. It doesn't work like that. All right. Entrepreneurship is a calling. Just like art, just like music, just like writing is something you have to passionately want to do, but much like art, we've learned something [00:02:30] a couple hundred years ago that very early on in people's lives in elementary school and junior high school in high school, we want to have our depreciation. Speaker 4:        They're not intensive classes, but their exposure to art that people might not know their artists. They might not know they have a passion to paint or to sculpt or to write or to entertain. I will contend because entrepreneurship is an art. We actually need those type of classes early on because scientists didn't understand [00:03:00] that not was their passion to invent and create. They might actually have an equal passion to wait a minute, I actually want to take this thing all the way through when I want to see what happens. If hundreds of thousands of people were being affected by this medicine, not just, here's my paper in the latest publication. It doesn't mean everybody could do that, but it means we've not yet gotten the culture to where we could say, well is this something that kind of excites you? And I think we're getting better to understand what it takes to do that. Speaker 4:        Would you have any [00:03:30] idea what that would look like? The kind of exposure that you would be talking about in grammar school or Middle School? Sure. It turns out one of the unintended consequences of teaching the scientists that National Science Foundation is, remember their professors, almost all of them tenured running labs and universities across the country. And so here they take this class from the national science foundation and about half or two thirds of them now go back to their own universities, pissed cause they go, how come we're not teaching this? And so what happens is the National Science Foundation asked [00:04:00] me and Jerry Angle, who was the head of entrepreneurship at Haas, why don't you guys put on a course through a nonprofit called NCIA to teach educators in the United States who want to learn how to teach this class. And so we teach the lean launchpad for educators. We teach now 300 educators a year. Speaker 4:        One of the outgrowths of that class was entrepreneur educators from middle school and high school started showing up and I went, you're not really teaching this to kids. They went, [00:04:30] oh Steve, you should see our class. And I went, oh my gosh, this is better than I'm doing. So they'd taken the same theory and they modified the language. So it was age appropriate. And so the two schools that had some great programs were Hawkin school outside of Cleveland and Dunn's school here in California. And in fact they're going to hold their own version of the educator class in June of 2014 for middle school and high school educators who were interested in teaching this type of entrepreneurial education. So I think it's starting to be transformative. I think we [00:05:00] have found the process to engage people early and not treated like we're teaching accounting to do, treating it like we're teaching art. Speaker 4:        And again, we're still experiment thing. I wish I could tell you we got it now. I don't think so. I think we're learning, but the speed at which we're learning through it makes me smile. That's great. It is great. The Passion of the educators really is exciting. And Are you able to teach us remotely so that scientists from around the country don't have to come to you and sort of stop what they're doing? I was teaching the class [00:05:30] remotely. It's now taught in person in multiple regions. So that's how we solved that problem. But my lectures were recorded and not only were they recorded, they were recorded with really interesting animation. So instead of just watching me was a talking head. These are broken up into two minute clips and it's basically how to start a company and it's on you udacity.com so if you want to see the lean launch pad class in the lectures, it's on your udacity.com it's called the p two 45 but by accident we made these lectures public to not only the [00:06:00] national science foundation scientists, but we opened it up to everybody. Speaker 4:        And surprisingly there is now over a quarter million people have taken the class. I've had people stop me at conferences and have told me that the Arabic translation, which I didn't even know existed, it's the standard in the Middle East. I had people from Dubai and Saudi Arabia in Lebanon literally within 10 feet go, oh well we recognize you. And I went, who are you turning over, Mr Blank, you worthy? I went, what's going on? I laugh not because it's me, but because [00:06:30] this is the power of the democratization of entrepreneurship. I have to tell you a funny story is that I grew up with the entrepreneur cluster was silicon valley and something in the last five years that I've gotten to travel with both Berkeley and Stanford and National Science Foundation to different countries to talk and teach about entrepreneurship. And my wife and I happened to be on vacation in Prague and when I really knew the world had changed as my wife had said, you know Steve, we're kind of tired of eating hotel food. Speaker 4:        I wonder if there were ending entrepreneurs and Proc, I didn't want to, I [00:07:00] don't know. You know, let me go tweet and any entrepreneurs and Prague, you know, looking for a good check. Brie hall and hour and a half later we're having dinner with 55 entrepreneurs and Prague television is there and they said, Steve, you don't understand. Here's why. Here's an entrepreneur community everywhere. The only thing we still have unique in the bay area is that entrepreneurship and innovation. We've become a company town. That is our product. Much like Hollywood used to be movies in Detroit used to be cars in Pittsburgh steel. [00:07:30] While obviously there are people who do other stuff, teach in restaurants, put the business. The business to the bay area really is entrepreneurship and innovation. While we tell stories about the entrepreneurs, the unheralded part of that ecosystem is that we have equally insane financial people. Speaker 4:        Why Silicon Valley happened was that the venture capitalist in the 1970s in Boston when it wasn't clear whether it was going to be Boston or Silicon Valley to be the center of entrepreneurship, the venture capitalist in Boston continued to act [00:08:00] like bankers, venture capitalists in Silicon Valley. They decided to act like pirates and the pirates want and so what really differentiates the observational make with an entrepreneurship is everywhere in the world. Entrepreneurial clusters only happen when all these things, these components, primarily entrepreneurs, but a heavy dose of risk capital capable of writing not only small checks but large checks and doubling and tripling down on startups. That's why you have the Facebooks and the googles and the twitters [00:08:30] around here. You also have a culture let's people know and understand. In the 1950s and sixties people came to San Francisco and Berkeley to live an alternate personal lifestyle, but they were hitting 30 miles south to have an alternate business lifestyle around Stanford and it was this kind of magic combination of great weather, the ability to do things in both business and your personal life that you couldn't anywhere else. These cultural phenomenons actually were and under appreciated u
Steve Blank, lecturer Haas School of Business UCB. He has been a entrepreneur in Silicon Valley since the 1970s. He has been teaching and developing curriculum for entrepreneurship training. Built a method for high tech startups, the Lean LaunchPad.TranscriptSpeaker 1:        Spectrum's next. Speaker 2:        Okay. Speaker 3:        [inaudible].Speaker 1:        Welcome to spectrum the science and technology show on k a [00:00:30] l x Berkeley, a biweekly 30 minute program bringing you interviews, featuring bay area scientists and technologists as well as a calendar of local events and news [inaudible]. Speaker 4:        Hi, and good afternoon. My name is Brad Swift. I'm the host of today's show. Today we present part one of two interviews with Steve Blank, a lecturer at the Haas School of business at UC Berkeley. Steve has been a serial entrepreneur in silicon valley since the late 1970s [00:01:00] see if you recognize any of these companies. He was involved with Xylog convergent technologies, MIPS, computer, ardent, super Mack, rocket science games and epiphany. In 1999 Steve Retired from day to day involvement in running a company since 2002 he has been teaching and developing curriculum for entrepreneurship training. By 2011 he was said to have devised [00:01:30] the scientific method for launching high tech startups, dubbed the Lean launch pad. In part one Steve Talks about his beginnings, the culture of Silicon Valley, the intersection of science, technology, finance, and business. Steve Blank, welcome to spectrum. Oh, thanks for having me. I wanted to find out from you how it is you got started as an entrepreneur. What attracted you to that? Speaker 5:        He's probably the military. I, uh, spent four years in the air [00:02:00] force during Vietnam and a year and a half in Southeast Asia. And then when I came back to the United States, I worked on a B, 52 bombers in the strategic air command. And I finally years later understood the difference between working in a crisis organization, which was in a war zone where almost anything was acceptable to get the job done versus an execution organization that was dealing with mistakes. Men dropping a 20 megaton nuclear weapon where you process and procedure was actually imperative. And it turned [00:02:30] out I was much better in the organizations that required creativity and agility and tenacity and resilience. And I never understood that I was getting the world's best training for entrepreneurship. I went back to school in Ann Arbor and managed to get thrown out the second time in my life out of University of Michigan. Speaker 5:        I call that the best school I was ever thrown out of a Michigan state was the next best school where it was a premed. And then, um, I was sent out to silicon valley. I was working as a field service engineer and what I didn't realize two years later was 16% [00:03:00] startup to bring up a computer system in a place called San Jose. And San Jose was so unknown that my admin got us tickets for San Jose, Puerto Rico until I said, I think it's not out of the country. I came out there to do a job to install a process control system. I thought it was some kind of joke is that there were 45 pages of advertisements in the newspaper at the time for scientists, engineers, et cetera. And I flew back and quit, got a job at my first startup in Silicon Valley [00:03:30] and subsequently I did eight of them in 21 years. Speaker 5:        What were some of the ones that stand out out of the eight? You know, I had some great successes. There were four IPOs out of the eight, I'd say one or two. I had something to do with the others. I was just kinda standing there when the safe fell on the guy in front of me and the money dropped down and I got to pick it up. But honestly, in hindsight, and I can now say this only in hindsight, I learned the most from some of the failures though I wouldn't tell you why I wanted to learn that at the time, but failing [00:04:00] and failing hard when it was absolutely clear it was your fault and no one else's forced me to go through the stages of denial and then blame others and then whatever. And then acceptance and then ultimately kind of some real learning about how to build early stage ventures. Speaker 5:        You know, I blew my Nixon last company, I was on the cover of wired magazine and 90 days after the cover I realized my company was going out of business and eventually did. And I called my mother who was a Russian immigrant and every time I spoke to my mother I [00:04:30] had to pause because English wasn't her first language. And you know, I'd say something and pause and then she'd say something back and pause. And whenever I said, mom, I lost 35 million hours, pause. And then she said, where'd you put it? I said, no, no, no mom, I'm calling you to tell you none of them was 30 I didn't even get the next sentence out. Cause then she went, oh my gosh, she wants $35 million. We can't even change your name. It's already plank. And then she started thinking about it and she said, and the country we came from [00:05:00] is gone. Speaker 5:        There's no fast to go. I said, no, no mom though. What I'm trying to tell you is that the people gave me $35 million, just give me another $12 million to do the next startup. And it was in comprehensible because what I find when I talked to foreign visitors to silicon valley or to any entrepreneurial cluster, you know, we have a special name for failed entrepreneur in Silicon Valley. Do you know what it is? Experienced? It's a big idea in the u s around entrepreneurial clusters, failure equals experience. [00:05:30] People don't ask you if you change your name or have to leave town or you're going to go bankrupt, et cetera. The first thing your best friend will ask you is, so what's your next startup? That's an amazing part of this culture that we've built here and that's what happened to me. My last startup, I returned $1 billion each to those two investors and it's not a story about me, it's a story about the ecosystem that we live in that's both supremely American and supremely capitalists, but also Sir Pulliam clustered in just [00:06:00] a few locations in the United States where there are clear reasons why one succeeded to some fail. Speaker 5:        You know, when I retired from my last one, I decided that after eight startups in 21 years, my company was about to go public and my kids were seven and eight years old at the time and luckily we had children when I was in my late thirties and so therefore I got to watch people I admired incredibly at work, watch how they dealt with their families. And what was surprising [00:06:30] is that most of them had feet of clay when it came to home. They basically focused 100% of their efforts at work and as their kids grew up, their kids hated them. I kind of remember that in the back of my head, and so when I had the opportunity to retire, I said, I want to watch my kids grow up. And so I did. And that's a preambled answer your question. That's at the end. Speaker 5:        For the first time in my life, my head wasn't down completely inside trying to execute in a single company. I had a chance to reflect on [00:07:00] the 21 years and believe it or not, I started to write my memoirs and I got, you know what I realize now in hindsight, it was actually an emotional catharsis of kind of purging. What did I learn? And I asked, it was 80 pages into it writing. He was a vignette and I would write lessons learned from each of those experiences and what I realized truly the hair was standing up and back of my neck. On page 80 there was a pattern I had never recognized in my career and I realized no one else had recognized [00:07:30] it either and either I was very wrong or there might be some truth and here was the pattern in silicon valley since the beginning we had treated startups like they were smaller versions of large companies. Speaker 5:        Everything a large company did. The investment wisdom was, well they write business plans, you write business plans, they organize sales, marketing and Bizdev and you do that. They write our income statement, balance sheet and cashflow and do five year plans and then you do that too. Never noticing that. In fact that distinction, and no one had ever said this [00:08:00] before, what large companies do is execute known business models and the emphasis is on execution, on process. What a known business model means is we know who our customer is, we know how to sell it, we know who competitors are. We know what pride in an existing company it's existing cause somebody in the dim past figured that stuff out. But what a startup is doing is not executing. You think you're executing. That's what they told you to go do, but reality you failed most of the time because you were actually searching [00:08:30] for something. Speaker 5:        You were just guessing in front of my students here at Berkeley and at Stanford I used the word, you have a series of hypotheses that are untested, but that's a fancy word for you're just guessing. And so the real insight was somebody needed to come up with a set of tools for startups that were different than the tools that were being taught on how to run and manage existing corporations. And that tool set in distinction at the turn of the century didn't exist. That is 1999 [00:09:00] there was not even a language to describe what I just said and I decided to embark on building the equivalent of the management stack that large corporations have for founders and early stage ventures. Speaker 6:        Mm, Speaker 7:        [00:09:30] yeah. Speaker 8:        You are listening to spectrum on k a l x Berkeley. Steve Blank is our guest. He is an entrepreneur and lecturer at the hospital of business. In the next segment of your talks about collaborating with the National Science Foundation Speaker 9:        [inaudible].Speaker 4:        [00:10:00]
Josephine Yuen

Josephine Yuen

2014-02-2129:58

Dr. Josephine Yuen is the Ex Dir of E3S Center a collaboration of UCB, MIT, Stanford and UTEP. She is a Physical Chemist, Ph.D. from Cornell. She explains the e3s Center goals, Community College program, and focus on getting the research right.TranscriptSpeaker 1:        Spectrum's next Speaker 2:        [inaudible] [inaudible]. [inaudible]. Speaker 1:        Welcome to spectrum [00:00:30] the science and technology show on k a l x Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news. Speaker 3:        Hi and good afternoon. My name is Brad Swift. I'm the host of today's show. Our guest is Dr Josephine u n. She is the executive director of the [inaudible] center, a collaboration of UC Berkeley, MIT, Stanford, [00:01:00] and the University of Texas at El Paso. Dr [inaudible] is a physical chemist by training with a phd from Cornell University and she was also a postdoctoral fellow at the Argonne National Laboratory. She became a member of technical staff in bell laboratories and eventually held director level positions in product development, product management, manufacturing and supply line management. More recently, she was the CEO of try form x INC which develops and manufactures precision polymer [00:01:30] optics for the communications consumer products and medical industries. After spending 30 years in industry, she was a program director at the National Science Foundation. Today she talks with me about the [inaudible] center here at Berkeley, Josephine Ewen. Welcome to spectrum. Speaker 1:        Thank you.Speaker 3:        What is the origin story of e three s? How did it all get started? Speaker 1:        Well, let's first understand what e three s stands for. It's [00:02:00] an acronym and this acronym for a center does headquarted in UC Berkeley and it's the center for energy efficient electronics science. Our story really began at the National Science Foundation. The National Science Foundation has several programs that fund centers intended to bring researchers from many institutions together to solve difficult problems [00:02:30] and one of those programs is the science and Technology Center program. Way Back and I believe most probably was 2008 there was a solicitation asking technical community and that is universities. Did you submit proposals for a new science and technology center? This type of solicitation comes out once every three years or so and so in two and nine professor [00:03:00] [inaudible] off the east department submitted a proposal that brings together researchers from various institutions, namely UC Berkeley, MIT, and Stanford to propose a new center, a new center that will do research necessary to come up with an alternative to the current day trend system. Speaker 1:        No, you may want to ask, why do we need that? After all, transistors are everywhere and [00:03:30] it's in every aspects of our life. The reason we need an alternative is that we need an nutrient system or any kind of electronic components that would draw significantly less energy. Pol consumption in electronic devices have been dropping by virtue of the fact that through miniature isolation, the electronic industry has made great gains, not only in power consumption but in the cost of the device, [00:04:00] but unfortunately, miniaturization has hit a brick wall. It no longer is delivering the benefits it has delivered 10 plus years ago and you can see it by the very fact that the operating voltage of those devices in the past 10 plus years ago when the line was shrinks, you can see a big drop in the operating voltage, but in the last 10 years it's more or less flattened out and [00:04:30] even though the line was has shrunk further, we see that the operating voltage is around a vote, maybe slightly less than a vote now in the state of the art devices, but really we want to get to a device that can operate in the millivolt range and that is what the centers set out to do and we're doing the research necessary to get there. [inaudible] Speaker 3:        I wanted to have [00:05:00] you talk about the themes of research at e three s and what made choosing themes and appealing method for your organization? Speaker 1:        The center is researching different scientific concepts to achieve different device approaches. No one knows what is the best approach at this point. The current c Moss transistor is ubiquitous. There's no reason to believe is replacing will be [00:05:30] equally ubiquitous. The replacement may be a different solution for different application. That's why our research portfolio includes four themes. Not all four themes address the transistor. If you think of a integrated circuit, it's really a network of switches and the wires that connect us, which is three of the themes, address a different [00:06:00] type of switch while one theme address, how do you have more efficient wires or lower power consumption wires? Today's wars are copper wires, metal to wires, but we are doing research to have the communication between switches being done optically Speaker 3:        and just for the record, what are the four themes? Speaker 1:        The first theme is Nano Electronics. [00:06:30] The second theme is Nano mechanics. The third theme is nanophotonics and the fourth theme is Nano magnetics and you can see the first, second and fourth addresses. How do you get a different type of switch? While the third theme addresses the interconnection, namely the use of light for the interconnection amongst the switches [00:07:00] that we also call optical interconnect. Speaker 3:        How interdisciplinary is the center? Do you have a sense of that in terms of the investigators and the researchers? Speaker 1:        The center is highly into disciplinary disciplines involved. Our electrical engineering, chemistry material science and Physics Speaker 4:        [inaudible]Speaker 3:        [00:07:30] you are listening to spectrum of public affairs show on k a l x Berkeley public. Our guest is Josephine n. She is the executive director of the three s center. In the next segment she details the e three s community college outreach group. [inaudible]. An [00:08:00] interesting part of the e three s center is the program you've developed with community colleges. Do you want to explain how that program began and what its goals are? Speaker 1:        A science and technology center is expected to educate besides do research and the education is not only have graduate students, so in I'll propose which NSF we decided to focus [00:08:30] on community college students. The reason we decided to do that is because in California we have the largest community college system in the country and many women and underrepresented minority start their post high school education. In community colleges. Our needs to increase its output of workers in this fuse [00:09:00] state utilizes science and technology disciplines and in order to do that we have to be able to encourage and groom participants from populations that are typically underrepresented in the technical world and this really based on that consideration that we say less focus on encouraging students, helping students from community colleges [00:09:30] develop a career in science and engineering. Speaker 3:        What can you tell me about how the program is working and how people participate in it? From the community college side, Speaker 1:        we have a program on campus called the transfer to excellence and this program while started by the East Rehab Center has now expanded to include other centers. This has been made possible because in addition to [00:10:00] the east area centers grind, the National Science Foundation also gave us an additional three years grant to expand the community college program and that has allowed the program to place students not only in the [inaudible] center but also to other centers on campus. Namely coins, the deals with Nana mechanics and also [inaudible] that deals with [00:10:30] synthetic bio fuse. The students from community college come on campus in the summer for nine weeks to do research, the first weakest bootcamp with the learn some of the basics to prepare them to go into the labs and then for the other eight weeks they work in the lab on individual projects and at the end, in the last week of the internship, they have to [00:11:00] present their work both in terms of giving talks and also in the form of posters in a poster session and that typically takes place at the beginning of August. And how large is that program? Last summer we hosted approximately 15 students. Speaker 3:        Does that sort of what your target is for each summer? Speaker 1:        Yes. Between 12 to 15 is off target [inaudible]. Speaker 3:        And how do people [00:11:30] in community colleges get involved in it? How do they get selected or how do they apply? Speaker 1:        In the fall we go through what we consider our recruitment face. We Post the information about the program on the website of our center. The staff of the center also goes out on campus to recruit. We host workshops to share information about a program and also to provide pointers to potential [00:12:00] applicants, how best to prepare the application. We also have webinars with, again, the purpose of encouraging and guiding potential applicants and how to apply and we also work with various community college or Nay stations to promote the program. For example, we ran a workshop in a Mesa conference. Is it statewide? [00:12:30] Yes. We're very proud to say that we have brought students from Mount Shasta down to south of San Diego from the bay area to the central valley Speaker 3:        and I suppose the hope is that the students will then go to four year colleges get degrees. Are you tracking at all their progress in that effort? Speaker 1:        Yes. Clearly th
Michel Maharbiz & Daniel Cohen. Michel is an Assoc Prof with EECS-UCB. His research is building micro/nano interfaces to cells and organisms: bio-derived fabrication methods. Daniel received his PhD from UCB and UCSF Dept of Bioengineering in 2013.TranscriptSpeaker 1:        Spectrum's next Speaker 2:        [inaudible].Speaker 1:        Welcome to spectrum the science and technology show on k [00:00:30] a l x Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news. Hello and good afternoon. My name is Chase Jakubowski and I'm the host of today's show. Today we present the final of our two interviews with Michelle Ma Harbas and Daniel Cohen. Michelle is an associate professor with the Department of Electrical Engineering and computer science at UC Berkeley. His [00:01:00] current research interests include building micro nano interfaces to cells and organisms and exploring the bio derive fabrication methods. Daniel Cohen received his phd from the Joint UC Berkeley U CSF Department of Bioengineering Program in 2013 together they have been working on the fronts project funded by the National Science Foundation. Fronts is an acronym for flexible, resorbable, organic nanomaterial therapeutic systems. In this part [00:01:30] two of our interview, we discussed the current limits of instrumenting the human body, the ethics that swirl about bioengineering and the entrepreneurial urges of engineers. Here's part two. Yeah. Speaker 3:        What sort of limits do you think there might be with these kinds of interfaces? Do you foresee any limitations on the technology or is it off we go, we don't have Saturday that work well in the body right now we don't have a sense of what to do with a lot of the data. It's not clear what you'd put in and out [00:02:00] getting the thing in. You're not going to do that on your own for most implants to put designs and so I think the limitations are huge, especially for electrical stimulation. There are very few safe ways of stimulating with DC fields inside the body. You need very special materials, short time periods. From an engineering perspective there are enormous challenges. Then people aren't going to be running around doing this anytime soon, but I think the data deluge is probably the biggest one we'll wind up with cause we'll eventually solve the technology side and then it's what do you do with all of this stuff? Speaker 3:        [00:02:30] I think there are an enormous engineering challenges, but I think of course for us it's exciting because we are engineers. I think that people see something like this and immediately we're very good at linear extrapolation, right? So, oh that means in five years we'll all look like terminator or something. So I think there's a lot of work to be done, as Daniel said, in building things that robustly survive in the body for very long periods of time, if that's what's required. You know we were talking about resorbable stuff, but you're talking about adding therapeutics or things that have a therapeutic function that are electrical in nature at some level. A lot of the there is, you actually want Speaker 4:        [00:03:00] them to last a long time in there and do their business and that's a very, very big open challenge. I would also say if you wanted to put on the futurist hat, you know in the end you're also limited by the substrate, right? You have a certain genetic code in your cells are predisposed to do certain things. So you know you're working with those base materials and what those cells are doing. And so I think there's a lot of future for this type of instrumentation, but you know, we're not going to look like the Borg anytime soon. I don't think. Are there any challenges that we haven't really gotten [00:03:30] to in developing these electronics so that they interact with biological systems in specifically technical stuff, environmental stuff, even legal and ethical things. Are there questions you guys wrestle with? We've had a lot of these cars, agent Daniel smiling because we've had conversations by often, not just with Daniel, with Peter [inaudible], who's another student that just graduated from the group. Speaker 4:        It does neuro. It started back when we were doing some of the bug work. I think for this project, I'm pretty comfortable. You know, we're working on very fundamental things. [00:04:00] I don't know that I could address them in intelligently today, but I think that there are interesting ethical concerns, societal concerns as we instrument ourselves more and more and they've been discussed. I mean, this is something that if you're interested in this topic, you can find quite a bit of discussion on the web or in various talks. When I started instrumenting my body to some extent. Where's the line, for example, between traditional FDA approved devices and consumer gadgets that you buy with your iPhone, where should that data go? You know, what are you going to do with it? Who's gonna do what with it? Is [00:04:30] it all yours? You know, there's an interesting argument that came, a friend of mine, David Lieberman, who's doesn't do this kind of work, but he's very interested in sensors and he's recently been interested in genetic screening and he brings up the fact that a lot of this extra information sometimes isn't very actionable and so it just adds noise. Speaker 4:        But from our perspective, I think what we're doing is pretty exciting and I think it has a chance to help people and it's early days, Speaker 3:        there's a lot more transparency than there used to be too. So the maker movement and just people are much more interested in trying things on themselves, [00:05:00] not cutting their arms up in, but instrumenting, looking at heart rate, looking at salinity of the skin, just different things that various startup companies are playing with and that you can look up schematics for on the Internet and so there's more of a culture of what you can get out of it. The enhancement side I think is somewhat behind right now because it's not even clear what we're doing with any of these. So ethically we haven't run into that issue quite yet. Speaker 4:        And in terms of the group that fronts contains all the different disciplines [00:05:30] that are working on it, it's a rather interdisciplinary project. Do you feel that your training taught you how to do interdisciplinary work or did you learn it on the job? I think I've always been in interdisciplinary environment in my work. I think it's always been accepted. I think it's been encouraged. I think that's the name of the game. Interestingly enough, I was just having a conversation with Edward Lee from our department two days ago where I was joking. I said the days of monastic academia are largely ending or, but interestingly enough, a lot of us choose academia [00:06:00] because we want to go live in a monastery. So it's say it's a very interesting sort of thing these days. I think certainly in a place like Berkeley, you want to make sure you're deep in your competence to, you're making contributions in a meaningful and deep way, but the nature of everything is very interdisciplinary.Speaker 4:        Do you ever feel like, Oh, if I'd had more of this or more of that, if I'd had more exposure than I would just be so much more comfortable in this invited more money. No, I'm kidding. Now we're well funded. You know, you've only have so much time to spend in your field and to get competency. It's hard to do everything [00:06:30] and know everything. You can't really, you can't, but you should know who to talk to. Right. Interdisciplinary stuff is not trained and it's not easy to train someone in per se. It's a mindset and the environment is important. And in undergraduate work, you tend to be a specialist in something. And in Grad school you're expected to completely specialize, but I think you really miss out on a lot. So what's Nice, at least in Berkeley is it's very easy to transition across. Labs, talk to different people, set up collaborations, but at the end of the day, you're not going to be an expert in those things, [00:07:00] but you're going to know who to talk to and that creates a very nice network that is very innovative at the end of the day. Speaker 4:        So sub specialty in a way, or you're familiar with it, you can do the work if you need to, but you know people who really know that and that's the most important part. You put a good team together and that's where most of the innovations today are coming from. Not from single disciplines. Yeah, I think Berkeley is great for this. You have the freedom to go and you have brilliant people around that can inform and willing to participate with visibility and guide and mentor. I mean it's the freedom to do this and the mentors [00:07:30] to do it. I think all the top American institutions do this. But in engineering that's the modern approach. Speaker 5:        Mm MM. Speaker 6:        Spectrum is a public affair show on k a l ex Berkeley. Our guests are Michelle Maha [inaudible] and Daniel Cohen of UC Berkeley. They went to build a smart badge for wounds. In the next segment they talk about multidisciplinary work and [00:08:00] science fiction. Speaker 4:        Well, you started a company, you took research out of the lab and started a company and then sold it. And what did you learn from that process? Is there something, it's fun. Do you have an Aha moment of like, is this how to do it kind of a thing? No, no. I have a great deal of respect for people who make it their business to make money in the private sector in, in technology. I mean, of course these days that's a trivial thing to [00:08:30] say, right? Cause in the bay area, that's what we live off of. But I was fortunate enough that I met a number of individuals that were already in the private sector and we're interest
Michel Maharbiz & Daniel Cohen. Michel is an Assoc Prof with EECS-UCB. His research is building micro/nano interfaces to cells and organisms: bio-derived fabrication methods. Daniel received his PhD from UCB and UCSF Dept of Bioengineering in 2013.TranscriptSpeaker 1:        Spectrum's next. Speaker 2:        Okay. Speaker 1:        Welcome to spectrum the science and technology show on k a l x Berkeley, a biweekly 30 minute [00:00:30] program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news. Speaker 3:        Hi and good afternoon. My name is Brad Swift. I'm the host of today's show. Today we are presenting part one of two interviews with Michelle and Harb is and Daniel Cohen. Michelle is an associate professor with the Department of Electrical Engineering and computer science at UC Berkeley and the Co director of the Berkeley Sensor and actuator center. [00:01:00] His current research interests include building micro and nano interfaces to cells and organisms and exploring bio derived fabrication methods. Daniel Cohen received his phd from the Joint UC Berkeley and UCLA Department of bioengineering program in 2013 his phd advisor was Michelle Ma harvests. Together they have been working on the fronts project and NSF f Free Grant [00:01:30] F re stands for emerging frontiers and research and innovation fronts is the acronym for flexible, resorbable, organic and nanomaterial therapeutic systems. In part one of our interview, we discuss how they came to the challenge of measuring and understanding the so-called wound field. Here's part one, Michelle [inaudible] and Daniel cone. Welcome to spectrum. Thank you. Thanks. How was it that [00:02:00] electrical fields generated by wounds was discovered? So I think Daniel should take this one cause he's the, he's the group historian on this topic. In fact, he gave us a little dissertation during this thesis talk Speaker 4:        in the day when electricity was sort of still a parlor trick. There was a lot of work being done to try to figure out where it was coming from. There was a lot of mysticism associated with it. And this is in the mid to late 17 hundreds and so Galvani is a name most people have heard. Galvanism was a term [00:02:30] coined for his work and what he found was all the work with frog legs. So he used to dissect frogs and could show that if you had dissimilar metals in contact with different parts of the muscle and the nerves, the legs with twitch and amputate the frog leg. So his conclusion was that electricity had something to do with life and their living things were made alive by having this spark of life. And this was a really super controversial idea because for a long time there had been a philosophical debate raging about vitalism versus mechanism, which is the idea that all living things are special because of some intrinsic vital force versus the idea [00:03:00] that physical principles explain life. Speaker 4:        So the vitalist really liked this idea that electricity is the spark that makes living things special. There's a lot of dispute about this, but eventually Volta who is right after him and who the vault is named after showed that it was really just the movement of ions and things in salt solutions, but it was a little too late and the mystical aspect of this had come along. So the problem then was that this idea prevailed into the early 18 hundreds and so Galvani his nephew Aldini started doing [00:03:30] these experiments in England where he was given permission to take executed criminals and basically play with the corpses and he was able to create a corpus that would go like this. And raise an arm or wink an eye at an audience. And this was the idea of the reanimated corpse. So people were having a lot of fun with this, but it wasn't clear that it wasn't mystical. Speaker 4:        And so this is the long answer to the question, but that's the backdrop where the science starts to come in. So the first thing is Frankenstein gets published out of this, and everybody's getting into the whole vitalism idea [00:04:00] at this point. And Frankenstein was written as a part of a horror story competition. It was almost a joke. But the funny thing is Frankenstein. Well, how would you say Frankenstein? The monster came to life to lightning? Like that's a line. It wasn't a Hollywood fabrication and everyone assumed that. But Mary Shelley never wrote anything about lightning or electricity. She in fact, wrote the technology was too dangerous to describe in texts for the average person. But in her preface, she explains that the whole origin of this idea, and this is where the answer to the question comes from, was that [00:04:30] she had writer's block when she was writing the story and she overheard her husband Percy Shelley and Lord Byron having an argument about work done by Erasmus, Darwin and Erasmus. Speaker 4:        Darwin was a big natural philosopher or scientist at the time who was a big vitalist. So he's really into the idea of the spark of life and also this idea of spontaneous generation that where does life come from when you have a compost heap, fruit flies appear. There was an idea that be composing garbage produced life, and that was part of spontaneous generation. And he did a lot of experiments where he'd seal things like wet flour into a bell jar [00:05:00] and to show that organisms came out in a sealed environment and they just didn't know about microorganisms and things like that. So he did a famous experiment where he dehydrated some species called Vermicelli all. Sorry, I made the mistake. I'm about to talk about 40 cello, which is a little organism. And when he added water again, they came back to life. Now, Lord Byron and Percy Shelley didn't understand any of this, and the conversation that Mary Shelley eavesdropped on was one where they said that Erasmus Darwin had taken Vermicelli Pasta, put it inside the Bell Jar, sealed [00:05:30] it, and through some magic of his own allowed it to twitch. Speaker 4:        So he had essentially given life to pasta. Now Mary Shelley wrote that she didn't believe any of this was actually really what happened. But this idea of animating the inanimate gave her the idea for Frankenstein. Then she writes the one line that links it to electricity, which is, and if any technology would have done this, it would probably have been galvanism, which is this idea of applying electricity to something. And so that's where this whole idea of life and electricity came from. By that point, the scientists had finally [00:06:00] caught up with all the mysticism and started to do more serious experiments, and that's when Carlo met Tucci in 18 and 30 something found that when you cut yourself, there's some sort of electrical signal at the injury source. And that was his main contribution that was called the wound current or the wound field and then after him was the guy who really formalized the whole thing, which was do Bob Raymond, who was a German electrophysiologist who found that if you have any sort of injury, he could actually measure a current flowing at the side of the injury. Speaker 4:        He could show that that changed over time. He cut his own thumb and [00:06:30] measured the current flow and they didn't have an explanation for why it happened, but they knew that it had something to do with the electric chemistry there. This was the birth of electrophysiology and then he went off and did all these things with action potentials in neurons, which is why almost no one's heard about this injury side and the fact that electricity's everywhere in the body normally and it's not mystical, it's electrochemical. We're much more familiar with the neural stuff and this other stuff on the wound side sort of languished until maybe the late 19 hundreds because it was rare. It was weird. It wasn't clearly important [00:07:00] and a lot of the players involved were so caught up in all sorts of other things that we tend to forget about this. So that was the whole long winded history of where the wound field came from. But it's a good story. It is a good story. Yeah. Speaker 5:        [inaudible] you are listening to spectrum KALX Berkeley. Our guests are Michael ml harvest and and Daniel Colon. They're both bioengineers in the next segment they talk about the genesis of the fronts [00:07:30] project. Speaker 6:        Michelle, when you approached the NSF yeah. For a grant for this idea, how long had you been thinking about it? The smart bandage idea, how far down stream were you with the idea? We had been toying with the idea for quite some time and there's a bit of background to this as well. So my group amongst other things builds flexible electrode systems. [00:08:00] You can call them for neuroscience in your engineering, and most of those systems are intended to record electrical signals across many different points across many electrodes usually honor in the brain. And so we had this basic technology lying around. This is sort of a competence that the group has had for quite awhile. The other thing that was beginning to intrigue us, and I have to credit Daniel for sort of beginning of the discussions and kind of pushing this along in the early years, so Daniel and I have like a tube man club of sitting around thinking of crazy things and [00:08:30] one of the things that Daniel had been interested in was the idea of resorbing or having so some of the materials disappear as they do their job in the body and this is a notion that's become very popular recently actually over the last couple of years in into community in the engineering community in general. Speaker 6:        Which brings us to another question I had, which is the difference between resorptionSpeaker 4:        and absorption. Absorption might imply that you're taking the components up and they're becoming part of the body. Resorption is really just a ve
Richard Norgaard Prof Emeritus of Energy and Resources at UC Berkeley. Among the founders of ecological economics, his research addresses how environmental problems challenge scientific understanding and the policy process. Part two of two.TranscriptSpeaker 1:        Spectrum's next. Speaker 2:        Okay. Speaker 1:        Welcome to spectrum the science and technology show on k a l x Berkeley, a biweekly [00:00:30] 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news. Speaker 3:        Hi there and good afternoon. My name is Renee Rao and I'll be hosting today's show today. We present part two of our interview with Richard Norgaard, professor emeritus of the energy resources group at UC Berkeley. He's among the founders of the field of ecological economics. His recent research addresses how environmental problems challenged scientific understanding [00:01:00] and the policy process, how ecologists and economists understand systems differently and how globalization affects environmental governance. In part two of the interview Norgaard talks about interdisciplinary problem solving. He also shares his thoughts on sustainability co-evolution and confronting a change in climate. Speaker 4:        You've been very interested in them multi-disciplinary collaborative research model. Yeah, this is true. I've had very interesting experiences working in groups with people who think very differently [00:01:30] and I don't know when it starts. I guess probably the first project was a Ford Foundation funded project where eight or nine of us from different disciplines were set up as an Alaska pipeline team in 1970 the summer of 70 and we spent the summer talking to pipeline engineers to state officials, federal officials, scientists in the area, wildlife management people, native Americans, the Eskimo [00:02:00] about what's going on and as a team we tried to assess what's really the potential of [inaudible] Bay oil field for the state of Alaska and what are the myths, how do we break those myths and try to come up with a better understanding. Shortly after I came to Berkeley, Robert Vandenbosch from biological control entomology came into my office and said, we need an economist to work on pesticide use, and I didn't know anything about pesticide use other than what I'd read in silence swing by Rachel Carson and I [00:02:30] had an incredible experience working with Vandenbosch, Carl Huffaker, many, many anthropologists, but rather quickly. Speaker 4:        Also just because there weren't other economists doing it. Found myself on a presidential advisory committee working with the council on environmental quality on pesticide policy, a working on on 19 University National Science Foundation Integrated Pest Management Project. And you get out in the field, you talked to farmers, [00:03:00] end up talking to the pesticide industry people and you learn a lot and you try to assemble it and try to change how things are working. So early in my career I got very involved with these interdisciplinary activities, but the, the strongest experience was just joining the knowledges, being on national academy committees with the former president of Stanford University whose names Donald Kennedy, a tremendous scientist that was able to work across [00:03:30] scientific fields with other people. But I was seen scientists involved in collective understanding or using their judgment together to try to say, this is what science can say and this is what society probably should do given what we know. Speaker 4:        But it was a judgment process. It wasn't that there was a great big computer model that put all of our understanding together. And have you seen that process improving over time? I think there's more people participating in processes [00:04:00] like that. And the intergovernmental panel on climate change is certainly a massive experiment along those lines. And the Millennium Ecosystem assessment was one of these, we're doing it more. What we're not doing is actually teaching undergraduate students and graduate students that this is how science works when it really comes to understanding complex systems. It's a matter of getting in a room together and talking a lot and bringing your knowledges together. [00:04:30] And then that raises new questions that we can go back and study and do deeper research in small teams of maybe interdisciplinary or maybe it's strictly disciplinary, but it's that does my knowledge fit together with this other person's knowledge? Speaker 4:        And if not, what does it mean? And if it does, great, you know, science does not come together. And if it did, who would know, who would be smart enough to know and how would we know that person knew? And so there's a great problem, you got to do it together [00:05:00] and we're not teaching that yet. I think the energy and resources group does, but it's not quite as explicit or as open as it should be. And is that what makes that program so distinctive? Well, I tried to leave that mark on it and had the advantage of serving on the admissions committee. And certainly one of my criteria was to bring people to the program who had enough experience to have a sense of identity [00:05:30] and a sense of voice, experiential knowledge that they could bring to the group, but also to not just take the most brilliant students we could find on the list that best matched the interest of the professors, but to actually try to select 15 to 22 students who could learn together, who had different understanding, who had different disciplinary backgrounds or experiential knowledge. Speaker 4:        And so I literally tried to set it up as a shared learning to the extent I could. There's many people involved [00:06:00] in the, in the decision process, and of course the applicants this themselves have to say, yes, your best intentions are never carried out. But that was certainly an influence I tried to have. And to some extent did. And the book that you're working on now or I've just completed? Well, I just try authored a book, David Schlossberg and John Drysek. I have to say that they basically did most of the writing. We had try edited a handbook in Oxford Handbook on climate change in society [00:06:30] and so we decided we ought to build a write up a shorter book, a 200 page book that would be for lay people are educated obviously, but uh, a broader audience, a much broader audience. And the title of that is climate challenge society, right. And I [inaudible] wordpress. Yes. So I, I can say I contributed to the title climate challenge society and climate challenge in both ways that were having difficulty coming to grips with the concept of climate change. But we're also challenged [00:07:00] by the consequences of climate change and that books currently out. That book came out a couple of months ago. I have no idea how it's selling yet. I'm, I'm hopeful. Speaker 2:        [inaudible] spectrums. Brad Swift is interviewing Richard Norgaard and ecological economists. Next segment. He talks about the book that he's currently writing. Speaker 4:        [00:07:30] The book I'm writing now as the unusual title economism and the economy scene. And so elaborate on the first term economism. Uh, there's several ways to get into this, but you probably understand the difference between environmentalism and environmental science and that environmentalism is the movement. It draws on environmental science, but not as rigorously as it probably should. It doesn't mind using old [00:08:00] environmental science if that suits its purposes better. But environmentalism also feeds back on environmental science that environmental scientists needed speak to environmental ism environmentalist's and so they will choose words to speak to their public. We don't use the word economism. And the quickest way to say this, the difference between environmentalism and economism is that we don't use the word economism because there isn't any difference between economics and economists. [00:08:30] And they're kind of so tightly bound that we don't see the difference that, but economism is the beliefs we hold as a people. Speaker 4:        And those beliefs help keep the economy going there. The ideas that are invoked in political discourse. You can think of it as just like we think of environmentalism as only kind of a religious movement or a movement that brings people their social identity. Economism is similar in that way that our economic beliefs help rationalize where we are in the economy [00:09:00] or economic beliefs. Help rationalize allowing our corporations to use cheap labor abroad or economic beliefs. Sort of explain how the system we're in exists and why it's there. Almost everything in our lives on a daily basis and to understand that we have economism that intertwines with economic sciences. Economists themselves are engaged in this belief system in partly perpetrating it and [00:09:30] partly changing it. So that's the nature of the next book, the second term as econo scene and he wrote a familiar, many of them audience would be familiar with the idea of the Anthropocene, the idea that we're now in a new geological era, an era in which people are the primary drivers of environmental change, and that's controversial among the scientific community, but it's begun to be used quite a bit. Speaker 4:        And anthropocene to me is very vague. It doesn't [00:10:00] identify what it is. It's doing the driving. If you use the word econo scene, you should say, Nah, it's the economic system that we're in that's doing the driving and it's the economic system that we need to change. I mean we're not going to transform people. We're going to transform our social organization to solve this problem. And so econo scene to my mind is at least since post World War II is the appropriate term. As you look at the current eco
Richard Norgaard Prof Emeritus of Energy and Resources at UC Berkeley. Among the founders of ecological economics, his research addresses how environmental problems challenge scientific understanding and the policy process. Part one of two.TranscriptSpeaker 1:        Spectrum's next. Speaker 2:        Okay. Speaker 3:        [inaudible]Speaker 2:        [inaudible].Speaker 1:        Welcome to spectrum [00:00:30] the science and technology show on k a l x Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news. Speaker 4:        Hi and good afternoon. My name is Brad Swift. I'm the host of today's show. Today we are presenting part one of two interviews with Richard Norgaard, professor emeritus of the energy resources group at UC Berkeley. Richard Norgaard received [00:01:00] his phd in economics from the University of Chicago in 1971 he was among the founders of the field of ecological economics. His research addresses how environmental problems challenged scientific understanding and the public policy process, how ecologists and economists understand systems differently and how globalization affects environmental governance. In today's interview, Norgaard talks about the origins of economic science defines [00:01:30] ecological economics and discusses certainty and uncertainty in science. Here's that interview Richard Norgaard. Welcome to spectrum. Thank you. It's a pleasure to be here. Would you describe how economic theory and the science of economics has been forged over time? Speaker 5:        I hesitate to use that word science with economics, but like other patterns of thinking in in scholarly endeavors. It's a mix. There were the physiocrats [00:02:00] who basically were in admiration of physics and said, well, we ought to be able to think of the economy as a bunch of flows and they were on 1750 or so, didn't work out very well in the 19th century. As we knew more about energy, we had people more again from the physical side thinking about value, think about the economy as energy flows and we're still trying to do that well. What we really think of as sort of conventionally economics comes out [00:02:30] of moral philosophy and Adam Smith is sort of asking what makes a good society? How do people behave? And the markets have been around for Millennia. He took another look at markets and said, Gee, this is interesting to people acting in their own interests, make both of them better off. Speaker 5:        And this was just a thought experiment. If that's true, then then what? Then what and any expanded that thought experiment, what does it mean [00:03:00] with Spec to the role of markets and the role of government? And that's been the dominant pattern. But what I would say thought experiments, if we look at what's going out out there and say she has it like this, if this this was happening, and then expand that to a more systemic understanding of the economy as a whole is not been by hard data collection and patterns emerging from the data though there is that element to it though, right? Reinforce the [00:03:30] thought. Oh to be sure. Malthus's thought experiment was one of the most important ever and he just thought, well, you know, it looks like agricultural production increases linearly and population increases geometrically and what does that mean? And that meant that you're going to come to the limits and clashes and war and bad behavior and and therefore abstinence would be good. Speaker 5:        Late marriage would be good. And he definitely tried to back [00:04:00] that up with data. The data were very poor at the time. But yes, we've always tried to back up our thought experiments with data and sometimes that exchange changes how we think and makes our thinking more elaborate. But when I say we're different from other sciences in that we're less data-driven and more just pattern of thinking driven and then within the profession there are these various schools of thought to be sure we can [00:04:30] do get pressure to align yourself in some way. Where the school of thought, well I wouldn't say so much pressure, I would say it's, it's a desire or human desire for a sense of community and shared thinking and it's much more comfortable working with people who think like you do. And so there's pretty strong lines between people who think markets are most important and people who think power is most important sort of followers of Adam Smith or followers of Carl Marx. Speaker 5:        But [00:05:00] yeah, there are times when, I guess you could say you feel the pressure, but it's more just the pressure of a community that and communities are good communities help us think together and dig deeper along a pattern of thinking. But of course they also keep you in the same Rut. And then we, if you become deviant, oh yeah. How are you treated at that point? Well and are you encouraged to be deviant? So anyway, so there are rankings of what's strong economics and what's weak economics. [00:05:30] And on the neoclassical side, the mathematicians have always had bigger Thrones than those who actually go out and study how the markets work. And then those who actually study the, the laws and regulations that determine how markets work. Those are referred to as institutional economists and for many years institutional economists, which are the lowest ranking, they studied the facts, they just studied history. Speaker 5:        They weren't [00:06:00] high theorist, but of course it's, it's how, how laws get written that determine how markets work and not the mathematics. Early on in your career you've stepped out of the mainstream. I never was in the mainstream. I, I was out before I was in and I've always been out. I had a very strong experience as an 18 year old, 19 year old as a river guide in the Glen Canyon of the Colorado. And that's now under Lake Powell. And [00:06:30] I was one of a very small number of people who saw this area, but also saw it go under and I became a fairly committed environmentalist and then started thinking, well, I'm you know, 19 years old, I'm a sophomore, junior in college. What do I want to study, what I want to do in life? And I loved biology. I love geology, but nature is not the problem. We are. If we are, then what's the biggest thing? And it was not too difficult to say, well, it's, [00:07:00] it's our economy. It's how we think about our relationship with nature as determined by our economics and economic beliefs. And so I went into economics from the outside knowing that I was always on the outside. I don't recommend it. Speaker 2:        [inaudible] you are listening to spectrum on k a l x Berkeley. [00:07:30] Richard Norgaard is our guest. He is an ecological economists. In the next segment, he defines it, logical, economic [inaudible]. Speaker 5:        And what role do you think ecological economics has to play in shaping and informing policy? Well, we should probably describe ecologically economics a little bit first. And [00:08:00] I like to put it in a little bit in juxtaposition with environmental economics. Environmental Economics is basically a pattern of thinking that says things are left out of the economy or we don't get the opportunity to buy clean air. We don't get the opportunity to buy healthy environments and, and we just need to put everything in the market. And when everything's in the market, the market will be perfect. And so environmental economics is about [00:08:30] making the economy evermore inclusive by bringing more and more things into it. Ecological economics is not just an extension of economics. Ecological economics is a real effort to understand ecological systems and economic systems and try to understand where they may come into clash ecologies, basic premises, everything's connected to everything else. Speaker 5:        And a basic premise of at least mainstream economics is that things can be divided [00:09:00] up and made into property and exchanged the one hand. The economic worldview is everything's divisible and ecological worldview. Everything is connected and that's a fundamental tension and human understanding of systems. And so at least to me is that tension that signifies sort of our ultimate limits of how we understand systems that's embedded in ecological economics. So how do you reveal that tension and then try [00:09:30] to have an impact on policy that would affect that tension. In Our world today is not set up that way. Our world today is set up that science brings answers and a better informed society can make better choices. But we also have sort of the idea that that we can have scientists inside of government that can say this is how things are, and then democracy is just about choosing between options. Speaker 5:        [00:10:00] If you really see that fundamental tension all the way down and then science can't give answers and science can say, well look at the world as a divisible world. I see this. If I look at the world, isn't there connected world? I see this and it's up to all of us to then sort of get involved in the judgment process and the way policy is set up now it's very much in the context of a legislature that has certain roles and then the agencies that have certain roles and courts [00:10:30] that have certain roles and then policymakers are sort of in this process trying to set up options and pathways that if you follow ecological economics to its logical limits, we all need to be involved in this. And so I push ecological economics to discourse of democracy that we really need to think of democracy as a shared learning system, not as a vote counting system. Speaker 5:        It's a process by which we all come to [00:11:00] better understanding and make compromises and that's very different than the way we think of policy and democracy and and science. Now the long step to their, and by no mea
Touch Me

Touch Me

2013-12-1330:00

Touch Me was the first BSR “live event”, moderated by Dr. Kiki Sanford UC Davis in collaboration with the Bay Area Science Festival. Guests were Lydia Thé, UC Berkeley. Benajmin Tee, Stanford. Daniel Cordaro UC Berkeley.TranscriptSpeaker 1:        Spectrum's next Speaker 2:        [inaudible] [inaudible]. Speaker 3:        [inaudible].Speaker 1:        Welcome to spectrum the science and technology show on k a l x [00:00:30] Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news. Speaker 4:        Good afternoon. I'm Rick Kaneski, the host of today's show. We have a different kind of program today. This past October, the Berkeley Science Review hosted the live event. Touch me as part of the bay area science festival. We've previously featured both the BSR and [00:01:00] the bay area science fest here. Visit tiny url.com/calyx spectrum to hear these past interviews at the event, Dr Kiki Sanford from this week in science interviewed three bay area scientists about the ways animals and robots navigate the tactile world. Lydia Tay from the Battista lab here at Tao discusses the molecular basis of touch in a star nosed mole. Benjamin t from Stanford talks about [00:01:30] touch sensation for robotics and prosthetics and Daniel Codero from UC Berkeley's Keltner lab reviews, how we communicate emotion through touch. Here's the active scientist, Georgia and sac from the BSR to introduce Dr Kiki Speaker 5:        [inaudible].Speaker 6:        Hello and welcome to touch me. We are the Berkeley Science Review, say graduate student run [00:02:00] magazine and blog, and we have the mission of presenting science to the public in an exciting and accessible way. So without further ado, I would like to introduce our late show hosts, the amazing Dr Kiki Kiersten Sanford Speaker 5:        [inaudible].Speaker 6:        I would like to introduce our first guest for the evening. Her name is Lydia Tay and she is a graduate student in Diane about does lab. [00:02:30] She studies the interaction between skin cells and the sensory neurons that are involved in crow chronic itch. So let's talk about some of the basics of touch and how, how it works. Yeah, so all of these, the different sensations we have are mediated by neurons. So these are nerve cells. In the case of [inaudible] sensation or the sensation of touch. Speaker 1:        These Speaker 6:        neurons, the cell bodies are right outside of our spinal, but then they send Speaker 7:        [00:03:00] these long projections out to our skin and also inside in the viscera. And so these incredibly long projections at the tips in our skin have molecular receptors that are responsive to different types of stimulus. And we have lots of different types of touch stimulants, so you have light touch and painful touch. So light touch, like when a feather brushes against your arm, painful touch. When a book falls on your foot, there's also itch and there's also hot and cold. All these different [00:03:30] sensations. And we, it's actually a very complicated system. We actually have lots of different types of neurons that are tuned to respond to these different modalities of touch. And that's actually one of the things that makes it really tricky. So it's not just that there's one kind of neuron, there are lots of kinds and they're all over there. Their projections are all over the body dispersed. Speaker 7:        So say in a square inch of the skin on my hand for example, I'm going to have every kind of touch receptor there. Yeah. So you'll have, you know, you'll [00:04:00] have the, if you have, I guess depending on the part of your body you'll have hairs, right? There are neurons that we'll innovate those hairs and then you'll also have those that [inaudible] respond to pain and to cold and hot. And there the innovation, the density depends on the part of your body, so the back is the least intubated spots your if they're, you have like two points of stimulus next to each other on your back. It will be harder to distinguish than it would be say on your fingers. Your fingers are incredibly well tuned. That's [00:04:30] how come people can read Braille. We're very sensitive to texture on our fingertips. Yeah. I've also heard that like that the lips and the face are one of the more represented areas of our Sameta stance. Speaker 7:        Matt? A sensory cortex. Yeah, so in this amass sensory cortex, people draw these things called the homonculus where you have [inaudible] the shape of your body is representative of the innervation of these neuron fibers and your lips are gigantic [00:05:00] and your hands are gigantic and then your back is tiny [inaudible] for instance. It's really a funky thing to look at, but that's kind of how our some ass sensation is. That's that's how we feel. The world is mostly through our fingertips on our lips. I guess we find out a little bit about what you do in your laboratory and I know there is an animal that you work with that is just fascinating. So there's a long history in biology of using extreme systems or organisms [00:05:30] to study the question you're interested in. And so since the question we're interested in it is touch, we use an organism that is really good at touch and that's called the star nose mole and it's this really cute mole that lives in Pennsylvania and it has this Oregon. Speaker 7:        It is really cute. I think it's just funny to think of it just living in Pennsylvania and winters in Pennsylvania and it lives in these underground tunnels where there's a lot of light. The main way that it farges for food [00:06:00] is using this incredibly sensitive touch. Oregon called the star and it's, it's the star that's located kind of in the middle of its face and it has a bunch of appendages. Each of the appendages has these tiny bumps. Well I remember his Oregon's that are highly innervated with some mass sensory neurons that enables it to do incredible texture discrimination. So tell me a little bit more about the competitive aspect of the star nosed mole. Yeah. So there are these tunnels underground. The star nose mill is not [00:06:30] the only mole that lives there. There are lots of organisms that are using these underground tunnels and they're all competing for the same food. Speaker 7:        The little worms I guess. And the fact that the star news mole can identify a worm that quicker and maybe those that are a little bit more difficult to discriminate means that there'll be able to take advantage of food that other moles might overlook. Right. Are they using a, came out of sensation also? Is there or is it only touching the worm that makes the difference? Yeah, so actually [00:07:00] they start by touch. They, they're, they can move their, uh, the appendages on their nose. So they moved there yet it's [inaudible] that's right. And then they touch it and then they actually move the food closer to the mouth. They taste it until like, I know, like do a secondary test to make sure it's actually food and then they eat it. But it's an incredibly quick process. It's amazing. We actually, when, when you look at video, you have to watch it in slow mo to actually see all of that happen. Speaker 7:        [00:07:30] You can't see it with the naked eyes. How do you study this in the laboratory? How do you actually investigate that touch and then uh, how they find the food. So there's the behavioral aspect, but there's also the molecular aspect. How are you studying this? Yeah, so that's the aspect that we, I spend most of our efforts on. The great thing about the mole is that it has this incredibly innovated touch Oregon. And so we can look at what molecules are expressed there and if they're using a similar system as [00:08:00] other mammals, we'd expect that. The only difference is that the proteins are involved in touch. Art's simply upregulated. And so we can see what are the highly expressing proteins in these sensory neurons in the mall. They're easier to identify because the mole is like super touch sensitive and then we can take those molecules and test, are they actually important in another organism that is a little bit easier to work with. Speaker 8:        [inaudible].Speaker 9:        [00:08:30] You are listening to spectrum on k a l x Berkeley. This week we have recordings from the Berkeley science reviews. Touch me. Dr Kiki Sanford just talked with Lydia about Tetra reception in the Star News tomorrow. Now she'll discuss [00:09:00] the touch sensation for robots with Stanford's Benjamin T. Speaker 6:        I would like to introduce our next guest, Benjamin [inaudible] t who's recently completing his phd in the lab of Gen and bow and he has a master's degree in electrical engineering. He enjoys hiking, artistic Mumbo jumbo, randomly cliche poems amongst other things. Speaker 10:      He likes building things and his motto [00:09:30] is make awesome. If we could all give him a warm welcome. Speaker 5:        [inaudible]Speaker 10:      how did you get into engineering? Uh, it's a difficult question, but I remember it was a pretty naughty kid. I was, yeah. So I used to make a lot of things that was gone. Really big. Spanking for that. Yeah. And, and that got me wondering, well, since I love [00:10:00] to break things, we, I should then how to make things work. And that kind of perhaps subconsciously led me to, to Korea in engineering and science. Awesome. To make things work. Speaker 6:        To make things work as opposed to do you still break things to see how they work, how they work? Yeah, I can fix them back now because I have the engineering training. So. So tell me a bit about what you need to be thinking about in creating a material that can act [00:10:30] as a synthetic skin. What kind of factors are you trying to work with and incorporate into that material? Right. It's a great question. So everybody knows the
Bob Bea, Part 2 of 2

Bob Bea, Part 2 of 2

2013-11-2930:00

Dr. Bea worked with the US Army Corps of Engineers, and Royal Dutch Shell around the world. His research and teaching have focused on risk assessment and management of engineered systems. He is co-founder of Center for Catastrophic Risk Management at UCB.TranscriptSpeaker 1:        Spectrum's next. Speaker 2:        Mm [inaudible]. Speaker 1:        [00:00:30] Welcome to spectrum the science and technology show on k a l x Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news. Speaker 3:        Good afternoon and welcome to spectrum. My name is Chase Jakubowski and I'll be the host of today's show. Today we present part two of our two interviews with Robert B professor emeritus of civil and environmental engineering at UC Berkeley. [00:01:00] Dr B served as an engineer for the U S Army Corps of Engineers, Shell oil, shell development and Royal Dutch Shell. His work has taken them to more than 60 locations around the world. Has Engineering work, has focused on marine environments, is research and teaching, have focused on risk assessment and management of engineered systems. He is cofounder of the Center for catastrophic risk management at UC Berkeley in part two. Brett swift asks professor B about the California Delta balancing development and environmental conservation and shoreline retreat. [00:01:30] Is civil engineering misunderstood Speaker 4:        or do people simply have a love hate relationship with the built environment? I think a mixture of civil engineering has been changing, so people's preconceived views in many cases are out of date and it's also low of, hey, when the built in art man bite you, it hurts and [00:02:00] hurt, encourages. Hey, there is a big reliance on it though at the same time as well. Yes. Airports, bridges, tunnels, water supply system, sewage supply, large ill NGS. That's our game. We're out of Egypt and Rome. That's where we got our start. And now the new term is infrastructure. Yes. To sort of put all that together into one idea. Yes. [00:02:30] Are there landscapes scale projects out there that people should be aware of and cognizant of? Yeah, that are underway or have recently completed? Yes. One we've been watching carefully is location than the other lunch and it's what's called the water works and the reason we zoom in closely is it's an excellent laboratory test bed for a comparable [00:03:00] problem we face here in California with aren't California Delta infrastructure systems. Speaker 4:        Now the Lens, much more comeback, but it deals with an unforgiving test that's the North Sea. And so they've been learning actually over a period of 3000 years. How would it work in a constructive collaborative way with water? We face the same problem here at home. [00:03:30] Often the attention associated with civil engineering projects is due to the tension between environmental degradation and economic gain. Is it possible to have balance when you're doing something on this kind of scale? Answer is yes and it's a term bounce. Nature itself can be extremely destructive to itself. Watch an intense [00:04:00] storm attack, a sensitive reef area in the ocean. The tension and it can be constructive if it's properly managed, is we need to develop these systems, some of which need to make money and at the same time we need to ensure that what is being achieved there is not being degraded, destroyed by unintended consequences [00:04:30] to the environment. Speaker 4:        One of the very good things that happened to civil engineering here at Berkeley is we changed our name. We're known as civil and environmental and that's to bring explicit this tension between built works, the natural works, and for God's sakes, remember we have a planet that we've got to live on for a long time. As engineers, we are still [00:05:00] learning how to deal with that tension and particularly when something's on a really large scale, best of intentions going forward, body of knowledge at the time you do the project, how do you know what the environmental impacts are going to be? Those unintended impacts reveal themselves. How do you walk these things back? How do you backtrack from having installed something on a landscape level? That clunky question. [00:05:30] That's one of the reasons for my fascination with the Netherlands, but the way I've worked there for a year, complements of previous employer [inaudible] is Royal Dutch Shell, so I was there learning all the dodge had confronted flooding from the North Sea and essentially the approach was built a big dam wall between you and at [00:06:00] water, you're on the dry site and it's on wet side. They promptly learned that was not good. The in fact heavily polluted areas that they were attempting to occupy and suddenly a new thing started to show in their thinking called give water room so that today they have actually sacrificed areas back to the open ocean [00:06:30] to get water. The room needs to do what it needs today and in the end the entire system has been improved. We've been trying to take some of those hard won lessons back to our California Delta Speaker 5:        [inaudible].Speaker 6:        You were [00:07:00] listening to spectrum on k a l x Berkeley. Brad swift is interviewing Bob Bobby, a civil and environmental engineer at UC Berkeley. In the next segment they talk about the California Delta Speaker 5:        [inaudible].Speaker 7:        We've talked about the delta a bit. Do you want to expand on the challenges of the Delta and [00:07:30] the downside? Speaker 4:        Well, I'll start with the downside. One of the things I used to say in class when I was still teaching here is terror is a fine instructor. Okay. So the downside would be if we had what we call the ultimate catastrophe and it's foreseeable and in fact predictable [00:08:00] in our delta, we would be without an extremely important infrastructure system. For a period of more than five years. That includes fresh supply for small cities like Los Angeles and San Diego and small enterprises like the Central Valley Agricultural Enterprise. So the picture makes Katrina New Orleans look like a place [00:08:30] story. This is big time serious. You'd say hooky bomb. That's a pretty dismal picture. Why? And the answer is back to this risk crepe. The delta infrastructure systems started back in the gold rush days and we want to add some agricultural plans that we built, piles of dirt that I've called disrespectfully [inaudible]. And then we put in transportation [00:09:00] roadways, power supply, electrical power, and then we come up with a bright idea of transporting water from the north side of the delta to the South side of the Gel so we can export orders. Speaker 4:        Southern California. Those people need water too. Well, it's all defend it by those same piles or hurt built back in the 1850s it's got art, gas storage under some of those islands and our telecommunications goes through there. [00:09:30] Our railroads go through air, so if you lose critical parts, those piles there, you got big problems. We can foresee it, we can in fact analyze, predict it. We've in fact quantified the risk. They are clearly unacceptable. We've talked to the people who have political insight and power. They are interested to the point of understanding [00:10:00] it and then they turn and ask, well, how do you solve the problem? Well, at this point we say we don't know yet, but we do know it's gonna take a long time to solve perhaps much like the Netherlands, 50 a hundred years. And you can see a Lee blank because there's a two to four year time window. What's this? 50 to a hundred years. Oh, can you tell me about tomorrow's problem? And tomorrow solutions [00:10:30] answer, no, this one's not that. So we've run into her stone wall. Speaker 7:        So does it then become something that gets tacked on to all the other things that they want to do with the water? Because there's always a new peripheral canal being proposed. Right? Right. And the north south issue on water's not going away. So for some 50 years solution to happen in California politics, you'd have to have a pretty serious [00:11:00] consensus north and south to the shared interests there. Correct. And there's no dialogue about that really? No. Within the state, no. How about within the civil engineering community? Within the state? No. So everyone wants to ignore the obvious threat to the, so the California economy because basically you're talking about have you applied a cost to the a catastrophic event of the Delta failing? Speaker 4:        Oh yeah, we thought that. Or Action Katrina, who Orleans [00:11:30] ultimately has caused the United States in excess of a hundred bill young as ours. Paul that by five or 10 because just the time extent. The population influence though we're talking about hundreds of billions, trillions of dollars. So the economic consequences of doing nothing or horrible and then you'd say, [00:12:00] well, is it possible to fix it? Answer is yes. Well, do you know exactly how? No, we don't. That's going to take time to work through. It also takes key word. You mentioned collaboration. Different interests are involved and we need to learn how to constructively and knowledgeably liberate the signings to say, here's a solution that makes sense to the environmental conscience [00:12:30] in the environment. Here's a sense or a solution makes sense to the social commercial, industrial complex. Hey, we might have a solution here. Let's start experimenting it. We don't have the basis for that lot and consequently it slips back into our busy backgrounds. Much like the San Pedro LPG tanks that are still sitting air. It's in the background and the clock is ticking Speaker 7:        and the Dutch model [00:13:00] doesn't help them see how it could evolve. Speaker 4:        It doesn't seem to, they sor
Bob Bea, Part 1 of 2

Bob Bea, Part 1 of 2

2013-11-1530:00

Dr. Bea worked with the US Army Corps of Engineers, and Royal Dutch Shell around the world. His research and teaching have focused on risk assessment and management of engineered systems. He is co-founder of Center for Catastrophic Risk Management at UCB.TranscriptSpeaker 1:        Spectrum's next Speaker 2:        [inaudible].Speaker 1:        Welcome to spectrum the science and technology show on k a l x Berkeley, a biweekly 30 minute program bringing you interviews featuring bay [00:00:30] area scientists and technologists as well as a calendar of local events and news. Speaker 3:        Hey there and good afternoon. My name is Renee Rao and I'll be hosting today's show. Today. We present part one of two interviews with Robert B. Professor emeritus of civil and environmental engineering at UC Berkeley. Dr B served as an engineer with the U S Army Corps of Engineers, Shell oil, shell development, and Royal Dutch Shell. His work has taken him to more than 60 locations around the [00:01:00] world. His engineering work has focused on marine environments. While his research and teaching have focused on risk assessment and management of engineered systems, he's a cofounder of the center for catastrophic risk management at UC Berkeley. In part one, safety and risk management are discussed. Speaker 1:        Bobby, welcome to spectrum. Thank you. Pleasure. You're part of the center for catastrophic risk management. How did that get started and what's the mission? What's the goal? Well, [00:01:30] it started on an airplane coming to California from New Orleans, Louisiana. In November, 2005 on the plate with me was professor Raymond c department, Civil Environmental Engineer. In the early days after Katrina, New Orleans flooding, there were still dragging bodies out, e Eric [00:02:00] and coming, our thinking was, well, why couldn't we help found a group here at Berkeley that would bring together interdisciplinary professionals both in the academic, in Ironman and outside to address catastrophic potential failures, disasters in two frameworks, one after they happen and two before they happen, after [00:02:30] the intent is not blame, shame or hurt, but rather to learn deeply how they happen so that then you can bring it back to prevention mitigation. So we got off the plane, I met with our Dean, Dean Sastry and said, could you tell us how to become a senator here at Berkeley?Speaker 1:        I'll never forget it. He got up from his test, walked around to the other side, touch me on the left and right shoulders and said, your center. [00:03:00] That telephone center happened and today the center continues to exist under the leadership of Professor Carlene Roberts and continuing to address a wide variety of accidents that have happened. And once we are working to help not happen. Thank you. Berkeley and the funding is, there is an interesting question. Initially [00:03:30] we thought, well we'll turn to the university for funding. That was not as easy as some of us thought because university was already seriously stretched for funding, just funding itself. So at that point we turned two directions. First Direction principally because of my background was to industry and said, hey and a strength, would you fund research here [00:04:00] and return for your research funding. We'll give you great students with great research backgrounds and research results. Speaker 1:        They became excellent funders. We turned to government homeland security for example, or the National Science Foundation. Similar responses. So the funding has come from both industry, commerce and government. Essentially all we had to ask university four [00:04:30] and it's been a precious resource to even ask for it. It has been space and support staff. Are there any of the centers projects that you'd want to talk about? There's I think two. One was a center for catastrophic risk management project at its inception sent bro, PG and e a disaster certainly to the people that were close to land one 32 [00:05:00] that exploded. We followed that disaster from the day it started and carried it all the way through the federal investigations at state investigations and drew from that very, very important lessons, preventative lessons. The other project that has been playing out sort of in sequence with it is in San Pedro, California, the San Pedro, low pressure gas [00:05:30] storage facilities. Speaker 1:        It's in a neighborhood and you can see these large gas storage tanks. You can see roads nearby. You can see Walmart in shopping centers and schools and hospitals and homes and you'd say this sounds pretty dangerous. Founded back in the 1950s period. It's pretty old, kind of like Bobby in pre oh and worn out and [00:06:00] it's severed w we call risk creep, which means when they built the tanks and the facilities there, there weren't any people, there was a port to import the gas so forth. But suddenly we've got now densely packed, I'm going to call it political social community infrastructure system, which if you blow out those tanks, we've got big trouble. Houston, well we took on San Pedro in an attempt to help the homeowners that people [00:06:30] actually live there draw or call appropriate attention to the hazard so that they could get appropriate evaluation. Speaker 1:        Mid Asian, we haven't been very successful. I think many people say, well, hasn't blown up. It's not gonna blow up. Other people who say, I think I smelled gas and an explosion is not far behind. And then you turn to the state regulation system and say, [00:07:00] well, who's responsible? Answer everybody. Nobody. And at that point it sinks back into the everyday activity of that community and our society. So one horrible experience. We learned a lot of lessons and I'm watching PG and e n r California Public Utilities Commission go through the learning experiences and they're obviously painful. But on the preventative side, art record is looking [00:07:30] pretty dismal. Yeah, that's tough. That's similar to the Chevron fire that was in Richmond and cause you're right, these things get built when they're far away and then developers build right up to them. Same with airports and all sorts of faculty. Speaker 1:        Chevron refinery is what our latest investigation and it's got a story behind it because one of the stalwart sponsors at work that's been done by the center for catastrophic [00:08:00] risk management has been Chevron. In fact, they were a member of um, 10 years study that we conducted here concerning how organizations manage very high risk systems successfully. Chevron was one of the successful organizations. So when we saw Richmond go poof, boon, we said something's changed. [00:08:30] They had a sterling record for their operations here. What happened? Well, the story comes that this business of risk assessment management of these complex systems is one damn thing after another. And if you get your attention diverted like, oh, we need to make more money, you start diverting precious human resources working to achieve, say that he them [00:09:00] safety starts to degrade and at that point roasty Pintful only stay rusty so long at that point, poof, boom. Speaker 3:        You're listening to spectrum on k a Alex Berkeley. Brad swift is interviewing Bob, be a civil and environmental engineer at UC Berkeley. In the next segment they talk about collaboration. Speaker 4:        [00:09:30] Talk about some of the people you've collaborated with and the benefits that flow from Speaker 1:        that kind of work. That's been one of the real blessings of my life has been collaboration. One of the things that dealing with complex problems and systems and most afraid of is myself. I'm afraid of myself because I know I'll think about something [00:10:00] in a single boy and I'll think about it from the knowledge I have and then all develop a solution or insight to how something happens. Given that set of intellectual tools and so learned to be afraid of myself and I get very comfortable is when I have people who don't think like me, who will in fact listen to me and then respectfully when I finished they say, [00:10:30] Oh, you're wrong. Here's why. And then of course out rock back and I say, okay, he explains more or less, let's get there. And what I have found in evitable Lee is I end up at a different point than where I started, which tells me the power of collaboration can be extremely strong as long as collaboration is knowledgeable and respectful. If it gets to be ignorance at work and it's disrespectful, you can expect Bob [00:11:00] to become pretty nasty. [inaudible]. Speaker 4:        In reflection on your activities in civil engineering and in academia, does civil engineering need to change in some way or is there a subtle change happening that you recognize? Speaker 1:        I think there's subtle change having and proud. I think I see it starting to sprout here at Berkeley. The change that's happening is that you struck on with your earlier question concerning collaboration. [00:11:30] So it turns out to be the power of civil engineering collaboration. We've actually got people in engineering working with people in political science, public health business. That is an extremely encouraging sign. As long as we can keep that collaboration going in the right directions. If you do that, do it well. Then this symphony of disasters and accidents, we'll hear that [00:12:00] music go down a lot. You sort of made famous, the civil engineering course one 80 and you're not teaching that anymore, right? That's correct. Did you pass it on to someone you know and give them the blessing? I tried to, yeah. C e one e engineering systems is what it was called, I think was teachable for me because of the experiences. Speaker 1:        [00:12:30] I came here after 35 years, 36 years of industry work, and I've been working as laborers since I was 14 went to work as a roof
Frost & Fenley

Frost & Fenley

2013-11-0130:00

Chuck Frost, and Erin Fenley of the UCB Energy Office talk about their efforts to drive down electricity use on the Berkeley campus. This program will shift the onus for electricity use on each of the 28 Operating Units on Campus. Mypower.berkeley.eduTranscriptSpeaker 1:        Spectrum's next. Speaker 2:        Okay. Speaker 3:        [inaudible].Speaker 1:        Welcome to spectrum the science and technology show on k a l x Berkeley, [00:00:30] a biweekly 30 minute program, bringing you interviews, featuring bay area scientists and technologists as well as a calendar of local events and news. Speaker 4:        Hello and good afternoon. My name is Renee Rao and I'll be hosting today's show. Did you know UC Berkeley has an energy office and an energy incentive program? Our guest on spectrum this week are Chuck Frost, the first ever energy manager of the UC Berkeley campus and Aaron family, the energy office communication specialist. [00:01:00] They talked with Brad swift about the programs the energy office has launched to drive down electricity use on the Berkeley campus. Here's the interview, Speaker 1:        Chuck Frost and Aaron Fenley. Welcome to spectrum. Thanks for having us. Yeah, thank you. You work at the University of California Berkeley Energy Office. How did that come into being? Speaker 5:        Well, the university hired a consultant to look at ways to save money on the campus. One of the things they came up with was to reestablish the energy [00:01:30] office. Speaker 1:        Yeah. And that was about three or four years ago when bane consulting came in to check out what areas we could save money, um, on campus. And that was everything from payroll to energy management. So we dove in from there and it's part of operational excellence program. Actually through the energy management initiative we have created the energy office. We have also created an extensive outreach program which has its own goals and energy incentive program, which [00:02:00] has financial goals and then an energy policy which provides a framework. Speaker 5:        Might there be, while the energy office actually tracks and monitors and assist the campus in reducing energy and we try to improve the building performance also. Is there anything that's really different the way your energy office is doing it that distinguishes you from other places? I think it's the number of dashboards we're using. We've got [00:02:30] almost a hundred installed on the smart meters and then also the incentive program or you could put the bill out into the campus. So the 28 operating units, if they beat their baseline or you will give them money. And this year we're giving them about $170,000 back to the campus, but it can go the other way starting next year and they could owe us two so it can go either way. It's a carrot in a stick. But out of the 28 opportunities this year, 20 received [00:03:00] money and two what Ellis and our goal is really to have no one, no HOAs and put the money back into the campus. Speaker 6:        And how is it that you tie into the dashboard? Would the data, where do you collect the data? How do you tie it in? Speaker 5:        Each building has a meter that monitors the incoming power to the building and that goes to an obvious is the name of the system. And then the pulse energy pulls off the obvious server to populate the dashboards [00:03:30] and kind of throws the bells and whistles on it. Speaker 6:        Now are you able to use the data to reflect on the buildings efficiency its system? Speaker 5:        It's actually can be used as a tool to identify when you have problems in the building. It's a, it'll throw up a flag. If you're doing too much energy after it learns you're building, it really knows how you'll drop. However, on a certain day and the weather and things like that, that's the model that is actually forms. It takes a few months to learn the building and actually it really a full seat, you know, a year. [00:04:00] And then once it identifies and learns and models who are building, then you can actually have threshold or limits that will flag your attention. If you have drawing too much or not enough, it can go either way. But that's a good indication. It's a lot better to have sub-metering in a building, but it's, it's very powerful just to have, you know, a smart meter in a building. And is there a move afoot to go to this sub-metering? Absolutely unfortunate. It just comes with a price and so it's very expensive. [00:04:30] But with the technology changing and wireless and things like that are being used a little bit more and I think it's coming down. So probably doable in the future. If you look at all the utilities on campus, we average between 30 and 35 million. That's for water, steam, gas and electricity. Speaker 1:        And the electricity itself is about 17 yeah, Speaker 5:        that's what he paid last year. Speaker 6:        And so year to year as units start to save, you're able to give what back to them Speaker 5:        when the, [00:05:00] the main meter at the campus drops down. That that's how we really determine and then we break it down into buildings, how much each of the buildings. But we actually look at the main meter also and then we are showing for the first time in a number of years where we actually did reduce and that an average of 2% creep was what we saw since the 90s Speaker 1:        so so we can really avoid that creep by keeping the engineers in buildings. They've been divided into zones to work [00:05:30] in specific areas on the campus in order to understand the buildings, know what's going on there, work with the building managers in order to keep them tuned up so that the creep doesn't happen. Speaker 6:        And that's the front line? Yes, it's the building engineers and building managers. Speaker 1:        Well through the energy office there are stationary engineers, electrical engineers that are working in the zones with building managers in order to make that work happen. Speaker 5:        So even though the skilled trades, Speaker 1:        our goal goals a little bit different [00:06:00] than a traditional stationary engineer example where we're looking at kilowatts and BTUs, we want to help in any way we can and improve the building. But our focus is really energy. So we work with the shops but we have a different spin on it. So this past year a lot of the work that was very significant in reducing energy use was through variable fan drives. Yeah. Speaker 5:        Both frequency drive. So anytime you can vary the flow on a large motor, whether it's pumping water pumping here you can [00:06:30] actually, once you reduce that substantial savings. So we saw a lot of opportunities and repairing dries, putting in new drives and things like that. Speaker 1:        You kind of have more of a consultant role Speaker 5:        in a sense. We like to say we're looking and um, some people will call it low hanging fruit. They don't cost a lot of money to invest in, but it could be scheduled changes. You could be heating and cooling at the same time. There's a lot, actually a lot of savings in those two areas and really don't have to spend a lot. You [00:07:00] just have to identify what I'm an example in this building we're in right now, it was a while ago, they actually had a painting project, so they wanted the fans to run 24 seven and it was one of the professors at notice will look at the dashboard and how come the energy use went up and it didn't go back down. So by him asking that question, we investigated and we found out that they had put all the fans in hand. There was no schedule to shut down at night so that that was about a $45,000 [00:07:30] avoidance would have been allowed to run the rest of the year. So those kinds of things, that's what the dashboard really helps a lot of people a lot of highest looking. So you can see what's going on and start asking the questions, why do I have this little blip of power? Why does it jump up like this? And the energy officer will go out and investigate it and sometimes it's just interviewing people. Sometimes it's walking through mechanical rooms and every building has a story. So you have to kind of dig into it. Speaker 7:        [inaudible] mm, Speaker 4:        [00:08:00] you're all sitting just spectrum on k a Alex Berkley. Our guests today are chuck frost and Aaron finally from the UC Berkeley Energy Office. In the next segment they talk about changing behavior to save energy Speaker 1:        and what sort of outreach programs are you operating to try to just drum up support and awareness. We do have a energy management resource center right here in Barrows Hall Room One 92 [00:08:30] and people can stop by and pick up posters and flyers and light switch stickers can get information about saving energy, specifically in labs, residence halls and office spaces. You can also come there or email us@mypoweratberkeley.edu and set up a time to have our student team and we have an amazing student team who conduct surveys in offices, labs. We come in and take a nice observational survey [00:09:00] of what's going on in the spaces, um, leave stickers and materials to help that area find out more about what they can do. People here on campus are already doing so much to save energy, but there hasn't been a single place that we've gone to that we haven't found a few recommendations, uh, to give. So we provide personalized recommendations to that area. Then we post those on our website so they can be downloaded by the whole office or whole lab. And Speaker 5:        would someone get involved if they're interested in becoming part of [00:09:30] the student team? Speaker 1:        We just hired our student team for the semester, so all of our positions are filled currently. However you can stay in touch with us through our website and through Facebook where I post different internships that are available a
TranscriptSpeaker 1:        Spectrum's. Next. Speaker 2:        N. N. N. N. Speaker 3:        [inaudible].Speaker 1:        Welcome to spectrum the science and technology show on k a l x, [00:00:30] Berkeley, a biweekly 30 minute program, bringing you interviews, featuring bay area scientists and technologists as well as a calendar of local events and news. Speaker 4:        Good afternoon. I'm Rick Karnofsky. Brad swift and I are the hosts of today's show. Today we're talking with doctors, Tonya Wilkie and Chris Rink of the Department of Energy Joint Genome Institute in Walnut Creek. They recently published an article entitled insights into the Phylogeny and coding potential [00:01:00] of microbial dark matter in which they have to characterized through relationships between 201 different genomes and identified some unique genomic features. Tonya and Chris, welcome to spectrum. Speaker 5:        Thanks for having us. Thank you. Speaker 4:        So Tanya, what is microbial dark matter? Speaker 5:        We like to take life as we know it and put it in an evolutionary tree in a tree of life. And what this assists us is to figure out the evolutionary histories of organisms and the relationships between [00:01:30] related groups of organisms. So what does this mean? It's to say we take microbial diversity as we know it on this planet and we place it in this tree of life. What you will find is that there will be some major branches in this tree, about 30 of them, and we call these major branches Fila that are made up of organisms that you can cultivate. So we can grow them on plates in the laboratory, we can grow them in Allen Meyer, flask and liquid media. We can study that for CLG. We can figure out what substrates they metabolize, [00:02:00] we can figure out how they behave under different conditions. Speaker 5:        Many of them we can even genetically modify. So we really know a lot about these organisms and we can really figure out, you know, how do they function, what are the genetic underpinnings that make them function the way they do in the laboratory and also in the environment where they come from. So now coming back to this tree of life, if you keep looking at this tree of life, uh, we will find at least another 30 off these major branches that we refer to as [00:02:30] Canada. Dot. Sila and these branches have no cultivators, representatives, so all the organisms that make up these branches, we have not yet been able to cultivate in the laboratory. We call these kind of dot, Fila or microbial dark matter. And the term dark matter. All biological dark matter has been coined by the Steve Craig Laboratory at Stanford University when they published the first genomes after a candidate, phylum TM seven. We know that dark matter is in most if not all [00:03:00] ecosystems. So we find it in most ecosystems, but to get at their complete genetic makeup. That's the key challenge. Speaker 4:        Yeah. And if you, if you want to push it through the extreme, there are studies out there estimating the number of bacteria species they are and how many we can cultivate. And the result is all there. The estimation of the studies we can cultivate about, you know, one or 2% of all the microbial species out there. So basically nine to 9% is still out there and we haven't even looked at it. So this really, this major on culture microbes and majority is [00:03:30] still waiting out there to be explored. So that sort of carries on the analogy to cosmological dark matter in which there's much more of it than what we actually see and understand. Right. Speaker 5:        So how common and how prevalent are, are these dark matter organisms? Yeah, that's a really good question. So in some environments they are what we would consider the rabbi biosphere. So they are actually at fairly low abundance, but our methods are sensitive enough to still pick them up. [00:04:00] In other environments. We had some sediment samples where some of these candidate file, our, actually what we would consider quite abandoned, it's a few percent, let's say 2% of opiate candidate phylum that to us, even 2% is quite abandoned. Again, you have to consider the whole community. And if one member is a 2%, that's, that's a pretty dominant community members. So I'd arise from environment, environment Speaker 4:        and Chris, where were samples collected from? So altogether we sampled nine sampling sites all over the globe [00:04:30] and we tried to be as inclusive as possible. So we had marine samples, freshwater samples, sediment samples, um, some samples from habitats with very high temperatures and also a sample from a bioreactor. And there were a few samples among them that for which we had really great hopes. And among them were um, samples from the hot vans from the bottom of Pacific Ocean. The samples we got were from the East Pacific virus sampling side, and that's about 2,500 meters below the store phase. And [00:05:00] the sample there, you really need a submersible that's a small submarine and you can launch from a research vessel. In our case, those samples were taken by Elvin from the woods hole oceanographic institution and now you have a lot of full Canik activity and also the seawater seeps into the earth crust goes pretty deep and gets heated up. Speaker 4:        And when it comes back out as a hydrothermal event, it has up to [inaudible] hundred 50 to 400 degrees Celsius. And it is enriched in chemicals such as a sulfur or iron. [00:05:30] It makes us immediately with the surrounding seawater, which is only about a two degrees Celsius. So it's a very, it's a very challenging environment because you have this gradient from two degrees to like 400 degrees within a few centimeters and you have those chemicals that uh, the organisms, the micro organisms could use blast. There is no sunlight. So we thought that's a very interesting habitat to look for. Microbial, dark matter. There were several samples. That's a to us. One of them is the Homestake [00:06:00] mine in South Dakota and that's an old gold mine that is not used anymore since 2002 but are there still scientific experiments going on there? It's a very deep mine, about 8,000 feet deep and we could all sample from about 300 feet. Speaker 4:        And we were surprised about this Ikea diversity we found in those samples. There were a few Akia that were not close to any, I don't know another key out there for some of them. We even had to propose new archaeal Fila. Stepping back a bit, Chris, [00:06:30] can you tell us more about Ikea and perhaps the three domains of life? The three domains were really established by Culver's with his landmark paper in 1977 and what he proposed was a new group of Derek here. So then he had all together three domains. You had the bacteria and archaea and the eukaryotes, the eukaryote state. There are different one big differences to have the nucleus, right? They have to DNA in the nucleus and it also includes all the higher taxa. But then you have also their key and the bacteria. [00:07:00] And those are two groups that only single cell organisms, but they are very distant related to each other, the cell envelope, all. And also the cell duplication machinery of the archaea is closer to the eukaryotes than it is to the bacteria. Speaker 5:        Yeah, and it's interesting, I mean Ikea, I guess we haven't sequenced some that much yet, but Ikea are very important too, but people are not aware of them. They know about bacteria, but Ikea and maybe because there aren't any RKO pathogen [00:07:30] and we'd like to think about bacteria with regards to human health, it's very important. That's why most of what we sequence are actually pathogens, human pathogens. So we sequence, I don't know how many strains of your senior pastors and other pathogenic bacteria, but archaea are equally important, at least in the environment. But because we rarely find them associated with humans, we don't really think about archaea much. Our people aren't really aware of Ikea. Speaker 4:        Talk about their importance, Speaker 5:        the importance [00:08:00] in the environment. So Ikea are, for example, found in extreme environments. We find them in Hydro Soma environments. We find them in hot springs. Uh, we, they have, they have biotechnological importance and not a lot of, quite useful in enzymes that are being used in biotechnology are derived from Ikea in part because we find them in these extreme environments and hot environments and they have the machinery to deal with this temperature. So they have enzymes that function [00:08:30] properly at high temperature and extreme conditions, really extreme on the commerce extreme or fields. And that makes them very attractive bio technologically because some of these enzymes that we would like to use should be still more tolerant or should have these features that are sort of more extreme. Um, so we can explain it them for a biotech technological applications. [inaudible] Speaker 6:        [inaudible] [00:09:00] you are listening to spectrum on k l x Berkeley. I'm Rick [inaudible] and I'm talking with Kanya vulgate and Chris, her and Kate about using single cell genomics. You're expand our knowledge that the tree of life, Speaker 5:        [00:09:30] so again, we called up a range of different collaborators and they were all willing to go back to these interesting sites, even to the hydrothermal vent and get us fresh sample. No one turned us down. So we, we, we screened them again to make sure they are really of the nature that we would like to have them and the ones that were suitable. We then fed into our single cell workflow. Can you talk briefly about that screening? There were two screens in waft. One screen was narrowing down the samples themselves and we received a lot more sample, I would say at least [00:10:00] three times as many sample as we ended up using. And we pre-screened these on a sort of barcod
Amy Herr

Amy Herr

2013-09-2034:20

Amy Herr's research focuses on bioinstrumentation innovation to improve quantitative measurements in life sciences and translating that work to provide better clinical diagnostics. Amy is Professor of Bioengineering at UC Berkeley.TranscriptSpeaker 1:        Spectrum's next. Speaker 2:        Mm MM. Speaker 3:        Yeah. Speaker 1:        Welcome to spectrum the science and technology show on k a l x [00:00:30] Berkeley, a biweekly 30 minute program bringing you interviews featuring bay area scientists and technologists as well as a calendar of local events and news. Speaker 4:        Good afternoon. My name is Renee Rao and I'll be hosting today's show. Our guest this week is Amy, her associate professor of bioengineering at UC Berkeley. Amy is a teacher and a researcher. Her research focuses on bioinstrumentation innovation to improve quantitative measurements in life sciences [00:01:00] and how to translate that work to provide better clinical diagnoses. She is a pioneer in the new field of proteomics. Brad swift and I interview Amy, her. Speaker 5:        Amy, her. Thanks very much for coming on spectrum and welcome. Thank you. I'm very happy to be here. How did you become interested in bioengineering? So I am actually a trained mechanical engineer and I think what really peaked my interest in bioengineering was during graduate study in mechanical engineering. I realized that a lot of [00:01:30] the measurement and instrument challenges that exist that face engineering today really are in the life sciences. So this messy area where things are not necessarily tractable or well-described protein measurement is an area that I've been interested in for some time and I've been working on. And it's especially challenging from the perspective of designing instrument technology, measurement technology. What are protein biomarkers and what makes them elusive? Yeah. So protein biomarkers really is just sort of a catch [00:02:00] all phrase for indicators of disease state, um, indicators of living, organisms, response to treatment, just sort of indicators of what's going on in the organism at a particular time. Speaker 5:        So there's many different types of biomarkers. You may have heard quite a bit about this genomics revolution and our use and understanding of information that's coming from nucleic acids. And what we're really looking for in Dow is building on what we've learned from our understanding of nucleic acids. How can we try [00:02:30] to understand proteins, which are the effectors of function, if you will, in living organisms and really try to use that information from proteins to understand all of these questions surrounding disease. So who has a disease, who might respond to specific treatments, who might not respond to specific treatments? How you are responding to specific treatments and in our mind it's released the next phase of what genomics has laid the groundwork for an area that we call proteomics. Can you give us a quick run through [00:03:00] of how molecular diagnosis works now and what new things you are trying to detect and what new information we can get from those? Speaker 5:        I guess it has been striking to me as an instrument designer, innovator developer. If you take a look at our understanding of the role of proteins in disease right now, there's a treasure trove I would say, of information that's come out of basic discovery. So trying to understand what proteins are upregulated or downregulated or modified in [00:03:30] response to disease or treatment of disease. Right. So I would say there's definitely more effort that needs to be done in discovery, but we've done a lot of great work in discovery. A huge challenge and unmet need to use the engineering design terminology that exists right now is we have these potential indicators of disease or response to disease or prognosis, but very, very few of them have made it into a clinical setting into a diagnostic. Right now there are less than a hundred [00:04:00] different biomarkers that are being used for diagnostics. Speaker 5:        That includes nucleic acids of DNA, RNA and proteins as well, just metabolites as well, right? So very, very few of the known existing bio molecules are being used in any way as a diagnostic measurement. And so there's really a huge gap right now between all of these promising markers that have been identified and those that are currently being used to make a diagnosis. So one of the things that we're [00:04:30] trying to do is to just build a basic framework for measurements that will allow people to make many, many, many measurements of a particular biomarker of potential interest so that you can look at many, many different patients' samples, many, many different disease states. We won't be really data limited. So the technologies that we use right now for a lot of these protein biomarkers to see whether or not the promising ones actually answer a clinical question, they're really rate limiting. Speaker 5:        [00:05:00] They're really slow or they require a lot of material and in some cases this biospecimens these materials from patients are precious, hugely limited, right there, sparingly available. So we're just trying to think about ways that we can use these microfluidic architectures that require just tiny amounts of sample to run one measurement. How we can use those to scale up to make thousands of measurements. We're right now tens of measurements can be difficult and to make those measurements on, you know, a [00:05:30] microliter of sample from a patient as opposed to tens to hundreds of microliters. So that for us, this so-called biomarker validation question getting from yet this might work too. Okay, here are the clinical questions this marker can or cannot answer as the gap that we're trying to fill. Are you building these instruments? A major focus of my research group is looking at innovating new instrumentation, new technologies. Speaker 5:        So by understanding the underlying physical principles [00:06:00] of the types of transport that we use. So electrophoresis and diffusion and by understanding unmet clinical or life sciences needs. So questions or challenges that currently exist out in life sciences laboratories or in clinical laboratories. We're basically trying to bring those two aspects together to develop new tools. All of the new tools that we develop are developed really to meet an unmet need either in the clinical setting or the life sciences setting and they're built with an understanding these underlying principles, but they all [00:06:30] have to be validated. So when we make a measurement with a new tool, we have to have some confidence in how well our measurement reflects our current understanding of the systems. And we typically do that by using conventional gold standard measurement technologies where appropriate. I think recently we've just come into this really interesting and exciting gray zone where we can make measurements that there really are no existing tools to be able to validate whether our measurement makes sense or not. And so we've had to put some effort and careful thought [00:07:00] into how do we validate our measurements using maybe indirect approaches so that we can say with some confidence the limits and the benefits of the tools that we're introducing. Speaker 4:        You said earlier that a lot of your research comes from trying to meet the unmet needs of both the life sciences and the technological aspects. How do you go about picking which needs to meet? Do you find ones that you think, okay, well this is doable, or do you find ones that you think, maybe no one else can do this? I'm going to work on it? Speaker 5:        Right. [00:07:30] That's a great question. So as an engineer, as an engineering designer, one of the first things that we do is really try to understand the world around us and try to understand how people approach existing problems, how they define those problems, why they approach them in a particular way. But I think this is one of the most exciting aspects of the work that we do. It's certainly true that if you get this first stage, this identification and understanding of unmet needs wrong, you're going to go down the wrong path, but if you get it right, you can make a huge difference in terms [00:08:00] of how people are approaching either science or medicine and our work is really translational in that way. So we're engineers and we're passionate about making excellent measurements and as you say, measurements that are currently not possible are the measurements that we're really looking to impact. Speaker 5:        Measurements that are currently possible but needs significant improvement. We do focus on those as well, but when you can find a measurement that when you're talking to a biologist and explaining kind of what you can do and they look at you and say, oh my gosh, there's no [00:08:30] way I could do that right now, then you know you've hit upon something that's really important to at least consider further to fill a gap and unmet need that's out there at the present time. In many ways, I think it reminds many of us of why we chose to be engineers in the first place. I mean, certainly I can speak for myself and say I'm really excited about being able to make measurements that no one else can make. And understanding how those measurements, how good they are, how much more improvement they need, and maybe trying to understand the physics and think about [00:09:00] is something possible that we've discounted to date. But I think in many ways connecting with the end user also adds another layer of excitement and passion and motivation because you can really see how your work in the lab can make a difference in the world around us. Speaker 6:        Aw. [inaudible] you're listening to spectrum k A. L. Alex Berkeley. Our guest today is Amy her in the next segment, [00:09:30] Amy talks abo
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