The Behavioral Design Podcast

Using AI to Change Human Behavior In this episode of the Behavioral Design Podcast, hosts Aline Holzwarth and Samuel Salzer explore the fascinating intersection of AI and behavioral science with Amy Bucher, Chief Behavior Officer at Lirio. Together, they dive into the challenges and opportunities of integrating AI with behavioral science for health interventions, focusing on the critical need to design AI tools with human behavior in mind. Key topics include the role of reinforcement learning and precision nudging in behavior change, the importance of grounded behavioral insights to cut through AI hype, and Amy’s experiences with personalized health interventions. Amy also sheds light on the effectiveness of digital tools in behavior change and shares her vision for the future of AI in behavioral health. Tune in for an insightful discussion on how behavioral science can shape the next generation of AI-driven health interventions! LINKS: Amy Bucher Lirio Website LinkedIn Profile Further Reading on AI and Behavioral Science: ⁠How Machine Learning and Artificial Intelligence are Used in Digital Behavior Change Interventions: A Scoping Review⁠ The Power of Large Behavior Models in Healthcare Consumer Engagement Moral Agents for Sustainable Transitions Personalized Digital Health Communications to Increase COVID-19 Vaccination in Underserved Populations: A Double Diamond Approach to Behavioral Design The Patient Experience of the Future is Personalized: Using Technology to Scale an N of 1 Approach Digital Twins and the Emerging Science of Self: Implications for Digital Health Experience Design and “Small” Data Feasibility of a Reinforcement Learning–Enabled Digital Health Intervention to Promote Mammograms Precision Nudging and Health Interventions Reinforcement Learning in Behavior Change TIMESTAMPS: 00:30 Behavioral Science and AI: A Crucial Intersection 07:44 Introducing Amy Bucher 10:43 Scoping Review on AI in Behavior Change 16:05 Challenges and Misconceptions in AI 22:07 Reinforcement Learning and AI Agents 28:40 Designing Interventions with AI and Behavioral Science 31:32 Operationalizing Behavior Change Techniques 35:25 Challenges in Measuring Engagement 42:43 The Role of Behavioral Science in AI 46:53 Quickfire Round: To AI or Not to AI 49:25 Controversial Opinions on AI 53:52 Closing Thoughts and Acknowledgements -- Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com or book a call directly on our website: ⁠⁠⁠⁠nuancebehavior.com.⁠⁠⁠⁠ Support the podcast by joining ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more. Every Monday our ⁠⁠⁠⁠⁠⁠⁠⁠Habit Weekly newsletter⁠⁠⁠⁠⁠⁠⁠⁠ shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.  Get in touch via ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠⁠⁠⁠⁠⁠ The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠

Debunkbot and Other Tools Against Misinformation In this follow-up episode of the Behavioral Design Podcast, hosts Aline Holzwarth and Samuel Salzer welcome back Gordon Pennycook, psychology professor at Cornell University, to continue their deep dive into the battle against misinformation. Building on their previous conversation around misinformation’s impact on democratic participation and the role of AI in spreading and combating falsehoods, this episode focuses on actionable strategies and interventions to combat misinformation effectively. Gordon discusses evidence-based approaches, including nudges, accuracy prompts, and psychological inoculation (or prebunking) techniques, that empower individuals to better evaluate the information they encounter. The conversation highlights recent advancements in using AI to debunk conspiracy theories and examines how AI-generated evidence can influence belief systems. They also tackle the role of social media platforms in moderating content, the ethical balance between free speech and misinformation, and practical steps that can make platforms safer without stifling expression. This episode provides valuable insights for anyone interested in understanding how to counter misinformation through behavioral science and AI. LINKS: Gordon Pennycook: ⁠Google Scholar Profile⁠ ⁠Twitter⁠ ⁠Personal Website⁠ ⁠Cornell University Faculty Page⁠ Further Reading on Misinformation: Debunkbot - The AI That Reduces Belief in Conspiracy Theories Interventions Toolbox - Strategies to Combat Misinformation TIMESTAMPS: 01:27 Intro and Early Voting06:45 Welcome back, Gordon!07:52 Strategies to Combat Misinformation11:10 Nudges and Behavioral Interventions14:21 Comparing Intervention Strategies19:08 Psychological Inoculation and Prebunking32:21 Echo Chambers and Online Misinformation34:13 Individual vs. Policy Interventions36:21 If You Owned a Social Media Company37:49 Algorithm Changes and Platform Quality38:42 Community Notes and Fact-Checking39:30 Reddit’s Moderation System42:07 Generative AI and Fact-Checking43:16 AI Debunking Conspiracy Theories45:26 Effectiveness of AI in Changing Beliefs51:32 Potential Misuse of AI55:13 Final Thoughts and Reflections -- Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com or book a call directly on our website: ⁠⁠⁠nuancebehavior.com.⁠⁠⁠ Support the podcast by joining ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more. Every Monday our ⁠⁠⁠⁠⁠⁠⁠Habit Weekly newsletter⁠⁠⁠⁠⁠⁠⁠ shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.  Get in touch via ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠⁠⁠⁠⁠ The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠

The Role of Misinformation and AI in the US Election with Gordon Pennycook In this episode of the Behavioral Design Podcast, hosts Aline and Samuel explore the complex world of misinformation in the context of the U.S. elections with special guest Gordon Pennycook, a psychology professor at Cornell University. The episode covers the effects of misinformation on democratic participation, and how behavioral science sheds light on reasoning errors that drive belief in falsehoods. Gordon shares insights from his groundbreaking research on misinformation, exploring how falsehoods gain traction and the role AI can play in both spreading and mitigating misinformation. The conversation also tackles the evolution of misinformation, including the impact of social media and disinformation campaigns that blur the line between truth and fiction. Tune in to hear why certain falsehoods spread faster than truths, the psychological appeal of conspiracy theories, and how humor can amplify the reach of misinformation in surprising ways. LINKS: Gordon Pennycook: Google Scholar Profile Twitter Personal Website Cornell University Faculty Page Further Reading on Misinformation: Brandolini’s Law and the Spread of Falsehoods Role of AI in Misinformation The Psychology of Conspiracy Theories TIMESTAMPS: 00:00 Introduction 03:14 Behavioral Science and Misinformation 05:28 Introducing Gordon Pennycook 10:02 The Evolution of Misinformation 12:46 AI’s Role in Misinformation 14:51 Impact of Misinformation on Elections 21:43 COVID-19 and Vaccine Misinformation 26:32 Technological Advancements in Misinformation 33:50 Conspiracy Theories 35:39 Misinformation and Social Media 42:35 The Role of Humor in Misinformation 48:08 Quickfire Round: To AI or Not to AI -- Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com or book a call directly on our website: ⁠⁠nuancebehavior.com.⁠⁠ Support the podcast by joining ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more. Every Monday our ⁠⁠⁠⁠⁠⁠Habit Weekly newsletter⁠⁠⁠⁠⁠⁠ shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.  Get in touch via ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠⁠⁠⁠ The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠

In this spine-chilling Halloween special of the Behavioral Design Podcast, co-hosts Aline Holzwarth and Samuel Salzer take listeners on a journey into the eerie intersection of AI and behavioral science. They explore the potential ethical and social consequences of AI, from our urge to anthropomorphize machines to the creeping influence of human biases in AI engineering. The episode kicks off with the hosts sharing their favorite Halloween costumes and family traditions before delving into the broader theme of Frankenstein as an apt metaphor for AI. They discuss the human inclination to attribute human qualities to non-human entities and the ethical implications of creating machines that mirror humanity. The conversation deepens with reflections on biases in AI development, risks of ‘playing God,’ and the tension between technological progress and human oversight. In a thrilling twist, the hosts read a co-authored sci-fi story written with ChatGPT, illustrating the potential dark consequences of unchecked AI advancement. The episode wraps up with Halloween-themed wishes, encouraging listeners to ponder the boundaries between human and machine as they celebrate the holiday. Timestamps: 03:38 – Frankenstein: Revisiting the original story 09:09 – Frankenstein’s Modern AI Metaphor: Parallels to today’s technology 18:06 – Reflections on AI and Anthropomorphism: The urge to humanize machines 36:31 – Exploring Human Biases in AI Development: How biases shape AI 42:06 – Trust in AI: Human vs. algorithmic decision-making 46:45 – The Personalization of AI Systems: Pros and cons of tailored experiences 49:10 – The Ethics of Playing God with AI: Examining the risks 55:56 – Concluding Thoughts and Halloween Wishes: Reflecting on AI’s duality -- Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com or book a call directly on our website: ⁠nuancebehavior.com.⁠ Support the podcast by joining ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more. Every Monday our ⁠⁠⁠⁠⁠Habit Weekly newsletter⁠⁠⁠⁠⁠ shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.  Get in touch via ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠⁠⁠ The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠

In this episode of the Behavioral Design Podcast, we delve into the world of AI recommender systems with special guest Carey Morewedge, a leading expert in behavioral science and AI. The discussion covers the fundamental mechanics behind AI recommendation systems, including content-based filtering, collaborative filtering, and hybrid models. Carey explains how platforms like Netflix, Twitter, and TikTok use implicit data to make predictions about user preferences, and how these systems often prioritize short-term engagement over long-term satisfaction. The episode also touches on ethical concerns, such as the gap between revealed and normative preferences, and the risks of relying too much on algorithms without considering the full context of human behavior. Join co-hosts Aline Holzwarth and Samuel Salzer as they together with Carey explore the delicate balance between human preferences and algorithmic influence. This episode is a must-listen for anyone interested in understanding the complexities of AI-driven recommendations! -- LINKS: Carey Morewedge: Google Scholar Profile Carey Morewedge - LinkedIn Boston University Faculty Page Personal Website Understanding AI Recommender Systems: How Netflix’s Recommendation System Works Implicit Feedback for Recommender Systems (Research Paper) Why People Don’t Trust Algorithms (Harvard Business Review) ⁠Nuance Behavior Website⁠ -- TIMESTAMPS: 00:00 The 'Do But Not Recommend' Game 07:53 The Complexity of Recommender Systems 08:58 Types of Recommender Systems 12:08 Introducing Carey Morewedge 14:13 Understanding Decision Making in AI 17:00 Challenges in AI Recommendations 32:13 Long-Term Impact on User Behavior 33:00 Understanding User Preferences 35:03 Challenges with A/B Testing 40:06 Algorithm Aversion 46:51 Quickfire Round: To AI or Not to AI 52:55 The Future of AI and Human Relationships -- Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com or book a call directly on our website: ⁠nuancebehavior.com.⁠ Support the podcast by joining ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more. Every Monday our ⁠⁠⁠⁠⁠Habit Weekly newsletter⁠⁠⁠⁠⁠ shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.  Get in touch via ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠⁠⁠ The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠

In the latest episode of the Behavioral Design Podcast, we are excited to launch Season 4 with an in-depth exploration of how behavioral science and AI converge, setting the stage for an engaging and thought-provoking season. This episode tackles big questions around AI’s growing influence, offering insights into both its promise and its challenges, especially as they relate to human behavior and decision-making. Join co-hosts Aline Holzwarth and Samuel Salzer as they introduce key themes for the season, including the profound implications of AI on behavioral science and society at large. The episode opens with breaking news from the AI world, such as the significance of neural networks, which serve as the foundation of modern AI systems. The hosts explain how neural networks work and contrast them with the extraordinary complexity of the human brain. The episode covers essential concepts for behavioral scientists, including large language models (LLMs), the backbone of generative AI, as well as prompt engineering and AI agents. These tools are transforming fields from healthcare to customer service, and the hosts break down their real-world applications, highlighting how they are used to enhance decision-making, automate workflows, and drive personalized interventions. Samuel and Aline debunk several common myths about AI, such as whether generative AI truly enhances creativity or if more complex models are always better. They also explore algorithmic bias versus human bias, discussing how AI can both amplify and address societal inequities depending on how it is designed and implemented. In “To AI or Not to AI”, this season’s quickfire round, the hosts weigh in on whether they’d trust AI for tasks like driving their kids to daycare or offering relationship advice, sparking a thought-provoking discussion on AI’s role in everyday life. This episode is a must-listen for anyone curious about the evolving relationship between behavioral science and AI, offering both high-level insights and detailed explorations of the real-world implications of these technologies. -- TIMESTAMPS: 00:00 Introduction to the Behavioral Design Podcast 02:36 Breaking News 04:30 Understanding Neural Networks 09:38 The Beauty and Complexity of the Human Brain 17:37 Season Preview 21:53 Meet Your Hosts 29:00 Nuanced Behavior 30:43 AI 101 for Behavioral Scientists 44:14 Debunking AI Myths 01:02:15 To AI or Not to AI: Quickfire Round 01:14:45 Final Thoughts LINKS: Geoffrey Hinton’s Talk on AI and John Hopfield’s Contributions to Neural Networks Sherry Turkle’s Memoir “The Empathy Diaries” Marvin Minsky and the Concept of the Brain as a Machine Cassie Kozyrkov’s Blog on Machine Learning Sendhil Mullainathan’s Paper on Algorithmic Fairness Generative AI enhances individual creativity but reduces the collective diversity of novel content Superintelligence: Paths, Dangers, Strategies Biased Algorithms Are Easier to Fix Than Biased People Nuance Behavior Website -- Interesting in collaborating with Nuance? If you’d like to become one of our special projects, email us at hello@nuancebehavior.com or book a call directly on our website: nuancebehavior.com. Support the podcast by joining ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more. Every Monday our ⁠⁠⁠⁠Habit Weekly newsletter⁠⁠⁠⁠ shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.  Get in touch via ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠⁠ The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠

We've reached the end of Season 3! 🎉 In this finale, we give you the inside scoop on topics behavioral design from 2023. From our favorite resources to AI to films, we explore all things behavioral design, so you too are in the inside scoop! All resources are linked below. Enjoy! From the bottom of our hearts, thank you for supporting us throughout the year! We appreciate you! 🙏 🙌 Gratitude: A systematic review of the strength of evidence for the most commonly recommended happiness strategies in mainstream media | Nature Human Behaviour (Dunigan Folk & Elizabeth Dunn) No Sweat book - Michelle Segar Preregistering, transparency, and large samples boost psychology studies’ replication rate to nearly 90% | Science High replicability of newly discovered social-behavioural findings is achievable | Nature Human Behaviour Favorite Resources: BehaviorBytes Women in Behavioral Science and the Women in Behavioral Science LinkedIn group – Darcie Piechowski Lesson on Fraud and Whistleblowing – Zoe Ziani Choice Overload: It’s not about the number – Hassan & Roos 7 Routes to Applied Behavioural Science Experimentation and Observation – Affective + OECD Mapping Behavioural Journeys – Common Thread A Manifesto for Applying Behavioral Science – The Behavioural Insights Team Behavioral Science as a Specialization – Connor Joyce The Science of Context – Jared Peterson Top 10 films: Fallen leaves Close Passages Luxembourg, Luxembourg Past Lives Beau Is Afraid One Fine Morning Barbie Oppenheimer Infinity Pool -- Support the podcast by joining ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more. Every Monday our ⁠⁠⁠Habit Weekly newsletter⁠⁠⁠ shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.  Get in touch via ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠ The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠

Welcome to the latest Product Deep Dive! ⁠💊 In this bonus series of the Behavioral Design Podcast, we take a closer look at the seemingly simple, yet tremendously important, pill bottle. Previous guest, Aarthi Rao, took her stab at designing the best pill bottle, so we decided to deep dive into all things behavioral design in the pill bottle world, ourselves! Easy, attractive, social, personalized...tune in to learn more, this one was a lot of fun! Thank you to all of our listeners for supporting our podcast. Tune in next week for our Season 3 finale!---- Support the podcast by joining ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more. Every Monday our ⁠⁠Habit Weekly newsletter⁠⁠ shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.  Get in touch via ⁠⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠⁠ The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠

Aarthi Rao leads behavioral insights at Cityblock Health, as their Vice President of Behavioral Insights and Strategic Engagement Innovation. Aarthi also founded the Design and Innovation Lab at CVS Health. Aarthi has successfully merged human-centered practices, such as design thinking, with behavioral science at Cityblock. She is a strong advocate for merging qualitative and quantitative methods to better design patient experiences. Today we spoke to Aarthi about how to reach hard-to-reach communities, designing the perfect pill bottle that fits into a patient’s healthcare ecosystem, and so much more. Enjoy! -- Support the podcast by joining ⁠⁠⁠⁠⁠⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠⁠⁠⁠⁠⁠ 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more. Every Monday our ⁠Habit Weekly newsletter⁠ shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business.  Get in touch via ⁠⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com⁠ The song used is ⁠⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠

Steph Habif is known for a range of health behavior research and strategy, and for leading behavioral science at Tandem Diabetes. Today we chat with Steph about what she’s doing at Tandem to design for diabetic patients, working at the intersection of behavioral science and human-computer interaction. We also went over what Steph called behavioral science's branding problem. Do you know someone who would enjoy Behavioral Design? Please tell them about us! Thanks for listening! -- Support the podcast by joining ⁠⁠⁠⁠⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠⁠⁠⁠⁠ 🚀. Members get access to extensive content databases, calls with field leaders, exclusive offers and discounts, and so much more. Every Monday our Habit Weekly newsletter shares the best articles, videos, podcasts, and exclusive premium content from the world of behavioral science and business. Get in touch via ⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com The song used is ⁠⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro⁠

Welcome to the latest Product Deep Dive! 🗓️ In this bonus series of the Behavioral Design Podcast, we take a closer look at the all-so-famous, yet simple, calendar. Previous guests, Laurie Santos, Linda Babcock & Ashley Whillans all spoke to us about time, so we decided it was "time" (get it) to discuss it in more detail! Tune in to learn more about our love/hate relationship with the calendar, the pros and cons between more or less calendar, and so much more! Who knew calendars were so much fun? -- Support the podcast by joining ⁠⁠⁠⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠⁠⁠⁠ 🚀 The song used is ⁠⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠ Get in touch via ⁠⁠⁠⁠⁠⁠⁠podcast@habitweekly.com

In this episode, we speak with Linda Babcock, Professor of Economics and former dean at Carnegie Mellon University (CMU). She’s also the founder and faculty director of the Program for Research and Outreach on Gender Equity in Society (PROGRESS), also at CMU. Linda has a new book, The No Club: Putting a Stop to Women's Dead-End Work. During our conversation, we speak with Linda about why and what leads women to take on more "non-promotable tasks", how the work environment influences this and why the expectation is there in the first place. Happy listening! -- Support the podcast by joining ⁠⁠⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠⁠⁠ 🚀 The song used is ⁠⁠⁠⁠⁠⁠Murgatroyd by David Pizarro.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠ Get in touch via ⁠⁠⁠⁠⁠⁠podcast@habitweekly.com

In this episode, we speak with Mitesh Patel, a leading expert on the use of nudges, gamification, and wearables to improve health. Mitesh founded and led the Penn Medicine Nudge Unit and is currently the Chief Clinical Transformation Officer at Ascension. During our converstation, Mitesh discusses examples of behavioral design in the wild and how they can be used to encourage people to engage in healthy behaviors. Together we explore the topic of gamification and its potential use in encouraging exercise and discuss the application of behavioral science in healthcare. The episode includes a product deep dive into gyms and how they can be optimized using behavioral design principles. We hope you enjoy this episode! -- Support the podcast by joining ⁠⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠⁠ 🚀 The song used is ⁠⁠⁠⁠⁠Murgatroyd by David Pizarro.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠ Get in touch via ⁠⁠⁠⁠⁠podcast@habitweekly.com

Welcome to the latest Product Deep Dive! 🚗 In this fun bonus series of the Behavioral Design Podcast, we take a closer look at products discussed in past episodes of the show. In this episode, we are discussing the product "Autonomous Vehicles", following up on our conversation with Nick Chater from last week. Tune in to learn more about how we would re-design Autonomous Vehicles, our own behavioral considerations, and what we can learn from this as behavioral designers. Happy listening! – PS. The If books could kill podcast episode on nudging can be found here. – We'd love to hear your thoughts on this topic and ideas for future episodes! Get in touch via ⁠⁠⁠⁠podcast@habitweekly.com⁠⁠⁠⁠ Support the podcast by joining ⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠ 🚀 The song used is ⁠⁠⁠⁠Murgatroyd by David Pizarro.⁠⁠⁠⁠⁠⁠⁠⁠ 

In this episode, we're thrilled to host Nick Chater, an esteemed Professor of Behavioural Science at Warwick Business School. Nick is a leading figure in his field, focusing his research on the cognitive and social foundations of rationality. He is the co-founder and Director of the research consultancy Decision Technology Ltd, and has written engaging books like "The Language Game: How Improvisation Created Language and Changed the World" and "The Mind is Flat: The Remarkable Shallowness of the Improvising Brain". Join us as we delve into a captivating conversation with Nick on the application of behavioral science to public policy. We discuss the fascinating interplay between various branches of behavioral science and their implications in real-world policy decisions, bridging the gap between theory and practice. For our product deep-dive, we navigate the intriguing world of autonomous vehicles, examining their design and impact through the lens of behavioral science. In addition, we explore Nick's provocative paper co-authored with George Loewenstein on I frames vs. S frames. -- Support the podcast by joining ⁠⁠⁠⁠Habit Weekly Pro⁠⁠⁠⁠ 🚀 The song used is ⁠⁠⁠⁠Murgatroyd by David Pizarro.⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠ Get in touch via ⁠⁠⁠⁠podcast@habitweekly.com

In this episode we are delighted to welcome Paul Bloom, a distinguished developmental psychologist and Professor of Psychology at the University of Toronto. Paul has authored seven books, including Aginst Empathy and his most recent, Psych: The Story of the Human Mind. He is one of the leading thinkers in psychology and has dedicated his career to exploring how people, both children and adults, make sense of the world through language, morality, pleasure, pain, and religion. Join us as we engage in a thought-provoking conversation with Paul about the different subfields of psychology and what they can bring to the real world, from neuroscience to developmental psychology, cognitive, social, and clinical. This discussion evolves into a stimulating debate on the extent to which academia can truly contribute to industry. For our product deep-dive, we challenge Paul to consider how concepts and methods from behavioral science could be used to improve the Bible, and delve into his perspective on the age-old question of nature versus nurture in shaping our lives. This episode should be a fascinating listen for anyone interested in the human mind, behavioral science, and the intersection between academia and industry. Relevant links Paul's website Buy Psych: The Story of the Human Mind Check out Paul's podcast series Psych, hosted with our friend Dave Pizarro exploring concepts from his book Support the podcast by joining ⁠⁠⁠Habit Weekly Pro⁠⁠⁠ 🚀 The song used is ⁠⁠⁠Murgatroyd by David Pizarro.⁠⁠⁠⁠⁠⁠ ⁠⁠⁠ Get in touch via ⁠⁠⁠podcast@habitweekly.com

Welcome to the latest Product Deep Dive! 🎤 In this fun bonus series of the Behavioral Design Podcast, we take a closer look at products discussed in past episodes of the show. In this episode, we are discussing the product "Conferences", following up on our conversation with Dave Pizarro from last week. Tune in to learn more about how we would re-design conferences, what they have in common with weddings, and what we can learn from this as behavioral designers. Happy listening! – We'd love to hear your thoughts on this topic and ideas for future episodes! Get in touch via ⁠⁠⁠podcast@habitweekly.com⁠⁠⁠ Support the podcast by joining ⁠⁠⁠Habit Weekly Pro⁠⁠⁠ 🚀 The song used is ⁠⁠⁠Murgatroyd by David Pizarro.⁠⁠⁠⁠⁠⁠ 

In this episode of the Behavioral Design Podcast, we are delighted to speak with Dave Pizarro, esteemed professor at Cornell and Chief Science Officer at BE Works. Dave's extensive experience offers a unique perspective on the applications of behavioral science in both academic and industry settings. Join us as we engage in a thought-provoking conversation with Dave about his research on moral views and how they shape judgments and behavior. We delve into the power and intricacies of reinforcement, the challenges of conducting research and translating findings in an industry context, and Dave's most controversial opinion in behavioral science. This episode is a must-listen for anyone interested in understanding the intersection of behavioral science in academia and the real world, and the potential for collaboration between the two spheres. Relevant links Dave’s website Dave’s Twitter Dave’s podcast Support the podcast by joining ⁠⁠⁠Habit Weekly Pro⁠⁠⁠ 🚀 The song used is ⁠⁠⁠Murgatroyd by David Pizarro (yes, same guy!).⁠⁠⁠⁠ Get in touch via ⁠⁠⁠podcast@habitweekly.com

Welcome to the latest Product Deep Dive! 🤿 In this new series of the Behavioral Design Podcast, we take a closer look at products discussed in past episodes of the show. In this episode, we are discussing the product "toothbrush", following up on our conversation with Heather Cole-Lewis from last week. Tune in to learn more about how we would re-design a toothbrush, and what we can learn from this as behavioral designers. *This episode was scheduled for Wednesday, but was delayed due to technical difficulties. Thank you for your patience! – We'd love to hear your thoughts on this topic and ideas for future episodes! Get in touch via ⁠⁠podcast@habitweekly.com⁠⁠ Support the podcast by joining ⁠⁠Habit Weekly Pro⁠⁠ 🚀 The song used is ⁠⁠Murgatroyd by David Pizarro.⁠⁠⁠⁠ 

In the latest episode of the Behavioral Design Podcast, we are thrilled to have Heather Cole-Lewis, a renowned Behavioral Epidemiologist and Health Equity Clinical Scientist at Google. Heather is best known for her groundbreaking Big E, little e framework in the realm of digital health interventions. Join us as we dive into an engaging discussion with Heather about the intricacies of engagement in digital health interventions, including a deep dive into her Big E, little e model. Heather shares her unique insights on redesigning a product we all use on a daily basis, demonstrating a targeted approach that considers factors such as a person's background, goals, and specific context. We also explore the challenges of addressing health disparities and the importance of a more equitable approach to intervention development. Finally, Heather enlightens us on the significance of making a strong business case for behavioral science. This episode promises to be a captivating listen for anyone interested in digital health, behavioral science, and creating equitable solutions. Relevant links Connect with Heather on ⁠LinkedIn⁠ Read her ⁠research paper on Big E vs Little e framework⁠ Read her latest paper on how ⁠Large Language Models Encode Clinical Knowledge⁠ Support the podcast by joining ⁠⁠Habit Weekly Pro⁠⁠ 🚀 The song used is ⁠⁠Murgatroyd by David Pizarro.⁠⁠⁠⁠ ⁠⁠ Get in touch via ⁠⁠podcast@habitweekly.com