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Presenting timely conversations about the purpose and power of technology that bridge our interdisciplinary research with broader public conversations about the societal implications of data and automation.
For more information, visit datasociety.net.
For more information, visit datasociety.net.
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![[Podcast] The Formalization of Social Precarities](https://image.simplecastcdn.com/images/9856635c-0e65-421d-898d-9d7fd229b4fd/8c5af241-c68c-4e8c-a273-005f56e984a3/3000x3000/fosp-far.jpg?aid=rss_feed "[Podcast] The Formalization of Social Precarities")
The Formalization of Social Precarities podcast explores platformization from the point of view of precarious gig workers in the Majority World. This conversation was moderated by Aiha Nguyen and Murali Shanmugavelan featuring the voices of Ambika Tandon, Ludmilla Costhek Abílio, and Ananya Raihan. You will also be hearing the experience of two platform workers interviewed for this project: Fatema Begum from Bangladesh and Nicolas Sauza from Brazil. Their voices are narrated in English by Data & Society staff members Iretiolu Akinrinade and Rigoberto Lara Guzmán, respectively.
This podcast was edited by Sam Grant.
Data & Society’s report, Doing the Work: Therapeutic Labor, Teletherapy, and the Platformization of Mental Health Care, written by Livia Garofalo, explores how these new arrangements of therapeutic labor are affecting how therapists provide care and make a living in the US. By focusing on the experiences of providers who practice teletherapy and work for digital platforms, our research examines the fundamental tensions that emerge when a profession rooted in clinical expertise, licensing, and training standards meets the dynamics of platformization, productivity incentives, and algorithmic management.
In this conversation, we reflected on how technology is changing the conditions of how therapists do their work, on the consequences for the present and future of therapeutic labor, and on how this might be changing our understanding of therapy itself.
Generative AI has seeped into many corners of our lives, and threatens to upend the economy as we know it, from education to the film industry. How do workers’ encounters with it differ from their experiences with other systems of automation? How are they similar, and how might this help us understand the shape and stakes of this latest technology?In this three-part Databite series, Data & Society’s Labor Futures program brings together creators, platform workers, call center workers, coders, therapists, and performers for conversations with technologists, researchers, journalists, and economists to complicate the story of generative AI. By centering workers’ experiences and interrogating the relationship between generative AI and underexplored issues of hierarchy, recognition, and adaptation in labor, these interdisciplinary conversations will uncover how new technological systems are impacting worker agency and power.Learn more about the speakers, series, and references at datasociety.net.
This public keynote was part of Trust Issues, a Data & Society workshop organized by the Trustworthy Infrastructures program. That team includes Sareeta Amrute, Livia Garofalo, Robyn Caplan, Joan Mukogosi, Tiara Roxanne, and Kadija Ferryman.
Purchase your own copy of Queer Data Studies here: https://bookshop.org/a/14284/9780295751979.
Generative AI has seeped into many corners of our lives, and threatens to upend the economy as we know it, from education to the film industry. How do workers’ encounters with it differ from their experiences with other systems of automation? How are they similar, and how might this help us understand the shape and stakes of this latest technology?In this three-part Databite series, Data & Society’s Labor Futures program brings together creators, platform workers, call center workers, coders, therapists, and performers for conversations with technologists, researchers, journalists, and economists to complicate the story of generative AI. By centering workers’ experiences and interrogating the relationship between generative AI and underexplored issues of hierarchy, recognition, and adaptation in labor, these interdisciplinary conversations will uncover how new technological systems are impacting worker agency and power.Learn more about the speakers, series, and references at datasociety.net.
About the SeriesGenerative AI has seeped into many corners of our lives, and threatens to upend the economy as we know it, from education to the film industry. How do workers’ encounters with it differ from their experiences with other systems of automation? How are they similar, and how might this help us understand the shape and stakes of this latest technology?In this three-part Databite series, Data & Society’s Labor Futures program brings together creators, platform workers, call center workers, coders, therapists, and performers for conversations with technologists, researchers, journalists, and economists to complicate the story of generative AI. By centering workers’ experiences and interrogating the relationship between generative AI and underexplored issues of hierarchy, recognition, and adaptation in labor, these interdisciplinary conversations will uncover how new technological systems are impacting worker agency and power.Learn more about the speakers, series, and references at datasociety.net.
When people die, they leave behind not only physical belongings, but digital ones. While they might have had specific wishes for what happens to their online profiles and accounts after their deaths, preserving these digital remains is complex and requires specialized forms of care. Because digital remains are attached to corporate platforms — which have control over what online legacies look like and how long they continue — people’s digital afterlives are not necessarily the ones they would have chosen for themselves.
On November 16, Tamara Kneese and Tonia Sutherland came together for a conversation about their books, which both foreground death as a site for understanding the social values and power dynamics of our contemporary, platform-saturated world. The conversation between these two authors was moderated by Tamara K. Nopper, senior researcher with Data & Society’s Labor Futures program. Together, they explored death as a site of contestation and transformation.
On October 30, the White House issued its long-awaited executive order on artificial intelligence. We’re heartened by the order’s focus on some of AI’s most pressing real-world harms, and especially encouraged by its commitment to apply mandatory rights-protecting practices to the federal government’s use of AI, drawing heavily from the Blueprint for an AI Bill of Rights. A key issue now will be implementing the order’s directives, and addressing the need to put money and people quickly into action across the federal government to advance a very ambitious plan on a short timeline.
Our November 7 at 11 a.m. ET during a special LinkedIn Live event featured analysis of the AI executive order with Data & Society’s Executive Director Janet Haven, Policy Director Brian Chen and two coauthors of the Blueprint for an AI Bill of Rights: D&S Senior Policy Fellow Sorelle Friedler and Brown University Professor and D&S Board Member Suresh Venkatasubramanian. They offered their impressions of the order, considered the implications of guidance from the Office of Management and Budget, and reflected on what’s next for policy and the field.
As AI presents technical and engineering innovations, the systems present fundamental risks to people, their families, and their communities. Public participation in AI will not be easy. But there are foundational lessons to apply from other domains. Author and legal scholar Michele Gilman’s latest policy brief, Democratizing AI: Principles for Meaningful Public Participation, builds on a comprehensive review of evidence from public participation efforts in anti-poverty programs and environmental policy that summarizes evidence-based recommendations for how to better structure public participation processes for AI.
To discuss the policy brief, we invited Michele Gilman to be in conversation with Harini Suresh, Assistant Professor of Computer Science at Brown University, and Richard Wingfield, Director of Technology and Human Rights at BSR. This conversation was moderated by D&S Participatory Methods Researcher, Meg Young, and D&S Policy Director, Brian Chen.
As a tech platform and a company, Uber has become emblematic of an economic shift toward precarious, low-wage gig work and declining labor standards, which has unfolded under the guise of innovation. But an overlooked dimension of Uber’s rise is how the company capitalized on deeper tensions at the heart of urban politics. In Disrupting DC: The Rise of Uber and the Fall of the City, authors Katie Wells, Kafui Attoh, and Declan Cullen tell the story of Uber as a political force, revealing how DC became a testing ground and eventual “playbook” for the company’s consolidation of power across the nation and the globe.
During our September 21 Network Book Forum, co-authors Katie Wells and Kafui Attoh discussed their book with M.R. Sauter in a conversation moderated by Data & Society researcher Alexandra Mateescu.
"I've always loved the term triple threat: someone who can do research, consulting, and teaching together, consulting being engaged with the world. I knew, yes, I want to be a triple threat. That's been my steadiness, or my purpose, that I've held onto for a long time." - Lindsey Cameron “Creating your own terms for how you want to be in the world always has to be done in solidarity with others. That's why I get so much from these conversations and the fellowship.” - Sareeta Amrute Data & Society launched Race and Technology fellowships three years ago to recognize how important questions of race, and analogous concepts like caste, are to studying, developing, and using emerging technologies. This year's fellows, Lindsey Cameron and Christina Harrington, convened interdisciplinary groups to talk through shared analysis and points of difference in their respective fields, devising nuanced ways to engage with the intersections of tech and race. Recorded in April 2023. Learn more at www.datasociety.net. __ Data & Society studies the social implications of data-centric technologies, automation, and AI. Through empirical research and active engagement, our work illuminates the values and decisions that drive these systems — and shows why they must be grounded in equity and human dignity.
“I always say that my research, even in the academy, has these parallel interests of thinking about how we make the technology itself more equitable, but then also thinking about -- how do we make the methods, whether they be the design methods or the research methods, more equitable and more accessible?” - Christina Harrington Data & Society launched Race and Technology fellowships three years ago to recognize how important questions of race, and analogous concepts like caste, are to studying, developing, and using emerging technologies. This year's fellows, Lindsey Cameron and Christina Harrington, convened interdisciplinary groups to talk through shared analysis and points of difference in their respective fields, devising nuanced ways to engage with the intersections of tech and race. Recorded in May 2023. Learn more at www.datasociety.net. __ Data & Society studies the social implications of data-centric technologies, automation, and AI. Through empirical research and active engagement, our work illuminates the values and decisions that drive these systems — and shows why they must be grounded in equity and human dignity.
Despite the ban on untouchability 70 years ago, caste, one of the oldest systems of exclusion in the world, is thriving — impacting 1.9 billion people worldwide. And the wreckages of caste are replicated in the US and elsewhere, showing up at work, at school, in housing, and in technology, and forcing countless Dalits to live in fear of being outed.In The Trauma of Caste: A Dalit Feminist Meditation on Survivorship, Healing, and Abolition, Dalit American activist Thenmozhi Soundararajan puts forth a call to awaken and act, not just for readers in South Asia, but around the world. She ties Dalit oppression to fights for liberation among Black, Indigenous, Latinx, femme, and queer communities, examining caste from a feminist, abolitionist, and Dalit Buddhist perspective — and laying bare the grief, rage, and stolen futures enacted by Brahminical social structures.Purchase your copy of The Trauma of Caste: https://bookshop.org/a/14284/9781623177652
![[Databite 153] Essentially Unprotected: Health Data and Surveillance of Essential Workers during the COVID-19 Pandemic](https://image.simplecastcdn.com/images/9856635c-0e65-421d-898d-9d7fd229b4fd/6e578720-4142-4f32-abbd-bd03803803b1/3000x3000/data-society-logo-sqaure-whiteat2x.jpg?aid=rss_feed "[Databite 153] Essentially Unprotected: Health Data and Surveillance of Essential Workers during the COVID-19 Pandemic"){kind=logo}
Data & Society’s report Essentially Unprotected is based on interviews with 50 people who worked in grocery, warehousing, manufacturing or meat and food processing during the pandemic. The report highlights their experiences and efforts to manage the confusing and often terrifying challenges of the in-person pandemic workplace.
In this conversation featuring Angela Stuesse and Irene Tung, Amanda Lenhart and Livia Garofalo examine the social, economic, and regulatory environment that laid the groundwork for serious information gaps surrounding infections. We will explore how technology contributed to the collection of data and worsened workers’ stress and frustration — and, in select cases, facilitated information-sharing that protected workers’ privacy and addressed their fears.
Read the report : https://datasociety.net/library/essentially-unprotected/
Desde hace mucho tiempo, el activismo en América Latina ha combatido - y en algunos casos ganado - la batalla por la libertad reproductiva. Dada la reciente revocación de Roe vs Wade, la “ola verde”, el color asociado con el movimiento para el aborto legal, seguro y gratuito que originó en Argentina y se ha expandido al resto del continente, ha llegado a los Estados Unidos. La revocación y penalización del derecho a abortar ha reanimado el debate sobre la autonomía, sobre el propio cuerpo y la información reproductiva personal, especialmente en este nuevo panorama de dataficación.
En esta conversación, Livia Garofalo, investigadora con el equipo Health + Data de Data & Society, hablará con Eugenia Ferrario, activista feminista de las Socorristas en Red en Argentina y Rebeca Ramos Duarte, abogada y directora de El Grupo de Información en Reproducción Elegida (GIRE) en México para reflexionar sobre la importancia del cuidado y la libertad reproductiva. Ponemos en el centro de este evento el concepto de “cuidado” concebido como ética y práctica de relaciones solidarias y sus manifestaciones digitales.
Este Databite fue interpretado por Claudia Alvis y Valeria Lara.
With the repeal of Roe v. Wade in the US, the “green wave” — a color associated with the movement for safe and legal abortion that started in Argentina and spread to the rest of the continent — has reached American shores. With it have come debates about bodily autonomy and, in an increasingly datafied landscape, ownership of personal reproductive information.
In this conversation, Livia Garofalo, researcher with Data & Society’s Health and Data team, spoke to Eugenia Ferrario, a feminist activist and educator with the abortion care network Socorristas en Red in Argentina, and Rebeca Ramos Duarte, a lawyer in Mexico and director of El Grupo de Información en Reproducción Elegida, about the significance of reproductive freedom and care in the current climate. In both English and Spanish, this conversation centers cuidado (which means “care” in Spanish) as both the means and an end to providing safe abortions, connecting activists, and understanding how the “digital” can facilitate and impede reproductive liberation.
This Databite was interpreted by Claudia Alvis and Valeria Lara.
Read the Report: "At the Digital Doorstep"
A PRIMER ON AI IN/FROM THE MAJORITY WORLD—An Empirical Site and a Standpoint
Recorded on June 3, 2022. Learn more at www.datasociety.net.
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fascinating. mind blown.