Hi there! DigiLabour<https://digilabour.com.br/> & Tierra Común <https://www.tierracomun.net/en/home> announce a book talk with Anita Say Chan<https://www.anitachan.org/> <https://www.anitachan.org/> (University of Illinois, Urbana-Champaign) about the new book Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future<https://www.ucpress.edu/books/predatory-data/paper> , published by University of California Press, and available in open access format. This will take place on January 29, 12PM ET, on the DigiLabour YouTube Channel:<https://youtube.com/digilabour> https://www.youtube.com/watch?v=TbyelDrhIZY After the talk, there will be a conversation with Paola Ricaurte<https://research.tec.mx/vivo-tec/display/PID_18587> (Tecnologico de Monterrey) and Esteban Morales<https://esteban-morales.com/> <https://esteban-morales.com/> (University of Groningen). The activity will be moderated by Rafael Grohmann<https://www.utsc.utoronto.ca/acm/rafael-grohmann> <https://www.utsc.utoronto.ca/acm/rafael-grohmann> (University of Toronto). Anita, Paola, Esteban and Rafael are all Tierra Común members. ABOUT THE BOOK Predatory Data illuminates the throughline between the nineteenth century's anti-immigration and eugenics movements and our sprawling systems of techno-surveillance and algorithmic discrimination. With this book, Anita Say Chan offers a historical, globally multisited analysis of the relations of dispossession, misrecognition, and segregation expanded by dominant knowledge institutions in the Age of Big Data. While technological advancement has a tendency to feel inevitable, it always has a history, including efforts to chart a path for alternative futures and the important parallel story of defiant refusal and liberatory activism. Chan explores how more than a century ago, feminist, immigrant, and other minoritized actors refused dominant institutional research norms and worked to develop alternative data practices whose methods and traditions continue to reverberate through global justice-based data initiatives today. Looking to the past to shape our future, this book charts a path for an alternative historical consciousness grounded in the pursuit of global justice. TABLE OF CONTENTS Introduction: Predatory Data: Civic Amputations in the Global Data Economy 1 • Immigrant Excisions, “Race Suicide,” and the Eugenic Information Market 2 • Streamlining’s Laboratories: Monitoring Culture and Eugenic Design in the Future City 3 • Of Merit, Metrics, and Myth: Cognitive Elites and Techno-Eugenics in the Knowledge Economy 4 • Relational Infrastructures: Feminist Refusals and Immigrant Data Solidarities 5 • The Coalitional Lives of Data Pluralism: Intergenerational Feminist Resistance to Data Apartheid 6 • Community Data: Pluri-Temporalities in the Aftermath of Big Data Conclusion: Data Pluralism and a Playbook for Defending Improbable Worlds ABOUT THE AUTHOR Anita Say Chan, PhD (she/her) is a scholar and educator dedicated to feminist and decolonial approaches to technology. She is an Associate Professor of Information Sciences and Media, and founder of the Community Data Clinic at the University of Illinois at Urbana-Champaign. Join us for this book talk! best, Rafael -- dr. Rafael Grohmann Assistant Professor of Media Studies Department of Arts, Culture and Media<https://www.utsc.utoronto.ca/acm/rafael-grohmann> Faculty of Information<https://ischool.utoronto.ca/profile/rafael-grohmann/> University of Toronto Leader, DigiLabour<https://digilabour.com.br/> Research Associate, University of Oxford<https://www.oii.ox.ac.uk/people/profiles/rafael-grohmann/> Founding Editor, Platforms & Society<https://journals.sagepub.com/home/PNS> Principal Investigator, Worker-Owned Intersectional Platforms (WOIP)<https://digilabour.com.br/worker-owned-intersectional-platforms-woip/> Co-Lead, Creative Labour and Critical Futures (CLCF)<https://dhn.utoronto.ca/cdhi-members-launch-creative-labour-and-critical-futures/> 2024-2025 Faculty Fellow, Queer and Trans Research Lab, Bonham Centre for Sexual Diversity Studies, University of Toronto<https://sds.utoronto.ca/qtrl-cohort-2024-25/>