Join us for the launch party of the new book Uberland: How Algorithms Are Rewriting the Rules of Work by Data & Society Researcher Alex Rosenblat. Uberland chronicles over 5,000 miles logged with drivers in more than 25 cities in the United States and Canada over the span of four years. Rosenblat, an award-winning technology Continue...
around the institute
Data & Society's speaker series – Databites – is geared toward engaging our network and the broader public on unresolved questions and timely topics of interest to the D&S community.
Virginia Eubanks, Alondra Nelson, and Julia Angwin
Nabiha Syed in conversation with Claire Wardle and Joan Donovan
Our annual Fellowship Program supports Data & Society’s crucial ongoing field-building work at the intersection of data-centric technology and society.
Hosting a variety of practitioners and academics–data scientists and engineers, lawyers and librarians, ethnographers and creators, historians and activists–each class of Data & Society fellows connects us more deeply to the field through individual projects, mutual support, contribution to core research projects, and insightful public communications.
Past Data & Society fellows have had work appear in the New York Times op-ed, technology, and arts sections; at Internet Freedom Forum, the Museum of Modern Art, W3C, Personal Democracy Forum, RightsCon, and Eyeo Festival; and in viral digital videos about data surveillance and bio-design.
Our call for fellows is now closed.
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Data & Society advances public understanding of the social implications of data-centric and automated technologies through research and field-building. As an independent 501c3, our research and programs depend on the generosity of donors like you. With your support, Data & Society will continue our commitment to share research that challenges and re-frames widely-held narratives about the role of technology in society. Our work informs decision-makers in industry, government, media and civil society. As a donor to Data & Society, you are making a contribution towards a future in which evidence and knowledge guide crucial decisions about the power of technology in society.