“Predictive Analytics and Child Welfare: Toward Data Justice.” Canadian Journal of Communication 45, no. “The ‘Golden View’: Data-Driven Governance in the Scoring Society.” Internet Policy Review 8, no. Dencik, Lina, Joanna Redden, Arne Hintz, and Harry Warne.“The Surveillance Gap: The Harms of Extreme Privacy and Data Marginalization.” NYU Review of Law and Social Change 42, no. She was a faculty fellow at Data & Society in 2019–2020, where she focused on legal strategies for countering the harms of data-centric technologies on low-income communities.
Professor Gilman writes extensively about data privacy and social welfare issues, and her articles have appeared in journals including the California Law Review, the Vanderbilt Law Review, and the Washington University Law Review. She also teaches evidence, federal administrative law, and poverty law. Professor Gilman directs the Civil Advocacy Clinic, where she supervises students representing low-income individuals and community groups in a wide range of litigation and law reform matters. Gilman is the Venable Professor of Law and associate dean for faculty research and development at the University of Baltimore School of Law. Currently, she is working on projects that involve: a) mapping and analyzing the social and political implications of increasing government uses of predictive and automated data systems, b) learning from data harms and those trying to redress these harms, and c) working toward greater citizen participation in our datafied societies. Her research combines interests in datafication, politics, governance and social justice. Joanna Redden is an assistant professor at the Faculty of Information & Media Studies at the University of Western Ontario and the co-director of the Data Justice Lab. His dissertation research on Aadhaar, the national biometrics-based identification infrastructure of India, advances public understanding of the affordances and limits of biometrics-based data infrastructures in practically achieving inclusive development and reshaping the nature of Indian citizenship. Singh examines the everyday experiences of people subject to data-driven practices and follows the mutual shaping of their lives and their data records. His research lies at the intersection of data infrastructures, global development, and public policy, and uses methods of interview-based qualitative sociology and multi-sited ethnography. Ranjit Singh has a doctorate in Science and Technology Studies (STS) from Cornell University.
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