Debates about the societal influence of data and automation cannot meaningfully happen without an evidence base, drawn from empirical research, that challenges the hype and fear surrounding sociotechnical systems. At Data & Society, we pursue frame-breaking research questions informed by the realities of those who may be adversely affected by the integration and implementation of these technologies.
Research
Research Tracks
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Labor Futures
We interrogate how technology is disrupting, destabilizing, and transforming many aspects of work and employment.
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AI on the Ground
We use social science to develop robust analyses of AI systems; effectively assess the impact of AI systems; and inform future design, use, and governance.
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Trustworthy Infrastructures
We explore how diverse sets of communities shape their collective responses to top-down technological solutions.
Cross-Cutting Themes
Featured Reports
Our Approach to Research
Latest Academic Articles
Past Projects
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Council for Big Data, Ethics, and Society
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Data and Equity in School Choice
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Digital Privacy & Data Literacy
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Education & Data
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Human Rights & Data
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Human Rights, Data, and Migration
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Mapping Inequalities Across the On-Demand Economy
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Privacy & Data
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Socio-technical Security
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Understanding Privacy as a Means of Economic Redistribution
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Cities of Data
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Data & Fairness
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Reframing Privacy
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Supporting Ethics in Data Research
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Survey Research into the Privacy and Security Experiences of Low-SES Populations
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What Lenders See
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Cyberstalking and Digital Domestic Abuse
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Enabling Connected Learning
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Empowering the next generation of civic leaders
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Intelligence and Autonomy
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Ethics in “Big Data” Research
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Network Geography 101
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Privacy
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Algorithms and Publics
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Data, Human Rights & Human Security
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Understanding and Evaluating Health Technologies for Patients with Chronic Multiple Conditions
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Data Science Reasoning
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Tech Translation
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Fairness in Precision Medicine
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Disinformation Action Lab