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.
The Latest from Data & Society
Explainer
A Sociotechnical Approach to AI Policy
Drawing on established literature and historical and present-day examples, our new brief explains what a sociotechnical perspective is and why it matters in policy.
Policy Brief
AI Governance Needs Sociotechnical Expertise
Our new policy brief outlines the importance of integrating humanities and social science expertise into AI governance, and offers a set of recommendations for doing so.
Report
Doing the Work: Therapeutic Labor, Teletherapy, and the Platformization of Mental Health Care
In this report, Researcher Livia Garofalo examines the changing realities for mental health professionals in the US as therapeutic labor is restructured by teletherapy services and digital platforms.
Book
Keywords of the Datafied State
Produced in collaboration with global scholars, this collection of essays explores concepts that are central to understanding the relationship between government and technology, and how it differs across geographies.