Maps of Science
Maps of science reveal where ideas come from and where they are going.
Research Focus Areas
News and Updates
The DataLab's Critical Platform Studies Group will present their work "Algorithmic Accountability in Surveillance Regulation" at the 2019 iConference.
Dr. Krafft will participate in the (competitively selected) Berkman Assembly program, a program that gathers technologists, managers, and policymakers to confront emerging problems related to the ethics and governance of artificial intelligence.
The DataLab's Critical Platform Studies Group will present their work "Understanding vs. Accounting for Automated Systems: The Case of the Seattle Surveillance Ordinance" at TILTing 2019: 'Regulating a World in Transition'.
PhD student Leo Stewart presented "Drawing the Lines of Contention: Networked Frame Contests within #BlackLivesMatter Discourse" at the 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing.
Dr. Krafft and co-authors presented their work "How to Organize your Deep Reinforcement Learning Agents: The Importance of Communication Topology" at the 2018 NeurIPS Deep Reinforcement Learning Workshop
What we do
The DataLab is the nexus for research on Data Science and Analytics at the UW iSchool. We study large-scale, heterogeneous human data in an effort to understand why individuals, consumers, and societies behave the way they do. Our goal is to use data for the social good, in an ethical manner that can inform policy and impact lives for the better. As the focal point for industry partnerships related to “big data” and business analytics, the DataLab also provides infrastructure and support for student training and engagement in projects that involve the analysis of large datasets.