Daniel N. Kluttz is a postdoctoral scholar at UC Berkeley's School of Information. He is a sociologist and legal scholar who studies how law, technology, and firms produce—and are produced by—social relations. Drawing from intellectual traditions in law and society, organizational theory, technology studies, cultural sociology, and economic sociology, Kluttz's research is oriented around two general lines of inquiry: 1) the formal and informal governance of economic and technological innovations, and 2) the organizational environments centered around such innovations. He employs both quantitative and qualitative methods in his work, including longitudinal and multi-level modeling techniques, geospatial analysis, historical/archival methods, participant observation, and in-depth interviews. Prior to obtaining his Ph.D. in sociology, he practiced law in Raleigh, NC.
With UC Berkeley I-school professors Jenna Burrell and Deirdre Mulligan, Kluttz co-organizes the Algorithmic Fairness and Opacity Group (AFOG). AFOG is an interdisciplinary group of researchers from academia and the technology industry working to develop research and policy recommendations around issues of fairness, bias, transparency, and accountability in the construction and application of algorithms and emerging technical tools/systems, particularly as applied to artificial intelligence and machine learning.
B.A., Sociology and Psychology (double major), University of North Carolina, Chapel Hill (2005)
J.D., University of North Carolina School of Law (2008)
Ph.D., Sociology, University of California, Berkeley (2017)