Anne Washington

Dr. Anne L. Washington is an Assistant Professor of Data Policy at NYU. At the broadest level, her multi-disciplinary work considers the impact of technology on society through the lens of digital record keeping. Her expertise on public sector information currently addresses the emerging governance needs of data science. The National Science Foundation has funded her research multiple times including a prestigious 5-year NSF CAREER grant on open government data. Her data-intensive projects draw on both interpretive research methods and computational text analysis. She holds an undergraduate degree from Brown University, a graduate degree from Rutgers University, and a doctorate in Information Systems and Technology Management from  The George Washington University School of Business. Prior to completing her doctorate, she had extensive work experience with the Congressional Research Service at the Library of Congress, Barclays Global Investors, and Apple Computer.  Professor Washington serves on the Advisory Boards of the Electronic Privacy Information Center (EPIC) and the Open Government Foundation. She has served as a fellow at the Data & Society Research Institute of New York and the Peter Pribilla Foundation of Munich and Leipzig Germany.

Selected Publications
  1. Washington, A. L., & Kuo, R. (2020). Whose side are ethics on?: Power, responsibility, and the social good. Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency (pp. 230-240).
  2. Washington, A. (2019). How to argue with an algorithm: Lessons from the COMPAS ProPublica debate. Colorado Technology Law Journal, 17(1).
  3. Washington, A. (2019). Who do you think we are? The data publics in digital government policy. In Proceedings of the 52nd Hawaii International Conference on Systems Science (pp. 3264-3272).
  4. Alexander, A., Berthod, O., Kunert, S., Salge, T. O., & Washington, A. L. (2015). Failure driven innovation. Berlin: Artop University Press.
  5. Washington, A. L. (2014). Government information policy in the era of big data. Review of Policy Research, 31(4), 319-325.