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Anne Washington

Assistant Professor of Data Policy

Applied Statistics, Social Science, and Humanities

Anne L. Washington is an Assistant Professor of Data Policy at NYU. She applies her expertise in digital government to emerging data governance issues in organizations with a public mission. As a computer scientist trained in organizational ethnography, she unites inductive qualitative research methods with technology tools. At the broadest level, her multi-disciplinary work considers the impact of technology on society through the lens of digital record keeping. The National Science Foundation has funded her research multiple times including a five-year NSF CAREER grant on open government data. She holds an undergraduate degree in computer science from Brown University, a graduate degree in Library & Information Science from Rutgers University, and a doctorate in Information Systems and Technology Management from The George Washington University. 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. She teaches in the Applied Statistics, Social Science, and Humanities department in the Steinhardt School of Culture, Education, and Human Development at New York University.


Applied Statistics for Social Science Research

Learn advanced quantitative research techniques and apply them to critical policy issues across social, behavioral, and health sciences.

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Ethics of Data Science

Course is designed to build students" ethical imaginations and skills for collecting, storing, sharing and analyzing data derived from human subjects including data used in algorithms. The course provides historical background to understand the tenets of informed consent, discrimination, and privacy. Using case study design, students will explore current applications of quantitative reasoning in organizations, algorithmic transparency, and unintended automation of discrimination via data that contains biases rooted in race, gender, class, and other characteristics.
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Applied Statistics, Social Science, and Humanities