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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.
Course #
APSTA-GE 2062
Units
3
Term
Spring
Department
Applied Statistics, Social Science, and Humanities

Professors

Anne Washington

Assistant Professor of Data Policy

anne.washington@nyu.edu

Related Degree

MS, Applied Statistics for Social Science Research

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

Two students looking at something on a computer