- About
- Courses
- Research
- Computational Social Science
- Critical Data Studies
- Data Science
- Economics and Information
- Education Technology
- Ethics, Law and Policy
- Human-Computer Interaction
- Human-Robot Interaction
- Incentives and Computation
- Infrastructure Studies
- Interface Design and Ubiquitous Computing
- Natural Language Processing
- Network Science
- Social Computing and Computer-supported Cooperative Work
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- BA - Information Science (College of Arts & Sciences)
- BS - Information Science (CALS)
- BS - Information Science, Systems, and Technology
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Allison Koenecke is an assistant professor of information science. Prior to her professorship at Cornell, she was a postdoc at Microsoft Research New England in the Machine Learning and Statistics group. Her research interests lie broadly at the intersection of economics and computer science, and her projects focus on fairness in algorithmic systems and causal inference in public health. She received a Ph.D. from the Stanford Institute for Computational & Mathematical Engineering.