Research Projects and Information

Agenda

I study what happens when people and information systems, particularly recommender systems, collide in many different ways. This work blends human-computer interaction, artificial intelligence, and information retrieval to answer two key questions:

  1. How can we build information systems that are better able to meet human needs?
  2. How do these systems interact with people and society?

In 2018, I received an NSF CAREER award to further study these topics.

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If you want in, see my info for students or check out our research group.

Research Outputs

People and Information Research Team
PIReT

Active Projects

Fair Recommender Systems
Reliability in Recommender Research
Two students reading on a laptop with their teacher
LITERATE — News in the Classroom
Differences in Recommenders
Recommender Applications
Other Recommender Research

Previous Projects

Large-Scale Education
Wiki Article History
Wiki Article History