About

Michael Ekstrand is an assistant professor of information science at Drexel University, where he leads the Impact, Novation, Effectiveness, and Responsibility of Technology for Information Access Lab (INERTIAL). His research blends human-computer interaction, information retrieval, machine learning, and statistics to try to make information access systems, such as recommender systems and search engines, good for everyone they affect. In 2018, he received the NSF CAREER award to study how recommender systems respond to biases in input data and experimental protocols and predict their future response under various technical and sociological conditions, and is co-PI on the NSF-funded POPROX project to develop shared infrastructure for user-facing recommender systems research.