Scholar
Grant Schoenebeck
Google Scholar ID: m4zCAPoAAAAJ
University of Michigan
Citations & Impact
Citations
2,156
H-index
21
i10-index
37
Publications
20
Co-authors
6
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Recipient of NSF CAREER Award, Google Faculty Award, Facebook Faculty Award, NSF Algorithms in the Field Grant, NSF CCF Small Recipient (3x), NSF RI Medium Recipient; Published multiple papers on topics including LLM judgment benchmarking, text evaluation, peer prediction, and wisdom of the crowd voting.
Research Experience
- Serves as an Associate Professor at the University of Michigan School of Information and has mentored several PhD students and postdocs.
Education
- Information not provided
Background
- Associate Professor in the School of Information at the University of Michigan. Research interests include combining machine learning tools and economic approaches (e.g., game theory, mechanism design, and information design) to develop and analyze systems for eliciting and aggregating information from diverse groups. This work applies to scenarios requiring collective decision-making, such as peer grading, peer review, crowd-sourcing, content moderation, misinformation detection, surveys, and employment hiring/evaluation. More broadly, he is interested in multi-agent systems, data economics, and algorithmic game theory.
Miscellany
- Looking for excellent PhD students who can approach problems using both theoretical (formal mathematical) and other methods.
