Jens Witkowski
Associate Professor of Computer Science and Management • Professor
Associate Professor of Computer Science and Management
Jens Witkowski is Associate Professor of Computer Science and Management at the Frankfurt School of Finance & Management.
His research focuses on the intersection of data science and economics, with an emphasis on eliciting, aggregating, and evaluating crowd-sourced information. Jens has worked extensively on theoretical and empirical approaches to peer prediction and probabilistic forecasting.
Before joining Frankfurt School in August 2018, he held postdoctoral positions in the Good Judgment Project at the University of Pennsylvania and with the Institute for Machine Learning at ETH Zurich. From 2010–2014, Jens was a Fellow of the School of Engineering and Applied Sciences at Harvard University, where he worked on robust peer prediction mechanisms with David C. Parkes. Jens received his Ph.D. (2014) and Master’s (2009) degrees in Computer Science from Albert-Ludwigs-Universität Freiburg, Germany.
His research focuses on the intersection of data science and economics, with an emphasis on eliciting, aggregating, and evaluating crowd-sourced information. Jens has worked extensively on theoretical and empirical approaches to peer prediction and probabilistic forecasting.
Before joining Frankfurt School in August 2018, he held postdoctoral positions in the Good Judgment Project at the University of Pennsylvania and with the Institute for Machine Learning at ETH Zurich. From 2010–2014, Jens was a Fellow of the School of Engineering and Applied Sciences at Harvard University, where he worked on robust peer prediction mechanisms with David C. Parkes. Jens received his Ph.D. (2014) and Master’s (2009) degrees in Computer Science from Albert-Ludwigs-Universität Freiburg, Germany.
- Management department
- Professor
- Faculty
Jens Witkowski
Associate Professor of Computer Science and Management
069 154008-875
OFFICE HOURS
During the lecture period
By appointment available upon request via email.
Room
E4.81
OFFICE HOURS
During the lecture period
By appointment available upon request via email.
Room
E4.81