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
PUBLICATIONS
Atanasov, P., Witkowski, J., Mellers, B., Tetlock, P., 2025. Crowd prediction systems: Markets, Polls, and Elite Forecasters, International Journal of Forecasting.
Freeman, R., Witkowski, J., Vaughan, J., Pennock, D., 2024. An Equivalence Between Fair Division and Wagering Mechanisms, Management Science Vol. 70(10), pp. 6704-6723.
Freeman, R., Witkowski, J., Wortman Vaughan, J., Pennock, D., 2023. An Equivalence Between Fair Division and Wagering Mechanisms, Management Science.
Witkowski, J., Freeman, R., Vaughan, J., Pennock, D., Krause, A., 2023. Incentive-Compatible Forecasting Competitions, Management Science Vol. 69(3), pp. 1354-1374.
Atanasov, P., Witkowski, J., Ungar, L., Mellers, B., Tetlock, P., 2020. Small Steps to Accuracy: Incremental Belief Updaters Are Better Forecasters, Organizational Behavior and Human Decision Processes Vol. 160 (2020), pp. 19-35.
Frongillo, R., Witkowski, J., 2017. A Geometric Perspective on Minimal Peer Prediction, ACM Transactions on Economics and Computation Vol. 5(3), pp. 1-27.
Freeman, R., Witkowski, J., Vaughan, J., Pennock, D., 2024. An Equivalence Between Fair Division and Wagering Mechanisms, Management Science Vol. 70(10), pp. 6704-6723.
Freeman, R., Witkowski, J., Wortman Vaughan, J., Pennock, D., 2023. An Equivalence Between Fair Division and Wagering Mechanisms, Management Science.
Witkowski, J., Freeman, R., Vaughan, J., Pennock, D., Krause, A., 2023. Incentive-Compatible Forecasting Competitions, Management Science Vol. 69(3), pp. 1354-1374.
Atanasov, P., Witkowski, J., Ungar, L., Mellers, B., Tetlock, P., 2020. Small Steps to Accuracy: Incremental Belief Updaters Are Better Forecasters, Organizational Behavior and Human Decision Processes Vol. 160 (2020), pp. 19-35.
Frongillo, R., Witkowski, J., 2017. A Geometric Perspective on Minimal Peer Prediction, ACM Transactions on Economics and Computation Vol. 5(3), pp. 1-27.
Atanasov, P., Witkowski, J., Mellers, B., Tetlock, P., 2022, Crowd Prediction Systems: Markets, Polls, and Elite Forecasters, in: Proceedings of the 23rd ACM Conference on Economics and Computation (EC'22), pp. 1013-1014.
Atanasov, P., Witkowski, J., Ungar, L., Mellers, B., Tetlock, P., 2020, Small Steps to Accuracy: Incremental Belief Updaters Are Better Forecasters ; Superseded by the OBHDP publication with the same name, in: Michael Ostrovsky, Ariel Procaccia (eds): Proceedings of the 21st ACM Conference on Economics and Computation (EC'20), pp. 873-874.
Witkowski, J., Freeman, R., Wortman Vaughan, J., Pennock, D., Krause, A., 2018, Incentive-Compatible Forecasting Competitions, in: Sheila McIlraith, Kilian Weinberger (eds): Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18), pp. 1282-1289.
Witkowski, J., Atanasov, P., Ungar, L., Krause, A., 2017, Proper Proxy Scoring Rules, in: Shaul Markovitch, Satinder Singh (eds): Proceedings of the 31st AAAI Conference on Artificial Intelligence, pp. 743-749.
Frongillo, R., Witkowski, J., 2016, A Geometric Method to Construct Minimal Peer Prediction Mechanisms, in: Dale Schuurmans, Michael Wellman (eds): Proceedings of the 30th AAAI Conference on Artificial Intelligence, pp. 502-508.
Witkowski, J., Bachrach, Y., Key, P., Parkes, D., 2013, Dwelling on the Negative: Incentivizing Effort in Peer Prediction, in: Björn Hartmann, Eric Horvitz (eds): Proceedings of the 1st AAAI Conference on Human Computation & Crowdsourcing, pp. 190-197.
Witkowski, J., Parkes, D., 2012, A Bayesian Truth Serum for Small Populations, in: Jörg Hoffmann, Kevin Leyton-Brown, Bart Selman (eds): Proceedings of the 26th AAAI Conference on Artificial Intelligence, pp. 1492-1498.
Witkowski, J., Parkes, D., 2012, Peer Prediction without a Common Prior, in: Kevin Leyton-Brown, Panos Ipeirotis (eds): Proceedings of the 13th ACM Conference on Electronic Commerce, pp. 964-981.
Witkowski, J., Seuken, S., Parkes, D., 2011, Incentive-Compatible Escrow Mechanisms, in: Wolfram Burgard (ed): Proceedings of the 25th AAAI Conference on Artificial Intelligence, pp. 751-757.
Witkowski, J., 2010, Truthful Feedback for Sanctioning Reputation Mechanisms, in: P. Grünwald, P. Spirtes (eds): Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, pp. 658-665.
Witkowski, J., 2009, Eliciting Honest Reputation Feedback in a Markov Setting, in: Craig Boutilier (ed): Proceedings of the 21st International Joint Conference on Artificial Intelligence, pp. 330-335.
Atanasov, P., Witkowski, J., Ungar, L., Mellers, B., Tetlock, P., 2020, Small Steps to Accuracy: Incremental Belief Updaters Are Better Forecasters ; Superseded by the OBHDP publication with the same name, in: Michael Ostrovsky, Ariel Procaccia (eds): Proceedings of the 21st ACM Conference on Economics and Computation (EC'20), pp. 873-874.
Witkowski, J., Freeman, R., Wortman Vaughan, J., Pennock, D., Krause, A., 2018, Incentive-Compatible Forecasting Competitions, in: Sheila McIlraith, Kilian Weinberger (eds): Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18), pp. 1282-1289.
Witkowski, J., Atanasov, P., Ungar, L., Krause, A., 2017, Proper Proxy Scoring Rules, in: Shaul Markovitch, Satinder Singh (eds): Proceedings of the 31st AAAI Conference on Artificial Intelligence, pp. 743-749.
Frongillo, R., Witkowski, J., 2016, A Geometric Method to Construct Minimal Peer Prediction Mechanisms, in: Dale Schuurmans, Michael Wellman (eds): Proceedings of the 30th AAAI Conference on Artificial Intelligence, pp. 502-508.
Witkowski, J., Bachrach, Y., Key, P., Parkes, D., 2013, Dwelling on the Negative: Incentivizing Effort in Peer Prediction, in: Björn Hartmann, Eric Horvitz (eds): Proceedings of the 1st AAAI Conference on Human Computation & Crowdsourcing, pp. 190-197.
Witkowski, J., Parkes, D., 2012, A Bayesian Truth Serum for Small Populations, in: Jörg Hoffmann, Kevin Leyton-Brown, Bart Selman (eds): Proceedings of the 26th AAAI Conference on Artificial Intelligence, pp. 1492-1498.
Witkowski, J., Parkes, D., 2012, Peer Prediction without a Common Prior, in: Kevin Leyton-Brown, Panos Ipeirotis (eds): Proceedings of the 13th ACM Conference on Electronic Commerce, pp. 964-981.
Witkowski, J., Seuken, S., Parkes, D., 2011, Incentive-Compatible Escrow Mechanisms, in: Wolfram Burgard (ed): Proceedings of the 25th AAAI Conference on Artificial Intelligence, pp. 751-757.
Witkowski, J., 2010, Truthful Feedback for Sanctioning Reputation Mechanisms, in: P. Grünwald, P. Spirtes (eds): Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, pp. 658-665.
Witkowski, J., 2009, Eliciting Honest Reputation Feedback in a Markov Setting, in: Craig Boutilier (ed): Proceedings of the 21st International Joint Conference on Artificial Intelligence, pp. 330-335.
Witkowski, J., 2014. Robust Peer Prediction Mechanisms, Diss., Freiburg im Breisgau, Albert-Ludwigs-Universität Freiburg.
Witkowski, J., Parkes, D., 2018. The Robust Bayesian Truth Serum.
Witkowski, J.
A Geometric Characterization of Minimal Peer Prediction Mechanisms
Witkowski, J.
Peer Prediction Mechanisms and their Connections to Machine Learning
Witkowski, J.
Proper Proxy Scoring Rules
Witkowski, J.
The Robust Bayesian Truth Serum
A Geometric Characterization of Minimal Peer Prediction Mechanisms
| Erasmus University, Bayesian Crowd Workshop, 2017, Rotterdam. |
Witkowski, J.
Peer Prediction Mechanisms and their Connections to Machine Learning
| Leibniz-Zentrum für Informatik, Dagstuhl Seminar, 2017, Wadern. |
Witkowski, J.
Proper Proxy Scoring Rules
| Forecasting Workshop at EC'17, 2017, Cambridge. |
Witkowski, J.
The Robust Bayesian Truth Serum
| INFORMS General Session, 2017, Houston. |
Witkowski, J.
Quality of Information in Forecasting and Peer Prediction, University of Pennsylvania, 2017/04/01, Philadelphia.
Quality of Information in Forecasting and Peer Prediction, University of Pennsylvania, 2017/04/01, Philadelphia.
Witkowski, J.
Quality of Information in Forecasting and Peer Prediction, Harvard University, 2018/03/01, Cambridge.
Witkowski, J.
Robust Information Elicitation Mechanisms, MIT Sloan School of Management, 2017/02/01, Cambridge.
Witkowski, J.
Robust Information Elicitation, Duke University, CS-ECON Seminar Series, 2015/04/01, Durham.
Quality of Information in Forecasting and Peer Prediction, Harvard University, 2018/03/01, Cambridge.
Witkowski, J.
Robust Information Elicitation Mechanisms, MIT Sloan School of Management, 2017/02/01, Cambridge.
Witkowski, J.
Robust Information Elicitation, Duke University, CS-ECON Seminar Series, 2015/04/01, Durham.
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