*DIMACS 2021 Workshop on Forecasting: From Predictions to Decisions*

*Call For Participation*



Following the successful EC 2017 Workshop on Forecasting, the *DIMACS 2021
Workshop on Forecasting
<http://dimacs.rutgers.edu/events/details?eID=1531> will be held online
March 17-19, 2021*.  You must register
<http://dimacs.rutgers.edu/ws-materials/forecasting21> to attend.
Registration is free and open.


Invited talks include:



*How to Increase the Accuracy of Human Forecasts and Check the Reasons for
Improvement*

*Barbara Mellers*, University of Pennsylvania
*Ville Satopää*, INSEAD


*A Heuristic for Combining Correlated Experts**Yael Gruska-Cockayne*,
University of Virginia


*Predicting Replication Outcomes**Anna Dreber*, Stockholm School of
Economics


*Information, Incentives, and Goals in Election Forecasts**Andrew Gelman*,
Columbia University


*Models vs. Markets: Forecasting the 2020 U.S. election**Harry Crane*,
Rutgers University



The workshop will also feature several other contributed talks, contributed
posters, and a panel of Forecasting Startup Founders. The full program is
available on the workshop website
<http://dimacs.rutgers.edu/events/details?eID=1531>. We welcome you to
attend.


Recent advances in crowdsourced forecasting mechanisms, including Good
Judgment’s superforecasting, prediction markets, wagering mechanisms, and
peer-prediction systems, have risen in parallel to advances in machine
learning and other data-driven forecasting approaches. Innovations have
come from academic researchers, companies, data journalists, and government
programs like IARPA’s Aggregative Contingent Estimation program and Hybrid
Forecasting Competition.



The workshop will highlight forecasts embedded inside decision-making
systems, where the value of a forecast comes from increasing the expected
utility of a key decision. Our ultimate goal is to modernize organizations,
markets, and governments by improving how they collect and combine
information and make decisions.



*Organizing Committee*



Raf Frongillo, University of Colorado

David Pennock, Rutgers University

Bo Waggoner, University of Colorado



*Workshop Website*

http://dimacs.rutgers.edu/events/details?eID=1531
_______________________________________________
uai mailing list
uai@engr.orst.edu
https://it.engineering.oregonstate.edu/mailman/listinfo/uai

Reply via email to