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INTEREST CATEGORY: MARKETING RESEARCH
POSTING TYPE: Calls: Conferences

Posted by: Jens Witkowski

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Call For Papers

DIMACS 2024 Workshop on Forecasting

Following the successful iterations at and we seek submissions to the DIMACS 2024 Workshop on Forecasting. The workshop will be held on October 14, 2024, at Rutgers University New Brunswick, NJ, co-located with the 8th International Conference on Algorithmic Decision Theory (ADT 2024)

We welcome submissions describing recent research on crowd-sourced, data-driven, or hybrid approaches to forecasting.

In this workshop, we will bring together computer scientists, economists, statisticians, and decision scientists, some who develop theories of forecasting and others who study it empirically. We invite academics together with practitioners who build forecasting platforms, operate forecasting competitions, and publish predictions. Our primary focus is on what happens after predictive models have been trained or formed; that said, still in scope are data-driven and machine-learning-based techniques that aggregate forecasts and other information to harness the so-called wisdom of the crowd.

Topics of interest for the workshop include but are not limited to:

1. Incentives in forecasting: methods for eliciting truthful and accurate forecasts or information. Incentive mechanisms for information gathering; monetary rewards, competition mechanisms, and implicit reward mechanisms, in both online and batch settings.
2. Forecast evaluation: methods to identify elite forecasters for accuracy-weighted averages or smaller, more selective crowds; evaluating complex probabilities including conditionals, continuous random variables, and exponentially large joint distributions.
3. Forecast aggregation: combining multiple forecasts, including crowdsourced human judgments and data-driven predictions.
4. Prediction markets and related mechanisms: design of prediction market architectures, automated market makers, design of options and derivatives for eliciting information, extracting information from existing financial and gambling markets; wagering mechanisms and other group forecasting mechanisms.
5. Behavioral aspects of forecasting: correcting biases and handling boundedly rational forecasters.
6. Visualization and communication: interfaces to display and elicit information, and other best practices for communicating uncertainty and educating the public about forecasts.
7. Fielded platforms and systems: forecasting in support of decision making by companies, organizations, or governments.

We invite both full contributions and poster contributions. A full contribution is an unpublished or recently published research manuscript. A poster contribution can be a preprint, a recently published paper, an abstract, or a presentation file. Preference may be given to more recent and unpublished work. We especially encourage poster contributions from students and postdocs.

Please submit your contributions using the link

by July 26, 2024. The workshop is non-archival, meaning contributors are free to publish their results later in archival journals or conferences. Email questions or suggestions to the organizers.

The workshop will include invited and contributed talks, open and/or panel discussion, and a poster session. Workshop registration will be open.

Important Dates

Submissions due: Friday, July 26, 2024 (AoE)
Notifications: Friday, August 9, 2024
Workshop Date: Monday, October 14, 2024

Organizing Committee

Raf Frongillo, University of Colorado Boulder
David Pennock, Rutgers University
Jens Witkowski, Frankfurt School of Finance & Management