Oct 13, 2023  –  Oct 13, 2023  | 

BITSS Workshop: Forecasting in the Social Sciences

Led by Stefano DellaVigna (UC Berkeley) and Eva Vivalt (The University of Toronto), the 2023 workshop will bring together leaders from across academic disciplines to present new research findings, share knowledge, and continue charting a path forward for prediction in the social sciences. We are eager to showcase how the Social Science Prediction Platform, which has over 4,500 completed forecasting surveys for over 50 projects, is facilitating the collection and cataloging of forecasts for the broader research community.

The event will feature Anna Dreber (Stockholm School of Economics), Philip Tetlock (University of Pennsylvania), and Barbara Mellers (University of Pennsylvania) as the keynote speakers and we’re looking forward to a great day full of interesting papers and conversations!

Call for Abstracts

We invite the submission of abstracts (500-1000 words) or completed papers in all aspects of forecasting and prediction, including but not limited to work that spans labor economics, development economics, behavioral sciences, political science, and more. Topics may include, but are not limited to:

  • Research papers involving forecasting
  • Forecasting within institutions and organizations
  • Financial forecasting
  • Replication and prediction markets
  • Eliciting subjective expectations

Eligible projects include completed works, work in progress, and prospective work. All submissions are due by Friday, June 16, 2022 (11:59 PM Pacific Time). Notifications of acceptance will be sent by the end of June 2023.

See the full call for papers here.


Code of Conduct

BITSS is dedicated to a harassment-free event experience for everyone. Our Code of Conduct can be found here.


Reach out to Grace Han (grace.han24@berkeley.edu) with any questions about this event. Stay tuned into the BITSS Newsletter and Twitter account, as well as the Social Science Prediction Platform Twitter account, for updates!