ForeST

Forecasting Science & Technology
ForeST

Summary

The goal of the ForeST Program is to develop and test methods for generating accurate forecasts for significant science and technology (S&T) milestones, by combining the judgments of many experts. The ForeST Program seeks technical innovations in the following areas: a) efficient elicitation and aggregation of judgments using combinatorial prediction markets; b) generation of S&T forecasting questions from indicators within the scientific and patent literatures; c) methods for crowdsourcing question development and resolution with over 10,000 scientists and engineers, globally. As part of this program, ForeST-funded researchers manage the world’s largest S&T forecasting tournament, SciCast, generating public forecasts for hundreds of real-world S&T events. The ForeST Program directly leverages the programmatic and technical achievements of IARPA’s ACE and FUSE programs.

Related Publications

To access ForeST program-related publications, please visit Google Scholar.


Contact Information

Program Manager

Main Office

Research Area(s)

Big data, Forecasting, Human judgment, Machine learning , Natural language processing

Related Program(s)

Broad Agency Announcement (BAA)

Solicitation Status

CLOSED

Prime Performers

  • BAE Systems
  • George Mason University
  • SRI International

Additional Information