Forecasting Science & Technology


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.

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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)

Link(s) to BAA

Solicitation Status


Prime Performers

  • BAE Systems
  • George Mason University
  • SRI International

Additional Information