Open Source Indicators (OSI)
The OSI Program aims to develop methods for continuous, automated analysis of publicly available data in order to anticipate and/or detect significant societal events, such as political crises, humanitarian crises, mass violence, riots, mass migrations, disease outbreaks, economic instability, resource shortages, and responses to natural disasters. Performers will be evaluated on the basis of warnings that they deliver about real-world events. If successful, OSI methods will “beat the news” by fusing early indicators of events from multiple publicly available data sources and types.
Performers (Prime Contractors)
HRL Laboratories, LLC; Raytheon BBN Technologies; Virginia Polytechnic University
Related Program(s)
Research Area(s)
- Large, errorful data sets
- Forecasting
- Public health
- Machine learning
Related Publications
To access OSI program-related publications, please visit Google Scholar.
Related Article(s)
- What IARPA Knows About Your Canceled Dinner Reservation
- Military-Funded Study Predicts When You’ll Protest on Twitter
- IC embraces open source intel, even if it is double-edged
- SourceSeer: Forecasting Rare Disease Outbreaks Using Multiple Data Sources
- Can the Military Make a Prediction Machine?
- The EMBERS Project Can Predict the Future With Twitter
- Can We Predict the Next War?
- U.S. Intelligence Community Explores More Rigorous Ways to Forecast Events
- The New Thing in Google Flu Trends Is Traditional Data
- Brazil riots predicted by U.S. Intelligence Research Project
