Below are some of the past and current research programs of IARPA.
Past research •
Aggregative Contingent Estimation (ACE) Program aimed "to dramatically enhance the accuracy, precision, and timeliness of intelligence forecasts for a broad range of event types, through the development of advanced techniques that elicit, weight, and combine the judgments of many intelligence analysts." • ATHENA Program was a research program about cybersecurity. It aimed "to provide an early warning system for detecting precursors to cyberattacks". •
Babel Program developed "agile and robust speech recognition technology that can be rapidly applied to any human language in order to provide effective search capability for analysts to efficiently process massive amounts of real-world recorded speech". The program tried to develop software that could transcribe and search among all the languages. • Biometrics Exploitation Science & Technology (BEST) Program focused on trying to "significantly advance the state-of-the-science for
biometrics technologies". It was to discover techniques on utilizing biometrics from a subject in a less controlled environment which could produce a similar result to that in a controlled environment. •
Synthetic Holographic Observation (SHO) Program's stated goal was "to enable full-parallax, full-color, high-resolution display of dynamic 3D data without head-gear, and possessing visually continuous perspectives without artifacts over wide viewing angles."
Current research • Creation of Operationally Realistic 3-D Environments (CORE3D) aims to "develop rapid automated systems for
3-D models which are designed with complex physical properties and automated methods that will pull commercial, satellite, and airborne imagery." •
Crowdsourcing Evidence, Argumentation, Thinking and Evaluation (CREATE) Program is about "to develop, and experimentally test, systems that use crowdsourcing and structured analytic techniques to improve
analytic reasoning". It hopes to improve the intelligence community's ability to better understand evidence and sources in order to produce accurate information. • Deep Intermodal Video Analytics (DIVA) aims to "advance state-of-the-art artificial visual perception, and automate video monitoring." • Functional Genomic and Computational Assessment of Threats (Fun GCAT) aims to "develop next-generation biological data tools to improve
DNA sequence screening, augment biodefense capabilities through the characterization of threats, and advance our understanding of the relative risks posed by unknown sequences." • Hybrid Forecasting Competition (HFC) aims to "improve accuracy in predicting worldwide geopolitical issues, including foreign political elections, interstate conflict, disease outbreaks, and economic indicators by leveraging the relative strengths of humans and machines." • Machine Translation for English Retrieval of Information in Any Language (MATERIAL) aims to "develop and deploy fully automatic systems that will allow English-only speakers to accurately and efficiently identify foreign language documents of interest." • Molecular Analyzer for Efficient Gas-phase Low-power Interrogation (MAEGLIN) aims to "develop a compact system capable of unattended environmental sampling and chemical identification with minimal (preferably no) consumables." • Multimodal Objective Sensing to Assess Individuals with Context (MOSAIC) Program aims to develop "unobtrusive, passive, and persistent measurement to predict an individual’s job performance". It designs and tests
sensors that can collect data about monitoring employees' work performance. • Rapid Analysis of Various Emerging Nano-electronics (RAVEN) aims to "develop tools to rapidly image current and future
integrated circuit chips." • Space-based Machine Automated Recognition Technique (SMART) program. == Directors ==