L3Harris Technologies (NYSE:LHX) received an Intelligence Advanced Research Projects Activity (IARPA) contract to provide technology, including modeling and simulation studies, that will help characterize and predict human mobility.
Supporting the Hidden Activity Signal and Trajectory Anomaly Characterization (HAYSTAC) program, L3Harris will lay the groundwork for generating and analyzing human activities that produce data captured by GPS, Bluetooth and other systems. The goal of the modeling and simulation research is to help transform future autonomous systems.
“Over the last four decades, L3Harris has developed and perfected its modeling and simulation analysis capabilities, which is why L3Harris is an artificial intelligence and machine learning industry leader in delivering mission-critical sensemaking solutions that understand and analyze big data,” said Ed Zoiss, President, Space and Airborne Systems, L3Harris. “Our world-class research team also includes small business and academic experts who are poised to make breakthroughs in developing a system to characterize and predict human mobility.”
Market forecasts by Region, Component, Simulator, Type, Service, Software, Hardware, and by End-User. Market and Technology Overview, Market Dynamics, Impact and Opportunity Analysis, and Leading Companies
Download free sample pages More informationThe L3Harris team will use simulated information to develop complex models mirroring realistic human behavior and social networks such as how people move throughout the world and interact with each other. The solutions will aid the intelligence community and the Department of Defense in identifying subtle anomalies when developing response options for real-world scenarios – from conflicts and humanitarian events to environmental crisis.
“While bringing HAYSTAC to fruition will be a multi-year process, once it’s complete, we’ll have reframed how we look at activity in the world,” said IARPA’s HAYSTAC Program Manager Dr. Jack Cooper. “And it won’t be a static concept of where things are on a map, but a dynamic one based on how they’re moving and what’s out of the ordinary.”
L3Harris is developing this technology in Melbourne, Florida; Rochester, New York; and Herndon, Virginia. Phase one of the HAYSTAC program is projected to end in late 2024 and subsequent phases are anticipated to end in the next three to four years.
