Clark School Home UMD

ISR News Story

Subrahmanian software featured in Science


Science magazine is featuring the research of ISR-affiliated Professor V.S. Subrahmanian (CS/UMIACS) in a story that details how the U.S. military has tried to integrate cultural, behavioral, and economic aspects of an adversary into its battle plans.

Subrahmanian and his colleagues have developed software tools to extract specific information about violent incidents from various news sources. They then use that information to tease out rules about the enemy's behavior.

For example, an analysis of strikes carried out by Hezbollah, the terrorist group in Lebanon, showed that the group was much more likely to carry out suicide bombings during times when it was not actively engaged in education and propaganda. The insight could potentially help security forces predict and counter suicide attacks.

"This is a very coarse finding, not the last word by any means," cautions Subrahmanian, adding that a lot more data and analysis would be needed to refine that rule as well as come up with other, more useful ones.

Subrahmanian directs the University of Maryland's Institute for Advanced Computer Studies (UMIACS).

April 30, 2007


Prev   Next

 

 

Current Headlines

Can Cascading Pools Help Restore the Chesapeake Bay?

Maryland students place third in autonomous drone race

Bhattacharyya awarded NIH Grant to Explore Real-time Neural Decoding for Calcium Imaging

UMD Transportation Experts Awarded $1 Million DOE Grant to Reduce Transportation Energy Use and Emissions

With Engineering Projects, UMD Students Seek to Boost Education Access, Public Health, and Sustainability

Maryland Robotics Center students participate in FAA STEM outreach event

Shoukry, Krishnaprasad receive NSF grant for resilient-by-cognition cyber-physical systems

Maryland Robotics Center sponsors grad student project on robotics in farming

UMD researchers awarded $1M NSF grant to develop new methods to generate single photons for quantum research

NSF funds Shamma, Espy-Wilson for neuromorphic and data-driven speech segregation research

News Resources

Return to Newsroom

Search News

Archived News

Events Resources

Events Calendar