News & Events

ARLIS is awarding seed funding to members of the Intelligence and Security University Research Enterprise (INSURE) consortium who pitch applied research projects benefiting the intelligence and security community.The INSURE consortium is led by ARLIS and includes 15 member academic institutions. INSURE’s goal is to support high-impact research for the intelligence and security community.

The University of Maryland received a new contract with a $500 million ceiling from the Department of Defense to support ARLIS. It is the largest research contract in UMD’s history.

A new study from University of Maryland Government and Politics researchers explores the potential of machine-learning models to accelerate research on protests by ethnic groups.The study, “Can AI Reliably Accelerate Research?,” with lead author Henry Overos, an assistant research scientist at ARLIS, compares ChatGPT with other models like BERT and human coders, revealing strengths and limitations. With future studies aiming to fine-tune AI models for coding ethnic group grievances, the article highlights the transformative potential of AI in social change research.

Texas A&M University System and the Bush School, through its partnership with ARLIS, is studying a new lie-detection device using ocular methods to evaluate an individual’s credibility.The device, called EyeDetect, was developed by Converus Inc.Texas A&M University is a member of the ARLIS-led Intelligence and Security University Research Enterprise (INSURE), a consortium connecting member institutions to government missions in need of applied research resources.

What motivates a Soldier to fight?

Dr. Julie Marble joined ARLIS this week as the new core capability lead for Intelligent Human-Machine Systems (IHMS).She has more than 25 years of experience in human-machine teaming, human-robot interaction, and human reliability analysis and holds a PhD in Human Factors and Cognitive Psychology from Purdue University.