As suicide rates among active-duty service members and veterans continue to outpace rates among the general population, researchers from the USC Viterbi School of Engineering and the USC Suzanne Dworak-Peck School of Social Work have joined forces to use technology to identify, as early as possible, those at risk. The collaboration, as part of the USC Center for Artificial Intelligence in Society, or CAIS, is believed to be one of the first of its kind to use artificial intelligence to model the strength or weakness of military personnel’s social networks to ascertain suicidal thinking, depression and anxiety. The work by the USC interdisciplinary research team will be supported by a $600,000 grant from the Army Research Office. An estimated 8,000 military veterans commit suicide every year, according to a 2012 report issued by the U.S. Department of Veterans Affairs. Additionally, one active-duty member kills himself or herself every 36 hours, according to 2010 statistics from the Centers for Disease Control and Prevention. Team members include: Milind Tambe and Eric Rice, co-founders of the USC Center for Artificial Intelligence in Society Carl Castro, associate professor of the USC Suzanne Dworak-Peck School of Social Work, retired U.S. Army colonel and research director for the USC Center for Innovation and Research on Veterans & Military Families Phebe Vayanos, assistant professor of industrial and systems engineering and computer science and associate director of CAIS. The team hopes to use the lessons learned from their study to increase early interventions for at-risk military personnel and veterans facing acute stress during transitional moments. These include deployment, returning home from service, joining and leaving the military, and transferring to a different duty assignment in the U.S. and abroad.