Argonne Lunch Seminar: Research Careers in Energy Security, Homeland Security, and Emergency Management at the U.S. Department of Energy National Laboratories.
The seminar will be held 12:45 p.m.—2:30 p.m. Nov 6, 2019 at Pritzker Science Building (PS 152).
David Brannegan, the director of the Decision and Infrastructure Sciences (DIS) Division at Argonne, and Kyle Pfeiffer, manager of the National Preparedness Analytics Group at Argonne, will be discussing the future direction of research for faculty and students.
Interest for: Faculty/Student/Post Doctorate/Collaboration: Oil/Natural Gas and Petroleum Engineering, Electrical Engineering, Cybersecurity, Emergency Management/Homeland Security, Operations Research, and Statistics.
The global community is experiencing disasters of increasing complexity, intensity and frequency. Urbanization, rapid population growth, a widening wealth gap, climate change, and technology adoption all influence the disaster risk landscape and survivor outcomes. Adversaries are rapidly changing the nature of conflict by using hybrid warfare methods such as social influence campaigns, sabotage, and other non-kinetic means to destabilize the US and our allies. These attacks exploit our increasing connectivity and democratic institutions in order to achieve strategic political outcomes or, when carried out by criminal actors, to obtain financial gain. Argonne National Laboratory (Argonne), a United States Department of Energy Laboratory located outside of Chicago, supports government decision-makers, private sector infrastructure owners and operators, nonprofit partners, academic institutions, and other sponsors in addressing these issues through the conduct of applied research spanning the energy security, homeland security, and emergency management landscape.
Special opportunity for Faculty: Prior to the group seminar, David Brannegan or Kyle Pfeiffer are accepting meetings with faculty members to discuss opportunities in applied security research fields. In the RSVP form, faculty can register for a time slot.