In an era of big data, governments, not-for-profit organizations, and companies are building increasingly sophisticated data-driven models to improve how they respond to natural and man-made disasters. One such organization is disaster response and veteran reintegration organization, Team Rubicon. In this webinar, Stephen Hunt, Chief Information Office at Team Rubicon USA, will discuss Team Rubicon's data-driven disaster response model. Using practical case studies, Stephen will explain Team Rubicon's information management framework and how their model uses decision-quality information, derived from field and census data, to enable economies of scale in disaster response.
Speaker: Stephen Hunt, Chief Information Officer, Team Rubicon USA
Stephen Hunt is responsible for the vision and implementation of Team Rubicon's evolving technical capabilities. In recent years, he was lured from the laboratory back to a life closer to the ground where he could apply both his engineering and field skills to help people in need. Steve spent many years in roles that included scientist, engineer, infantryman, manager, and construction worker. He has degrees in Physics (B.S.), Astronomy (M.A.) and a PhD in Electrical Engineering. He was a paratrooper with the 82nd Airborne and a reservist and spent 25 years at MIT Lincoln Laboratory working in support of US national interests. He has extensive experience in systems engineering/analysis, program management, operations, and technical R&D.