Abstract: Faster evolving technologies, new peer adversaries, and the increased role of non-government entities changes how we think about decisions to develop and adopt new technology. Uncertainties about technology “shelf life,” adversary intentions, and dual uses of technology complicate these decisions. This seminar will discuss the use of mathematical models and optimization methods to provide insight on technology policy issues. These issues include: balancing risk and affordability during technology research and development; timing technology adoption; and understanding adversary responses to new technologies. Examples will be discussed from offensive cyber operations and synthetic biology. We will conclude by discussing implications for how policy analysts and policy makers think about technology and security.
About the Speaker: Philip Keller is a National Defense Science and Engineering Graduate Fellow at Stanford. He is completing his PhD in Management Science & Engineering. He studies technology policy problems posed by new technologies. His research is highly interdisciplinary, drawing on methods from engineering risk and decision analysis, game theory, and operations research. His professional experience includes conducting studies and analysis for the Department of Defense and the Department of Homeland Security at RAND and the Homeland Security Studies and Analysis Institute. Previous study topics include unmanned aircraft operations; nuclear terrorism; offensive cyber operations; and military force structure. Philip holds a BS in Mathematics and an MS in Defense and Strategic Studies.