Cale is a Public Policy Ph.D. with more than a decade of experience managing projects, teams, and people. Expertise in conducting rigorous quantitative analysis of green technology diffusion – including complexity-focused computational modeling. Field knowledge of global and United States domestic energy systems and policy. Technical, communications, and capacity-building skills. Passionate about uncovering and applying data-driven insights. In his research, he explores the individual-level decision-making processes that drive emergent policy outcomes, focusing mainly on understanding the green technology adoption/diffusion system. As a computational social scientist, he enjoys applying cutting-edge methods such as agent-based modeling and natural language processing to problems that require broad systems-aware approaches, thus contributing to the search for solutions for so-called “wicked problems” like climate change. He hopes to understand how the exchange of information within social networks can be explicitly leveraged in intervention designs to achieve more effective programs and more efficient policy.
When he is not at school, Cale is probably either fixing a 1969 Triumph 500 or riding a 2016 Zero DSR.
Ph.D. 2019, The University of Texas at Austin
MPA 2014, Indiana University
BSPA 2013, Indiana University