Summary
Kelly Claborn is a research officer and environmental social scientist with nine years of experience applying quantitative social science and computational modeling to conservation and climate decision-making. She holds a PhD from Arizona State University and has led data-driven initiatives at World Wildlife Fund, including building outcomes-focused dashboards and forecasting impacts with Bayesian networks and agent-based models. Kelly combines expertise in complex adaptive systems, governance, and human behavior with practical skills in R (data wrangling, visualization, RShiny) and database management to turn messy data into actionable insights. At Sequoia Climate Foundation she continues to bridge research and practice, bringing an interdisciplinary lens informed by anthropology and conservation evidence. Notably, her work emphasizes how language and institutional design shape environmental outcomes, a less obvious through-line that links her modeling to real-world policy relevance.
9 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Environmental Social Sciences & Complex Adaptive Systems Science, Doctor of Philosophy - PhD, Environmental Social Sciences & Complex Adaptive Systems Science at Arizona State University
Master’s Degree, Environmental Science, Master’s Degree, Environmental Science at The Ohio State University