Kenneth Cox is a Research Support Associate and form Research Assistant at the MIT Joint Program on the Science and Policy of Global Change. He works with Jennifer Morris on the application of scenario discovery techniques to questions of policy interest, such as the key drivers of renewable energy adoption over the 21^st century. This work uses probabilistic ensembles of the Environmental Policy and Prediction Analysis (EPPA) model to answer these questions in a way that reflects the deep uncertainty present in such complex systems. To simplify the process of scenario discovery analysis of EPPA model data, Kenny has also created a webapp: https://scenariodiscovery.mit.edu/. Kenny holds a bachelor’s degree in biology from the Massachusetts Institute of Technology and has been working with the Joint Program for three years, starting first as a UROP before moving to the full-time research associate position.

Publications

1. Morris, J., Reilly, J., Paltsev, S., Sokolov, A., & Cox, K. (2022). Representing socioeconomic uncertainty in human system models. Earth’s Future, 10(4), e2021EF002239.

2. Vines, A. J., Cox, K., Leland, B. A., & King, M. C. (2022). Homology-directed repair involves multiple strand invasion cycles in fission yeast. Molecular Biology of the Cell, 33(4), ar30.

3. Morris, J. F., & Cox, K. (2024). Application of Scenario Discovery Techniques to Probabilistic Ensembles in Exploration of Energy Futures. AGU23. (Pending)

4. Kanyako, F., Lamontagne, J., Snyder, A., Morris, J., Iyer, G., Dolan, F., ... & Cox, K. (2024). Compounding uncertainties in economic and population growth increase tail risks for relevant outcomes across sectors. Earth’s Future, 12(1), e2023EF003930.