Research
We collectively use tools from economics (including econometrics, dynamic optimization) and
computer science (including machine learning) to understand the magnitude and nature of environmental challenges and the efficacy of proposed solutions.
We collectively use tools from economics (including econometrics, dynamic optimization) and
computer science (including machine learning) to understand the magnitude and nature of environmental challenges and the efficacy of proposed solutions.
Shared interests
Sample of recent work
Little evidence of avoided yield loss in US corn when short-term forecasts correctly predict extreme heat
Environmental Research Letters (2023)
SJ Miller, E Clarke, SL Mathews
Dry spells and global crop production: A multi-stressor and multi-timescale analysis
Ecological Economics (2023)
U Jarrett, S Miller, H Mohtadi
When and where to protect forests
Nature (2022)
IH Luby, SJ Miller, S Polasky
Heat waves, climate change, and economic output
JEEA (2021)
S Miller, K Chua, J Coggins, H Mohtadi