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.

Shared interests

Sample of recent work

Statistical downscaling differences strongly alter projected climate damages

Communications Earth & Environment (2025)
S Miller, N Ormaza-Zulueta, N Koppa, A Dancer

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