A Few Current Research Interests …

Structural Uncertainty and Sensitivity Analysis

Exploring structural uncertainty, sensitivity analysis, and decision-making under deep uncertainty in the context of integrated assessment, simple climate, and sea-level rise models.

  • “Robustness to Deep Uncertainties Drives More Rapid Emissions Reductions.” (Submitted)

  • “Rapid decarbonization reduces but does not eliminate risk of extreme sea level rise due to uncertain Antarctic Ice Sheet marine instability.” (preprint)

  • “Sea Level and Socioeconomic Uncertainty Drives High‐End Coastal Adaptation Costs.” Earth's Future, 10(12) (2022) (publication)

  • GlobalSensitivityAnalysis.jl package (Github repository) 

Greenhouse Gas Impact Value Estimator (GIVE) Model and SC-GHGs

An open-source, state-of-the-art integrated assessment model incorporating updated scientific understanding throughout all components of social cost of greenhouse gas estimation in a manner fully responsive to the near-term National Academies of Sciences 2017 recommendations.

  • “Equity weighting increases the social cost of carbon.” Science 385.6710 (2024): 715-717. (publication)

  • “Comprehensive evidence implies a higher social cost of CO2.” Nature 610.7933 (2022): 687-692. (publication)

  • "The social costs of hydrofluorocarbons and the benefits from their expedited phase-down." Nature climate change 14.1 (2024): 55-60. (publication)

  • "The social cost of carbon: advances in long-term probabilistic projections of population, GDP, emissions, and discount rates." Brookings Papers on Economic Activity 2021.2 (2022): 223-305. (publication)

  • The GIVE Model (Github repository)

Building Programming Tools for Climate Change Research and Policy

Using tools from human-computer interaction and programming language design to study and build programming tools for researchers and policy-makers in the climate change domain.

  • Ongoing work with the PLAIT lab focused on programming tools for data science as applied to the environmental and climate change fields

  • "How domain experts use an embedded DSL." Proceedings of the ACM on Programming Languages 7.OOPSLA2 (2023): 1499-1530. (publication)

Mimi.jl

Mimi is an open-source computational modeling platform used widely in climate economics research and policy-making. Written in Julia, this macro-based domain specific language streamlines modeling, collaboration, and replication while at the same time exposing the full power and performance of the Julia language.

  • “Mimi.jl: A Computational Modeling Platform to Support Climate Economics Research.” (Drafting)

  • "MimiBRICK. jl: A Julia package for the BRICK model for sea-level change in the Mimi integrated modeling framework." Journal of Open Source Software 7.76 (2022): 4556. (publication)

  • The Mimi.jl Package (homepage)