Frances Moore

Frances Moore

Position Title
Assistant Professor

Unit
Environmental Science and Policy


Bio

Moore, an assistant professor in the Department of Environmental Science and Policy, focuses on the intersection of environmental economics and climate science. Moore completed her Ph.D. in the Emmett Interdisciplinary Program in Environment and Resources at Stanford University before joining UC Davis faculty in 2016.

Research interests:

Social and economic impacts of climate change; agriculture and food security; climate change policy and adaptation; environmental economics; econometrics; inference and decision-making under uncertainty; risk management; integrated assessment modeling; detection and attribution of climate change impacts.

Brief overview:

What will climate change mean for people and the things they value? My research, at the intersection of environmental economics and climate science, seeks to answer that question. Though we have an increasingly sophisticated understanding of how greenhouse gas emissions will change the climate in the 21st century, we are only beginning to understand the social and economic consequences of those changes. I work to quantify these impacts, particularly in the agricultural sector: How will changes in temperature and rainfall affect crop yields and what will those changes mean for food prices and food security?

A major part of my work involves better understanding how people and societies will be able to adapt to climate change. I use a multi-method, interdisciplinary approach to answer these questions, combining econometric analysis, experimental approaches, climate-model output, and economic modeling.

Current projects:

  • Quantifying the economic impacts of climate change effects on agriculture
  • Improving the scientific foundation of climate change damages in economic models
  • Determining the rate and effectiveness of adaptation to climate change in agriculture
  • Characterizing farmer response to the recent drought in California
  • Statistically detecting the effect of climate change on social and economic systems
  • Modeling learning in a changing climate
  • Understanding the neural basis of environmental preferences

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