Recent advances in computing and data availability have allowed researchers to draw conclusions linking climatic events to social outcomes. FIRE Sustainability Analytics uses quantitative methods to understand the socioeconomic consequences of climate change and the unintended consequences of change-mitigating policies.

Research methods involve combining various sources of satellite data to analyze physical and societal changes. The 2019 cohort is studying how commercial fishers under different management regimes respond to the 2015 El Niño by combining sea surface temperature data from NOAA and live vessel tracking data from Global Fishing Watch.


The Intergovernmental Panel on Climate Change (IPCC), forecasts that a temperature rise of 2.5 to 10 degrees Fahrenheit over the next century. As climate change has been having increasing observable effects on the environment, a multidisciplinary renaissance of quantitative research has begun to establish the linkages of climate on health, food security, and the economy. This field of research can evaluate the effects and policy consequences in the past to help inform policies in the future.


Through using the computing language R, students will immerse themselves in a multidisciplinary field of research; mixing data and methods from the climate, social, and statistical sciences. They will learn to interpret, communicate, and visualize their results; in the form of graphs and maps. Students will also learn to critically evaluate scientific arguments and current policies.

University of Maryland

Office of the Senior Vice President and Provost

The First-Year Innovation & Research Experience

Dr. Patrick Killion

Director of Discovery-Based Learning

Email: pkillion@umd.edu

Tel: 301-405-0057