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data analysis, programming, environmental science, public policy, economics


Key Points:

  • Impact assessment of regulations and/or human behaviors on the environment

  • Methods from environmental studies, data science, and economics

Detailed Description:

Recent advances in computing and data availability have allowed researchers to draw conclusions linking environmental factors to social outcomes. FIRE Sustainability Analytics draws methods from economics, data science, and geography to understand the socioeconomic consequences of climate change and environmental regulations.


Key Points:

  • Various policies or actions can have intended and unintended consequences.

  • By analyzing data from the past, we can help inform future policymaking.

Detailed Description:

The degrading environment, such as global warming, is one of humanity’s most urgent problems. New policies are being proposed to solve and mitigate the problem. However,  policies or actions can have intended and unintended consequences. By studying the impact of past environmental phenomena and regulations, we can help inform policymakers to make better decisions in the future.


Key Points:

  • Interdisciplinary teamwork

  • Consequences of policymaking

  • Data literacy; ability to read, understand, create, and communicate data as information

  • Spatial and statistical analysis

  • Programming in R

Detailed Description:

FIRE Sustainability Analytics teaches students the programming language R from square zero. Students will learn to wrangle and analyze data, as well as visualize them in the form of graphs and maps.

Students with different majors will work together in a multidisciplinary environment and apply their strengths to answer research questions. Students will learn to critically evaluate scientific research and communicate scientific outcomes to different audiences. 

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