• Automated data processing and analysis of the relationship between CO2 emissions, GDP, and various types of energy use at the country and regional levels using a carbon accounting identity• Quantified the relationship between investments in cleaner energy sources and investments in final use energy efficiency• Analyzed data on fossil fuel reserves and cumulative extraction costs to determine the world’s price elasticity of supply for fossil fuels

• Located and analyzed data on NYC zoning variances, using Stata to merge variance and census data and run regressions to identify biases in the zoning board approval process• Summarized the zoning regressions with an eighteen-page report, outlining the relationships between demographics and the variance approval process• Reached out to charities nation-wide to conduct a survey to identify their opinions and policies regarding in-kind donations and donations with donor restrictions• Located and compiled nation-wide charity statistics and displayed them in an accessible manner