Most of my research is qualitative, but when called for, I use quantitative methods like GIS and large survey data analysis. For example, in one study on the siting of proposed pipelines in the US, me and my colleagues combined data from the US Census with digitized pipeline routes publicized in various media. We found that, unlike other components of the fossil industry, proposed pipelines do not disproportionally target vulnerable communities. But intransparancy around pipeline proposals make it difficult to predict the impact of actually build pipelines.

In a different study, I contributed to studying the impacts of climate anomalies on population in Sub-Saharan Africa. For this project, I analyzed large datasets from the Demographic and Health Survey linked to high-resolution historical climate records. We showed that women exposed to above-average temperatures report lower ideal family size and reduced probability of desiring a first or additional child. We also found that precipitation anomalies have significant and non-linear effects on child weight, with sharp increases in thinness under dry conditions and minimal benefits to above-average precipitation.