Samira Barzin is an academic researcher at the Oxford Martin School at the University of Oxford/UK. Based on her experience in economics, engineering and geography, Samira’s research work uses data driven analyses to shed light on topics on the intersection of economic development, cities and environmental factors. For her work, she relies heavily on combinations of spatial and big data, econometrics and machine learning. Her primary research focuses on topics at the nexus of Development Economics, Spatial/Urban Economics, and Environmental Economics, with particular interest in cities of Sub-Saharan Africa and the burden of climate change and environmental/climate change parameters on developing countries and people living in poverty.Methodologically, she is interested in merging traditional econometrics approaches for causality analyses and machine learning algorithm for prediction investigations, especially merging and combining various data from satellite derived data for both computer vision and atmospheric data, geocoded survey data, API queried and webscraped data. Samira holds a PhD from Imperial College London and an MSc from the London School of Economics and Political Science.