Sustainable Development, Space Technology, and Data Science
Abstract
Development is strikingly uneven — disparities in living standards appear not only across countries but within them, and these gaps often persist over decades to form robust geospatial patterns. This invited lecture asks when, where, and why development happens, and how such disparities can be measured, predicted, and explained. It shows how the convergence of geospatial big data — especially satellite imagery such as nighttime lights — with development economics and spatial econometrics opens new opportunities to study the geography of development at fine spatial resolution. Drawing on applied examples, the lecture illustrates how earth observation data can complement traditional socioeconomic statistics to monitor regional development, and it highlights accessible tools and workflows for turning satellite images into economic insight.
The exact venue and time will be announced soon.
Carlos Mendez
Associate Professor of Development Economics
My research interests focus on the integration of development economics, spatial data science, and econometrics to better understand and inform the process of sustainable development across regions.