The geoLab has four core projects we support annualy in support of our goals.
The largest open license spatial database that records the geographic boundaries of administrative zones.
Collects, integrates, provisions and analyzes ancillary data for every geoBoundary administrative zone.
|Collects event-based information on where activities are happening around the world, and geocodes them to create open spatial datasets.|
|Conducts machine learning and creates software in support of the other three projects.|
The geoLab supports a number of Ph.D. students to conduct basic research into fundamental questions.
|Seth Goodman||Analysis and Estimation of Socio-economic Variables using Satellite Imagery and Convolutional Neural Networks||2017-Present|
|Karim Bahgat||Automated Semantic Matching and Georeferencing for Hard-copy Georeferenced Documentation||2018-Present|
|Jianing Zhao||Quantifying and Explaining Causal Effects using Causal Tree Algorithms||2015-2018|
The geoLab conducts a number of targetted projects led by undergraduate researchers.
|Rebecca Youngerman||Kenyan Healthcare: an Index Approach||2018-2019|
|Mollie Gaines||A climate index approach to measuring vulnerability in South Africa||2018 - 2019|
|Graham Melville||Nuru International: Identifying receeding conflict zones based on vegetation||2018-2019|
|Lauren Hobbs||GRID3: Identifying sub-national boundaries||2018-2019|