A convolutional neural network approach to predict non-permissive environments from moderate-resolution imagery

2022

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2021

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2020

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2019

Satellite Data Poisoning Project (SDPP)

As the volume of satellite imagery has increased, so too has our need to use machine learning models to mine that data for meainingful, decision-relevant inf...

Global Education Observatory

The Global Education Observatory focuses on collecting, disseminating, and imputing information about school test scores in underserved environments. Our st...

geoInt

The geoInt project focuses on better understanding the evolution of international actors programs using high resolution satellite imagery. Through qualitati...

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2018

geoBoundaries

Produced and maintained by the William & Mary geoLab since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database is an ...

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2017

geoFellows

The geoFellows program has three core goals, focused on increasing the diversity of leaders in the computational sciences:

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