In this article, we present a case study estimating school test scores based solely on publicly available imagery in both the Philippines (2010, 2014) and Br...
In this paper, we present a test of the use of transfer learning in convolutional neural networks in conjunction with high resolution satellite imagery of ro...
This Tearline article discusses findings from a project which utilizes open-source data collection and imagery analysis to study the impacts of Chinese devel...
This Tearline article examines evidence of six Chinese BRI hydroelectric power projects in Bolivia.
The article uses the Chinese financing of sustainable energy projects in Cuba as a case study, analyzing why energy projects have been sustainable in Cuba an...
Across seven BRI port projects in Central America and the Caribbean, we find evidence that the project partnerships between China and recipient countries var...
This article explores a CNN-based approach leveraging Landsat 8 imagery to predict locations of conflict-related deaths.
his study uses remote sensing ocean color products to evaluate the impact on reducing marine pollution of the Global Environment Facility’s (GEF) portfolio o...
In this brief overview of an article recently published in the journal Sustainability, we showcase one way we’re engaged with continuing operations while und...
Leveraging a novel database on the geographic location of GEF project interventions in Uganda, this paper explores the impact of GEF projects on household as...
This study is the first Value for Money analysis undertaken by the IEO to assess the impact and global environmental benefits of GEF investments and technica...
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...
Core Contribution - Improving our understanding of the highly non-linear impact of climate on human migratory decisions across multiple countries in Latin Am...
The Global Education Observatory focuses on collecting, disseminating, and imputing information about school test scores in underserved environments. Our st...
The geoInt project focuses on better understanding the evolution of international actors programs using high resolution satellite imagery. Through qualitati...
The Climate Intervention Effectiveness Programme conducts analyses (and collects data) to help better inform global climate change mitigation efforts. CIEP ...
Highlight of the geoQuery data platform by HPCWire.
Deep learning techniques have revolutionized a number of fields, predominantly based on research from the computer vision community. The vast majority of li...
The fourth iteration of our original dataset.
Studying health outcomes related to environmental interventions.
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...
Core Contribution - Improving our understanding of the highly non-linear impact of climate on human migratory decisions across multiple countries in Latin Am...
The Global Education Observatory focuses on collecting, disseminating, and imputing information about school test scores in underserved environments. Our st...
The geoInt project focuses on better understanding the evolution of international actors programs using high resolution satellite imagery. Through qualitati...
The Climate Intervention Effectiveness Programme conducts analyses (and collects data) to help better inform global climate change mitigation efforts. CIEP ...
Produced and maintained by the William & Mary geoLab since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database is an ...
The geoFellows program has three core goals, focused on increasing the diversity of leaders in the computational sciences:
Deep learning techniques have revolutionized a number of fields, predominantly based on research from the computer vision community. The vast majority of li...
In this article, we present a case study estimating school test scores based solely on publicly available imagery in both the Philippines (2010, 2014) and Br...
This paper introduces a fully automated method based on map toponym (place name) labels. It is the first study to demonstrate these methods across a wide ran...
In this paper, we present a test of the use of transfer learning in convolutional neural networks in conjunction with high resolution satellite imagery of ro...
This article explores a CNN-based approach leveraging Landsat 8 imagery to predict locations of conflict-related deaths.
his study uses remote sensing ocean color products to evaluate the impact on reducing marine pollution of the Global Environment Facility’s (GEF) portfolio o...
We present the geoBoundaries Global Administrative Database (geoBoundaries): an online, open license resource of the geographic boundaries of political admin...
Leveraging a novel database on the geographic location of GEF project interventions in Uganda, this paper explores the impact of GEF projects on household as...
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...
Produced and maintained by the William & Mary geoLab since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database is an ...
This Tearline article discusses findings from a project which utilizes open-source data collection and imagery analysis to study the impacts of Chinese devel...
This Tearline article examines evidence of six Chinese BRI hydroelectric power projects in Bolivia.
The article uses the Chinese financing of sustainable energy projects in Cuba as a case study, analyzing why energy projects have been sustainable in Cuba an...
Across seven BRI port projects in Central America and the Caribbean, we find evidence that the project partnerships between China and recipient countries var...
In this brief overview of an article recently published in the journal Sustainability, we showcase one way we’re engaged with continuing operations while und...
This study is the first Value for Money analysis undertaken by the IEO to assess the impact and global environmental benefits of GEF investments and technica...
Highlight of the geoQuery data platform by HPCWire.
In this article, we present a case study estimating school test scores based solely on publicly available imagery in both the Philippines (2010, 2014) and Br...
In this paper, we present a test of the use of transfer learning in convolutional neural networks in conjunction with high resolution satellite imagery of ro...
This article explores a CNN-based approach leveraging Landsat 8 imagery to predict locations of conflict-related deaths.
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...
The Global Education Observatory focuses on collecting, disseminating, and imputing information about school test scores in underserved environments. Our st...
Deep learning techniques have revolutionized a number of fields, predominantly based on research from the computer vision community. The vast majority of li...
In this article, we present a case study estimating school test scores based solely on publicly available imagery in both the Philippines (2010, 2014) and Br...
In this paper, we present a test of the use of transfer learning in convolutional neural networks in conjunction with high resolution satellite imagery of ro...
Six-university collaboration on estimating road quality from space.
This article explores a CNN-based approach leveraging Landsat 8 imagery to predict locations of conflict-related deaths.
Highlight of the geoQuery data platform by HPCWire.
Our annual report for the year 2021.
Our annual report for the year 2020.
An introduction to the geoBoundaries dataset.
Our annual report for the year 2019.
A brief origin story of the geoLab.
The fourth iteration of our original dataset.
Multiple articles using high resolution satellite imagery to track Chinese activities.
Six-university collaboration on estimating road quality from space.
An introduction to the geoBoundaries dataset.
A brief origin story of the geoLab.
Studying health outcomes related to environmental interventions.
Multiple articles using high resolution satellite imagery to track Chinese activities.
Six-university collaboration on estimating road quality from space.
An introduction to the geoBoundaries dataset.
A brief origin story of the geoLab.
his study uses remote sensing ocean color products to evaluate the impact on reducing marine pollution of the Global Environment Facility’s (GEF) portfolio o...
In this brief overview of an article recently published in the journal Sustainability, we showcase one way we’re engaged with continuing operations while und...
Leveraging a novel database on the geographic location of GEF project interventions in Uganda, this paper explores the impact of GEF projects on household as...
This study is the first Value for Money analysis undertaken by the IEO to assess the impact and global environmental benefits of GEF investments and technica...
Studying health outcomes related to environmental interventions.
his study uses remote sensing ocean color products to evaluate the impact on reducing marine pollution of the Global Environment Facility’s (GEF) portfolio o...
In this brief overview of an article recently published in the journal Sustainability, we showcase one way we’re engaged with continuing operations while und...
Leveraging a novel database on the geographic location of GEF project interventions in Uganda, this paper explores the impact of GEF projects on household as...
The fourth iteration of our original dataset.
This paper introduces a fully automated method based on map toponym (place name) labels. It is the first study to demonstrate these methods across a wide ran...
An introduction to the geoBoundaries dataset.
We present the geoBoundaries Global Administrative Database (geoBoundaries): an online, open license resource of the geographic boundaries of political admin...
This Tearline article discusses findings from a project which utilizes open-source data collection and imagery analysis to study the impacts of Chinese devel...
This Tearline article examines evidence of six Chinese BRI hydroelectric power projects in Bolivia.
The article uses the Chinese financing of sustainable energy projects in Cuba as a case study, analyzing why energy projects have been sustainable in Cuba an...
Across seven BRI port projects in Central America and the Caribbean, we find evidence that the project partnerships between China and recipient countries var...
This Tearline article discusses findings from a project which utilizes open-source data collection and imagery analysis to study the impacts of Chinese devel...
This Tearline article examines evidence of six Chinese BRI hydroelectric power projects in Bolivia.
The article uses the Chinese financing of sustainable energy projects in Cuba as a case study, analyzing why energy projects have been sustainable in Cuba an...
Across seven BRI port projects in Central America and the Caribbean, we find evidence that the project partnerships between China and recipient countries var...
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...
Core Contribution - Improving our understanding of the highly non-linear impact of climate on human migratory decisions across multiple countries in Latin Am...
The Climate Intervention Effectiveness Programme conducts analyses (and collects data) to help better inform global climate change mitigation efforts. CIEP ...
In this paper, we present a test of the use of transfer learning in convolutional neural networks in conjunction with high resolution satellite imagery of ro...
Six-university collaboration on estimating road quality from space.
This Tearline article discusses findings from a project which utilizes open-source data collection and imagery analysis to study the impacts of Chinese devel...
Multiple articles using high resolution satellite imagery to track Chinese activities.
Produced and maintained by the William & Mary geoLab since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database is an ...
Highlight of the geoQuery data platform by HPCWire.
Highlight of the geoQuery data platform by HPCWire.
Highlight of the geoQuery data platform by HPCWire.
A brief origin story of the geoLab.