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Graduate Pursuit: Identifying Socio-Environmental Watershed Typologies Based on Stormwater Pollution Using Machine Learning

 

Identifying Socio-Environmental Watershed Typologies Based on Stormwater Pollution Using Machine Learning

This project represents the first socio-environmental-technological system (SETS) study of the generation of stormwater pollution in urban watersheds across the United States. Urban stormwater pollution poses a major and growing threat to local waterbodies, yet its study and management has consistently ignored the human activities and behaviors that release pollution.

Pursuit: Global Dam Watch: Developing a Community Platform to Map Global Dams, Reservoirs, and River Barriers

 

Global Dam Watch: Developing a Community Platform to Map Global Dams, Reservoirs, and River Barriers

The lack of globally consistent and up-to-date dam data is a major and recurring problem that prevents researchers from fully understanding the impacts of dams, investigating the efficacy of water scarcity mitigation, and monitoring progress towards water-related global goals.  Here, we propose to develop novel scientific approaches, including the interpretation of remote sensing imagery based on machine le

Graduate Pursuit: The Globalization of Conservation: How Public Perceptions of Biodiversity and International Trade Patterns Shape Mangrove Conservation

 

"The Globalization of Conservation: How Public Perceptions of Biodiversity and International Trade Patterns Shape Mangrove Conservation"

This Graduate Pursuit will investigate how public perceptions of biodiversity may influence conservation. We will quantify the relative influence of public perceptions on conservation success at the country level, as well as conduct a case-study comparison of three mangrove-holding nations.

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