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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: Plastic Mitigation

 

Mitigating oceanic plastic pollution: modeling inputs, interventions and future scenarios to direct mitigation strategies for achieving measurable improvements to marine ecosystems

The objective of this Pursuit is to develop and validate an online and user-friendly tool for groups to evaluate intervention scenarios aimed at addressing the global challenge of marine plastic pollution.

Pursuit: Global socioeconomic drivers of insect invasions

 

Global socioeconomic drivers of insect invasions

Biological invasions are largely an unintended consequence of globalization. With increasing mobility, humans have accidentally transported organisms around the world, breaking the geographical boundaries that separated species ranges that persisted for millions of years of evolution.

Pursuit: A socio-environmental synthesis of the linkages between water scarcity induced conflict and land use/land cover change in Africa to enhance multi-scalar decision making

 

"A socio-environmental synthesis of the linkages between water scarcity induced conflict and land use/land cover change in Africa to enhance multi-scalar decision making"

This Pursuit will combine the expertise of social and environmental scientists, NGOs, and government officials to examine where, when, how and why conflicts arise over water.

Pursuit: People, Land, Water, and Fish in the Chesapeake Watershed

 

"People, Land, Water, and Fish in the Chesapeake Watershed"

Population growth in coastal regions of the United States and around the world is expected to continue long into the foreseeable future. Such growth has the potential for significant adverse impacts on sensitive aquatic and terrestrial ecosystems. Managing and mitigating these impacts will require data driven methods, models, and tools that capture the interaction between human and natural systems.

Graduate Pursuit: Understanding dynamic environmental and socio-economic interactions in food systems to support decision-making towards a sustainable and resilient agriculture

 

"Understanding social responses to environmental shocks: A text mining approach"

Because of their sudden onset, environmental shocks can be difficult to study using traditional survey-based methods which require significant amounts of time to plan, fund and execute. Continuous in situ data streams from social media, newspapers, and other big data sources, offer an opportunity to examine how people perceive and respond to environmental shocks like heat waves and floods.

Pursuit: Understanding dynamic environmental and socio-economic interactions in food systems to support decision-making towards a sustainable and resilient agriculture

 

"Understanding dynamic environmental and socio-economic interactions in food systems to support decision-making towards a sustainable and resilient agriculture"

This is a closed meeting for a funded group of visiting scholars.Where and how to increase agricultural production to meet growing food demand is critical for the sustainability and resilience of food systems and society.

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