Researcher

Short Course: 2020 Bayesian Modeling for Socio-Environmental Data

 

Short Course: Interactive Web-Based Visualizations and Decision Support Tools in Shiny/R for Quantitative Scientists

Solutions to pressing environmental problems require understanding connections between human and natural systems. Analysis of these systems requires a model that can deal with complexity, is able to exploit data from multiple sources, and is honest about the uncertainty from multiple sources. Synthesis of results from multiple studies is often required.

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.

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

 *Postponed

"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.

Short Course: Interactive Web-Based Visualizations and Decision Support Tools in Shiny/R for Quantitative Scientists

 

Short Course: Interactive Web-Based Visualizations and Decision Support Tools in Shiny/R for Quantitative Scientists

In trying to close the disconnect between science and decision making, an important challenge is translating scientific findings into interpretable results and tools that decision makers can use. Web applications (in contrast to traditional desktop programs) are particularly useful because they function across platforms, are widely available to and easily accessed by a wide range of us

(Postponed) Graduate Pursuit: An Area of Conflict: The Effects of Agricultural Subsidization on Conservation Goals Worldwide

*Postponed 

"An Area of Conflict: The Effects of Agricultural Subsidization on Conservation Goals Worldwide"

This project is the result of a partnership between the Helmholtz Centre for Environmental Research (UFZ) (Germany), the University of Leeds (UoL) (UK), and the National Socio-Environmental Synthesis Center (SESYNC) at the University of Maryland (UMD) (USA); the project brings together highly qualified PhD students interested in an international collaborative synthesis re

(Postponed) Pursuit: Can Enhancing Diversity Help Scale Up Agriculture's Benefits to People and the Environment?

*Postponed 

"Can Enhancing Diversity Help Scale Up Agriculture's Benefits to People and the Environment?"

Diversity matters. Diversity in colour, gender, culture, and ideas is what make our world interesting and beautiful. In recent years, diversity in our agricultural systems has been rapidly changing. Two existing SESYNC projects aim to understand the political drivers of this change and its impacts on human nutrition.

(Postponed) Workshop: Co-Generating a System Model to Improve Opportunities for Proactive Management of the Batrachochytrium salamandrivorans (Bsal) Threat in North America

 *Postponed

Co-Generating a System Model to Improve Opportunities for Proactive Management of the Batrachochytrium salamandrivorans (Bsal) threat in North America

In the last four decades, amphibian populations across the world have experienced declines attributed to climate change, habitat alteration, and infectious disease.

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