Computational Projects

SESYNC offers an integrated program for collaborative and individual synthesis research projects focused on critical problems in socio-environmental science. Bringing together disparate data, methods, theories, and tools may involve computationally-intensive modeling and/or data analysis which requires specialized computational techniques and infrastructure. SESYNC’s cyberinfrastructure team has expertise in helping science teams overcome these barriers and adhere to best practices in scientific computing. See below for examples of SESYNC-supported projects that use advanced computational resources or methods:

Computational Project Principal Investigator Year Funded

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

Megan Barnes, University of Hawaii, Chelsea Rochman, University of Toronto 2017

A forecast of the timing, locations, sequence and likeliest destinations of populations displaced by sea level rise and coastal extremes

David Wrathall, Oregon State University, Valerie Mueller, Arizona State University 2017

Testing and extending Ostrom’s frameworks: quantitative synthesis and modeling of social-ecological dynamics

Graeme Cumming, James Cook University, Graham Epstein, University of Waterloo 2017

Linked socio-environmental responses to destructive wildfire: Are wildfires ‘hot moments’ for transformative adaptation?

Miranda Mockrin, USDA Forest Service, Van Butsic, University of California, Berkeley, Alex Syphard, Conservation Biology Institute 2017

Winter Weather Whiplash: Developing Indices of Extreme Winter Weather Variability and Socio-Ecological Responses

Alix Contosta, University of New Hampshire, Nora Casson, University of Winnipeg 2017

Putting pesticides on the map to guide conservation of pollinators and their ecosystem services.

Margaret Douglas, Pennsylvania State University, Christina Grozinger, Pennsylvania State University 2017

Data to Motivate Synthesis

Kristal Jones, SESYNC, Jonathan Kramer, SESYNC, Jim Boyd, SESYNC, Nick Magliocca, University of Alabama, Kelly Hondula, SESYNC 2014

Cross-Disciplinary Statistical Applications in the Anthropocene

Christopher Trisos, SESYNC, Noelle Beckman, SESYNC, Joe Maher, SESYNC 2017

Expanding Access to Data-intensive Remote Sensing Algorithms through Collaboration with the Socio-Environmental Science Research Community

Michael Alonzo, American University, Jamon Van Den Hoek, Oregon State University 2017

Food & Landscape Diversity

Sarah E. Gergel, University of British Columbia, Terry C.H. Sunderland, Center for International Forestry Research 2017

A Socio-Ecological Framework for Assessing Stormwater Infrastructure Equity: A Case Study of New York City

Julia A. Domenech-Eckberg, Mississippi State University , Paris Edwards, University of Idaho 2017

Feasibility of Temporary Conservation Areas in Agricultural Landscapes to Improve Habitat for Migratory Bird Species in the United States

Alexander Killion, Boise State University , Jessica Gilbert, Texas A&M University 2017

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

Gerrit-Jan Knaap, University of Maryland, Raleigh Hood, University of Maryland Center for Environmental Science 2016

Sustainable Agriculture Matrix

Xin Zhang, UMCES Appalachian Laboratory, Eric Davidson, UMCES Appalachian Laboratory 2016

Qualitative Data Sharing

Kristal Jones, SESYNC, Steven Alexander, SESYNC 2016