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

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

Linking Trade, Biology, and Pet Owner Decisions to the Risk of Vertebrate Invasions in the US

Julie Lockwood, Rutgers University, Christana Romagosa, University of Florida 2016

Breaking the Code

Elicia Ratajczyk, Arizona State University , Ute Brady, Arizona State University , Graham Epstein, Indiana University 2016

Bayesian Modeling for Socio-Environmental Data

Tom Hobbs, Colorado State University, Mary Collins, SUNY-ESF, Christian Che-Castaldo, University of Maryland 2015

Computational Summer Institute 2015

Mary Shelley, SESYNC, Mike Smorul, SESYNC, Nicholas Magliocca, SESYNC, Philippe Marchand, SESYNC, Kelly Hondula, SESYNC 2015

Computational Environmental Justice Analysis

Paul Mohai, University of Michigan, Michael Ash, University of Massachusetts Amherst, Mary Collins, SUNY-ESF 2015

Predicting Human–Wildlife Conflicts

Neil Carter, Boise State University, Adrian Treves, University of Wisconsin-Madison, Meredith Gore, Michigan State University, Jens Frank, Swedish University of Agricultural Sciences 2014

Hawaiian Watershed Response

Tamara Wong, University of Hawai‘i at Manoa, David Duffy, University of Hawai‘i at Manoa 2014

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