Vermont Complex Systems Center Research Groups

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Group Leads: Chris Danforth and Peter Dodds
Group Members: Eric Clark, Tyler Gray, David Dewhurst, Aaron Schwartz, Ben Emery, John Ring, Michael Arnold, Yu Jiang, Sven McCall, Laura Jennings, Henry Mitchell

Danforth is the Flint Professor of Mathematical, Natural, and Technical Sciences at the University of Vermont. He co-directs the Computational Story Lab, a group of applied mathematicians at the undergraduate, masters, phd, and postdoctoral level working on large-scale, system problems in many fields including sociology, nonlinear dynamics, networks, ecology, and physics.
Danforth’s background is in the application of Chaos Theory to weather & climate prediction. His current work is in Computational Social Science, exploring human behavior through social media data. Danforth is the co-inventor of, a socio-technical instrument measuring daily happiness based on 100 billion Twitter messages. He has also developed algorithms to identify predictors of depression from Instagram photos.

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Group Lead: Josh Bongard
Group Members: Roman Popov, Anton Bernatskiy, Collin Cappelle, Sam Kriegman, Joshua Powers, Alex Ram, Jack Felag

Can we automatically design increasingly smart robots that will help humans and work alongside them? To do so, we draw on ideas from evolution, crowdsourcing, and neuroscience.

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Group Lead: Paul Hines
Group Members: Molly Molly Rose Kelly-Gorham, OlaOluwa Akinola, Andrew Klem, Austin Thomas, Bernard Achinda

The mission of the energy and complexity group is to understand the complexity of electricity and to use that understanding to make energy systems work better (cleaner, more reliable and less costly) through innovative research. Our group works in close collaboration with the Vermont Complex Systems Center, the UVM Smart Grid IGERT program, and the eEnergy Vermont Smart Grid project.

Group Lead: Laurent HeĢbert-Dufresne
Group Members: Guillaume St-Onge, Brendan Case, Blake Williams, Alexander Daniels, Samuel Rosenblatt
Our research deals with the interaction and coevolution of structure and dynamics. Our focus is on network theory, but also general nonlinear dynamics in structured systems. Examples include social networks interacting with the spread of diseases and ideas, the shape of forests coevolving with forest fires, and the structure of metabolic networks influencing interactions in microbial communities.

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Group Lead: James Bagrow
Group Members: Andrew Becker, Daniel Berenberg, Jeremy Holden, Abigail Hotaling, Ryan Grindle, Brian Colombini, William Cuoco, Beau Duval, Olivea Hurd

We are researchers using mathematical modeling, computational methods, and big data to understand and predict the behavior of complex social and technological systems, from team collaborations and activity on social media to power grids, the stock market, and

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Group Lead: Nick Cheney
Group Members: Shawn Beaulieu, Ollin Langle, Lapo Frati
The UVM Neurobotics Lab draws inspiration from natural systems in biology, psychology, and neuroscience to help us design artificial neural networks, autonomous robots, and decision making systems. We also apply these machine learning systems to help provide solutions and insights towards complex systems in our society — including social, environmental, and biomedical domains.

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Group Lead: Brian Tivnan,
Group Members: Chris Danforth, David Dewhurst, Tyler Gray, Matt Koehler, Matt McMahon, Colin van Oort, John Ring, Brendan Tivnan, Brian Tivnan, Jason Veneman

The Computational Finance Lab is a joint venture of the University of Vermont and The MITRE Corporation. Its purpose is to study modern financial markets from a systems perspective using the tools of statistical physics, systems engineering, and data science. Its major research foci are empirical market microstructure and agent-based modeling of financial markets.

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Group Lead: Jarlath O’Neil-Dunne
Group Members:
Sean MacFaden, Ernie Buford, Anna Royar, Emma Estabrook, Noah Ahles, Ed Zylka
The University of Vermont (UVM) Spatial Analysis Laboratory (SAL) is a research facility located within the Rubenstein School of the Environment and Natural Resources. The SAL brings together faculty, staff, and students from across campus who share a passion for using geospatial technology to solve pressing challenges in the natural, physical, and social sciences. In partnership with the USDA Forest Service, the SAL has carried out tree canopy assessments for over 80 communities throughout North America, giving decision-makers data analytics that helps them to chart a greener future. The SAL is also home to UVM’s Unmanned Aircraft Systems (UAS) Team, which uses drone technology in areas ranging from disaster response to invasive species mapping.