Funding Sources


  • Josh Bongard
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    Joshua Bongard
    Department of Computer Science, Associate Professor

    Bongard's work focuses on understanding the general nature of cognition, regardless of whether it is found in humans, animals or robots. This unique approach focuses on the role that morphology and evolution plays in cognition. Addressing these questions has taken him into the fields of biology, psychology, engineering and computer science.

    Current Funding Sources: Army Research Office, DARPA
  • Chris Danforth
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    Chris Danforth

    Department of Mathematics and Statistics, Flint Professor of Mathematical, Natural, and Technical Sciences


    Danforth is an applied mathematician interested in modeling a variety of physical, biological, and social phenomenon. He has applied principles of chaos theory to improve weather forecasts as a member of the Mathematics and Climate Research Network, and developed a real-time remote sensor of global happiness using messages from Twitter: the Hedonometer. Danforth co-runs the Computational Story Lab with Peter Dodds, and helps run UVM's reading group on complexity.

    Supported by: National Science Foundation, MITRE, MassMutual


  • Laurent HeĢbert-Dufresne
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    Laurent Hébert-Dufresne
    Assistant Professor, Computer Science

    Laurent studies the interaction of structure and dynamics. His research involves network theory, statistical physics and nonlinear dynamics along with their applications in epidemiology, ecology, biology, and sociology. Recent projects include comparing complex networks of different nature, the coevolution of human behavior and infectious diseases, understanding the role of forest shape in determining stability of tropical forests, as well as the impact of echo chambers in political discussions.

    Current Funding Sources: National Science Foundation

  • Paul Hines
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    Paul Hines
    School of Engineering, Associate Professor

    Hines' work broadly focuses on finding ways to make electric energy more reliable, more affordable, with less environmental impact. Particular topics of interest include understanding the mechanisms by which small problems in the power grid become large blackouts, identifying and mitigating the stresses caused by large amounts of electric vehicle charging, and quantifying the impact of high penetrations of wind/solar on electricity systems.

    Current Funding Sources: National Science Foundation CRISP: Understanding the Benefits and Mitigating the Risks of Interdependence in Critical Infrastructure
    Systems

  • James Bagrow
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    James Bagrow

    Assistant Professor, Department of Mathematics and Statistics

    Bagrow's interests include: Complex Networks (community detection, social modeling and human dynamics, statistical phenomena, graph similarity and isomorphism), Statistical Physics (non-equilibrium methods, phase transitions, percolation, interacting particle systems, spin glasses), and Optimization(glassy techniques such as simulated/quantum annealing, (non-gradient) minimization of noisy objective functions).


    Current Funding Sources: NSF Grant No. IIS-1447634


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