Scott C. Merrill
Research Associate Professor
Managing Director, Social-Ecological Gaming & Simulation (SEGS) Lab UVM
Faculty Fellow, Gund Institute for Environment
Adjunct Professor, Food Systems at UVM
63 Carrigan Drive
217 Jeffords Hall
Office Hours: By Appointment
Burlington, VT 05405
United States
- Ph.D., Ecology, Colorado State University, 2007
- B.S., Mathematics, University of Oregon, 1994
- B.S., Psychology, University of Oregon, 1994
Gund Institute For the Environment
Research on Adaptation and Climate Change's (RACC) Policy and Governance team
North East Water Resources Network's (NEWRnet) Social Dimensions team
Area(s) of expertise
- landscape ecology
- serious games
- experimental gaming
- animal biosecurity
- climate change
- population modeling
- Integrated Pest Management (IPM)
- social-ecological systems
- Monte Carlo simulations
- systems ecology
- Geographic Information Systems (GIS)
- spatiotemporal modeling
BIO
Scott Merrill is a Systems Ecologist with research spanning a wide range of both natural ecosystems and social-ecological systems. Projects include examining dynamics of change within pest-crop agroecosystems including aspects of climate change, examining ways to nudge human behavior to help protect the health of our livestock herds, and looking at factors motivating behavior that affects water quality in the Lake Champlain watershed. In the SEGS lab, we use experimental gaming as a novel technique for collecting data to examine decision making in social-ecological systems. An important goal of this work is the creation of applicable and predictive models to inform best management practices.
Courses
Ecological Gaming HCOL 186
Quantitative Thinking in Life Sciences PSS 381
Publications
Bio
Scott Merrill is a Systems Ecologist with research spanning a wide range of both natural ecosystems and social-ecological systems. Projects include examining dynamics of change within pest-crop agroecosystems including aspects of climate change, examining ways to nudge human behavior to help protect the health of our livestock herds, and looking at factors motivating behavior that affects water quality in the Lake Champlain watershed. In the SEGS lab, we use experimental gaming as a novel technique for collecting data to examine decision making in social-ecological systems. An important goal of this work is the creation of applicable and predictive models to inform best management practices.
Courses
Ecological Gaming HCOL 186
Quantitative Thinking in Life Sciences PSS 381