¶¶Òõ̽̽

Scott C. Merrill

Research Associate Professor

Managing Director, Social-Ecological Gaming & Simulation (SEGS) Lab ¶¶Òõ̽̽

Scott C. Merrill headshot
Alma mater(s)
  • Ph. D., Ecology, Colorado State University, 2007
  • B.S., Mathematics, University of Oregon, 1994
  • B.S., Psychology, University of Oregon, 1994
Affiliated Department(s)

Gund Institute For the Environment Fellow, ¶¶Òõ̽̽

(RACC) Policy and Governance team

(NEWRnet) Social Dimensions team

Adjunct Professor, Food Systems Program, University of Vermont

BIO

I am 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, I 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

Area(s) of expertise

Systems ecology, Integrated Pest Management (IPM), social-ecological systems, Landscape ecology, serious games, experimental gaming, animal biosecurity, climate change, population modeling, Monte Carlo simulations, and spatiotemporal modeling.

Bio

I am 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, I 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

Areas of Expertise

Systems ecology, Integrated Pest Management (IPM), social-ecological systems, Landscape ecology, serious games, experimental gaming, animal biosecurity, climate change, population modeling, Monte Carlo simulations, and spatiotemporal modeling.