Poverty and sustainability
Agent Based Modelling
Southeast Asian economies
Simulation games, systemic complexity, learning, business cycles, and discrete-event simulation, modeling sustainability challenges in urban context.
To understand the nature of sustainable biophysical/economic systems. To determine the necessary and sufficient conditions for sustainability. To explore the trade-off between sustainability and social or economic justice. To investigate the application of the MEP and/or the MEPP to economic systems, or agent-based models of economic systems.
Environmental Economics, Resource Economics, Behaviour Economics, Social Security/ Health Economics, Sustainability, Development Economics
Modeling and simulation of future impacts of information and communication technologies on environmental sustainability using agent based modeling and system dynamics
GARRY SOTNIK is a Lecturer with the Sustainability Science and Practice Program in the Doerr School of Sustainability. He is a systems scientist with research focused on identifying robust adaptation strategies in contexts defined by deep uncertainty and global climate change. Garry develops and implements agent-based computer simulation models that explore co-evolutionary interactions among human cognition and behavior, on the one end, and biophysical conditions, on the other. At Stanford, Garry co-manages the Sustainability Leadership Practicum, co-teaches a course on Managing Complex Social-Environmental Systems, and will soon teach a course on Decision Making for Sustainability.
agent-based modeling, cognition
Modelling natural resource production and use for assessment of sustainability.