Agent-based Modeling of Human-Environment Systems 620
Description: In this class we will focus on spatial agent-based models and examine their utility in understanding animal movements and habitat use, landscape and ecosystem changes, human decision making, and policy impacts, among other topics. The course will combine literature review with some hands-on modeling. Students will also complete a class project in which they develop their own models in their areas of interest.
Foundations in Human-Environment Systems Science 497/597
Description: This course will provide students with a foundational understanding of the theories, methods, and applications of HES science. By synthesizing insights from both the biophysical and social sciences, student will learn the core concepts of complex systems. Through team exercises and case studies, students will also develop a deeper understanding of how to research and address real-world problems, like conserving endangered species in the US or decreasing the impacts of climate change on vulnerable human communities.
Research Design in Human-Environment Systems Science 497/597 (co-taught)
Description: The overarching objective of this course is to train graduate students to design HES research and introduce them to the variety of methods employed in HES science. Through this course, students will learn to design HES Science research by focusing on the High Divide, an important landscape straddling the Idaho-Montana border, and wedged between the Greater Yellowstone Ecosystem and the Crown of the Continent Ecosystem.
Header image credit: Michigan State University