Introduction to Spatial Agent-Based Modeling 2020 Short Course

Monday, July 13, 2020 (All day) to Friday, July 17, 2020 (All day)
Annapolis, Maryland, United States
Related GLP Member: Nicholas Magliocca

Course Summary: This 5-day short course will serve as an introduction to the theory and practice of spatially explicit agent-based modeling (ABM). You will learn the essential theoretical background and technical expertise needed to conceptualize, build, and analyze your first agent-based model. This course will guide you through the basic phases of the ABM research process: formulating a research question, specifying a model, creating a simulation, and interpreting the output. The course combines lectures with hands-on model-building sessions where you will build a model using NetLogo to acquire basic and intermediate programming skills. More advanced students are welcome to build a model in a programming language of their choice. This will be an intensive, week-long immersion in ABM concepts and methods with reading and short writing assignments each day, and a 'final project' consisting of a simple model and standardized documentation to be published in the OpenABM ( repository.

Target Audience: This course is intended as a foundational course for anyone interested in adding ABM to their analytical toolkit, regardless of prior modeling experience. Much of the course material and lessons will emphasize spatial ABM for understanding the dynamics and interdependencies of humans and natural systems (i.e., socio-environmental (S-E) systems). Applicants whose research or teaching focus on such topics will be given preference, but applicants with other areas of interest are also welcome. The course material will be structured for students with little to no experience with ABM and/or programming, but it could also be of interest to researchers/faculty with limited ABM experience. Target class size is 12-15, so space is limited.