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Agent-Based Modeling Short Course Resources

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Dec 20, 2016


What are the essential theoretical background and technical skills needed to conceptualize, build, and analyze an agent-based model? Nick Magliocca, Assistant Research Professor at the National Socio-Environmental Synthesis Center (SESYNC), led a Spatial Agent-Based Modeling short course in December to help researchers develop that expertise. With Kelly Hondula, Quantitative Researcher and Computer Programmer, and Ian Carroll, Data Science Instructor, the course guided participants through the basic phases of the agent-based modeling research process. The syllabus and lecture materials are publicly available on our website here and highlighted below. Of special interest are the lecture on "What are agent-based models (ABMs)?" and the RNetLogo tutorial.


Lecture: What are socio-environmental (S-E) systems?

Lecture: What are agent-based models (ABMs)?

Lecture: Introduction to "building-blocks" of ABMs

Lecture: Introduction to spatially-explicit ABMs

Lecture: Introduction to model calibration, sensitivity analysis, and evaluation


Tutorial: NetLogo Basics

Tutorial: Programming in NetLogo

Tutorial: Introduction to Code Versioning with Git

Tutorial: Use R to analyze NetLogo simulations

Tutorial: GIS and NetLogo

Associated SESYNC Researcher(s):