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Winter School on "Agent-based Modeling of Social-Ecological Systems"

Purpose of the Winter School The overall aim of the winter school is that the participants will learn about the opportunities and challenges of agent-based modeling of social-ecological systems. Participants will engage intensely with a few comprehensive models, learn best practices in doing modeling, and learn about the different modeling challenges across the various social and natural sciences.

Content of the Course The winter school has two main components: 1) lectures and 2) project work. In addition, there is open space in the evening to allow participants to present their own work in speed talks. Lectures will introduce participants to different concepts in the social and natural sciences critical for modeling social-ecological systems, such as human behavior, collective behavior, hydrology, and land cover change. Students will also learn and use best practices to do modeling (reproducibility, model documentation, analysis of models). The participants will be introduced to various stylized agent-based models of actual research projects on social-ecological systems. Groups of participants will chose one of the models and adapt, expand, and analyze the model to better understand the impact of a particular assumptions on the overall outcome of the social-ecological system. The models are written in NetLogo. Therefore, participants must be able to read and write NetLogo programming code. Furthermore, participants are expected to know the basics of R which will be used for model analysis.

The deadline for applications is September 1. For more information visit our website https://complexity.asu.edu/winter-school-2018

Location: 
Tempe, Arizona, USA
Event Dates: 
Wed, 01/03/2018 to Sun, 01/07/2018
Submission Deadline: 
Mon, 05/01/2017