Event Details
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About this Event
How can small-scale decisions lead to large-scale outcomes? Agent-based models help researchers understand how the parts of a system work together to produce an unexpected or complex outcome.
During this virtual workshop, discover how to use the programming environment NetLogo to construct and explore agent-based models. You will interpret agent-based model outcomes and compare them with real-world patterns to identify predictive or exploratory uses.
Daniel C. Peart, data services librarian, will lead the workshop.
This workshop is open to UD students, faculty and staff. It is co-sponsored by the Graduate College.
Registration is required. Once registered, you will receive an email with details on how to join the workshop via Zoom.