Adding real world data to agent-based modelling for social scientists

Following on from the introductory webinar, this online workshop shows how researchers can add real-world data to agent-based models.

This free workshop, organised by the UK Data Service, is the second in a training series on how to use agent-based models and real world data to run computational social science experiments. Specifically, this webinar:

• shows how to open, modify and save an agent-based model in NetLogo
• shows how to load shapefiles and other data files into the agent-based model
• demonstrates how the agent-based model differs when using random and imported real world data
• discusses some problems and limitations of using real world data in agent-based models

All of the code and data used in the workshop will be available to participants so that they can follow along and/or work through at their own pace. Another workshop follows this one with details of how to create and run experiments on the agent-based model in NetLogo.

Trainer: Dr. J. Kasmire

Level: Beginner
Prerequisites: Attendees should have a basic grasp of agent-based models (e.g. should have attended or viewed the recordings for the introductory webinar that preceeds this workshop)
Target Audience: This workshop is aimed at social science researchers that are curious about and want to understand the practical basics of using agent-based models, especially in NetLogo

We will be using Mentimeter to ask questions in this workshop so you may want to have a second device handy for this, such as a smartphone, but it is not essential.

This event will be livestreamed on our UK Data Service YouTube channel but the chat will not be monitored. By registering and attending the Zoom event you will be able to ask questions and interact.

Places for this workshop are limited so please only book a place if you are certain you can attend.

Recordings of UK Data Service events are made available on our YouTube channel and, together with the slides, on our past events pages soon after the event has taken place.