Webinar: Introduction to agent-based modelling for social scientists

16 Jan 2020 2:00 pm - 3:00 pm
Data skills

Social science seeks to understand and predict patterns involving human behaviour, many of which are large-scale and complex. But social science explanations or predictions can be difficult to test and refine because of the serious ethical and practical barriers to controlling, manipulating and replicating conditions within experiments. For example, there are many theories behind some of the complex patterns of urban mobility, but when traffic calming measures fail to produce the desired results it can be difficult to identify why or how the situation can be improved.

One possible solution is to run social science experiments in silico, with simulated actors whose features, behaviours and actions are informed by real world data. This allows social scientists to test and refine their understanding of how an observed pattern can be recreated. Computational social science experiments also allow researchers to explore how emergent patterns might change under experimental, or even counter-factual, conditions.

This free webinar, organised by the UK Data Service, is the first in a series of three on how to use agent-based models and real world data to run computational social science experiments using the example of urban mobility. Specifically, this webinar:

  • introduces the important concepts of emergent patterns, bottom-up processes, and other theoretical ideas underpinning agent-based modelling
  • presents several examples of agent-based models
  • discusses the pros and cons of agent-based models
  • presents several software options for agent-based modelling and where to get more information

Webinars two and three will follow on from this by demonstrating how to open and run agent-based models, how to customise them with GIS data downloaded from the UK Data Service, and how to create a suite of experiments to explore experimental conditions.

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

This site uses cookies

Some of these cookies are essential, while others help us to improve your experience by providing insights into how the site is being used.

For more detailed information please check our Cookie notice

Necessary cookies

Necessary cookies enable core functionality. This website cannot function properly without these cookies.

Cookies that measure website use

If you provide permission, we will use Google Analytics to measure how you use the website so we can improve it based on our understanding of user needs. Google Analytics sets cookies that store anonymised information about how you got to the site, the pages you visit, how long you spend on each page and what you click on while you’re visiting the site.