Conducting experiments with agent-based modelling for social scientists
This session follows on from the introductory webinar about agent-based modelling and the prior workshop on how to add real-world data to agent-based models for social science research.
With that foundation, this session demonstrates how social scientists can create and automatically run experiments on their agent-based models, including how to export the experimental data and save it in multiple ways.
This free online workshop, organised by the UK Data Service, is the third a training series on how to use agent-based models and real world data to run experiments that address social science research problems. Specifically, this webinar demonstrates:
- how to conduct parameter sweeps for model testing in NetLogo
- how to automate the process of computational experiments (also in NetLogo)
- two different methods of exporting experimental data to saved files for further analysis
- what exported experimental data looks like and how it might be analysed to support experimental conclusions
Trainer: Dr. J. Kasmire, UK Data Service
Level: Beginner
Prerequisites: A basic understanding of agent-based models and/or NetLogo (e.g. by attending the introductory webinar and prior workshop in this training series)
Target Audience: Researchers who are curious about how to get started with and use agent-based models for social science research
We will be using Mentimeter to ask questions in this webinar 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.
This event takes place in Love Data Week 2022! “Data is for everyone” starts 14 February. #LoveData22