Webinar: Conducting experiments, recording output and analysing results of agent-based modelling for social scientists
Following on from the webinars introducing ABM and showing how to add real world data, this session demonstrates how social scientists can automate parameter sweeps and experimental conditions within an agent-based model. Further, this webinar will show how to export selected model data to saved files in two different ways. Finally, this webinar will show what exported data looks like and how it might be further manipulated to demonstrate the experimental results.
This free webinar, organised by the UK Data Service, is the third 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 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
- briefly displays what exported experimental data looks like and how it might be analysed to support experimental conclusions
Further three-part webinar series will follow soon, addressing other topics on how social scientists can use new forms of data in their research.