Community Events

Special Session on Qualitative Data at the Social Simulation Conference 2016 in Rome


Session chairs:

  • Melania Borit, University of Tromsø (UiT) – The Arctic University of Norway, Norway
  • Roman Seidl, Institute for Environmental Decisions, Switzerland

Many academics consider qualitative evidence (e.g. texts gained from transcribing someone talking or observations of people) and quantitative evidence to be incommensurable. However agent-based simulations are a possible vehicle for bridging this gap. Narrative textual evidence often gives clues as to the in-context behavior of individuals and is thus a natural source for behaviors to inform the specification of corresponding agent behavior within simulations. They will not give a complete picture of this, but they will provide some of “menu” of behaviors that people use. During this session we hope to further understanding of how to do this better. It is open to all approaches that seek to move from qualitative evidence towards a simulation in a systematic way. This includes, but is not limited to:
• Approaches based in Grounded Theory.
• Tools for facilitating such a process.
• Participatory processes that result in a simulation.
• Frameworks for aiding the analysis of text into rules.
• Elicitation techniques that would aid the capture of information in an appropriate structure.
• Models and ideas from psychology to aid in the above process.
• Insights and tools from Natural Language Processing that may help this process.
• Agent architectures that will facilitate the programming of agents from such analyses.
• Philosophical or Sociological critiques of this project, pointing out assumptions and dangers.
• Examples of where this approach has been tried.

Discussion

This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.
Accept