[agents] Call for papers - Special track @ Social Simulation Conference 2025 - Qual2Rule: Using qualitative data in agent-based models

[Melania Borit]

***Apologies for cross-posting.***

Dear colleagues,

If you are working with qualitative data and agent-based modelling, please consider submitting your research (poster, extended abstract, short paper, long paper) to the special track “Using qualitative data to inform behavioural rules in agent-based models”, which is described below the signature and is to be organized during the Social Simulation Conference 2025<https://ssc2025.tbm.tudelft.nl/>, 25-29 September, Delft, the Netherlands.

Submission deadline: 11 April 2025

Submission types:

SSC 2025 seeks high-quality submissions addressing original research in the domain of social simulation. All work must be original, i.e. must not have appeared in conference proceedings, books or journals, and must not be under review for other archival conferences, books or journals. All accepted papers will be considered for publication in the proceedings (Springer), unless the author(s) choose(s) otherwise.

Extended Abstracts (3-4 pages; short oral presentations, can be work in progress)
Short Papers (max 10 pages, short/long oral presentation, they should be complete papers with (modelling) results and conclusions)
Long Papers (max. 12 pages; long oral presentations, should be complete papers with (modelling) results and conclusions)
Poster Abstracts (300-500 words, to be presented as a poster in the conference)


All the best,

Melania, Kavin,  Martin, and Bruce.
______________

Melania Borit, Ph.D.

Professor of Knowledge Integration / Methodologies for Interdisciplinary Research

Norwegian College of Fishery Science,
Faculty of Biosciences, Fisheries and Economics,
UiT The Arctic University of Norway (University of Tromsø),
Tromsø, Norway.

E-mail: melania.borit at uit.no<mailto:melania.borit at uit.no>
Web: uit.no/melania.borit<http://uit.no/ansatte/organisasjon/ansatte/person?p_document_id=139029&p_dimension_id=88166>

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Title of the special track: Qual2Rule: Using qualitative data to inform behavioral rules in agent-based models

Organizer: ESSA<http://www.essa.eu.org/> Special Interest Group Qual2Rule<http://cfpm.org/qual2rule/essa-sig/>

Session chairs:
Bruce Edmonds, Centre for Policy Modelling, UK
Kavin Narasimhan, University of Warwick, UK
Martin Neumann, University of Southern Denmark, Denmark
Melania Borit, CRAFT Research Lab, UiT The Arctic University of Norway, Norway



Description:

Many academics consider qualitative evidence (e.g. texts gained from transcribing oral data 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. The texts will not give a complete picture, but will provide some of “menu” of behaviors people use. During this session we hope to further the understanding of how to improve this. We are particularly interested in accounts of the procedures or structures people used to bridge between qualitative and formal realms based in reported modelling experiences. Thus, those interested to present their work in this session have to make sure that their submission explicitly addresses the use of qualitative data in their modelling endeavour. The session is open to all approaches that seek to move from qualitative evidence towards a simulation in a systematic way. These include, but are 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, pointing out assumptions and dangers.
* Examples of where this approach has been tried.


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