[agents] CfP: Using qualitative data to inform behavioural rules - Special Track @ Social Simulation Conference 2020 (14-18.09, Milan, Italy)

[Melania Borit]

***Apologies for cross-posting.***
*** Please forward to anybody who might be interested. ***

Dear colleagues,

Please consider submitting your research to the Special Track on Using qualitative data to inform behavioral rules in agent-based modelling that is to be organized during the Social Simulation Conference 2020 in Milan, Italy (14-18.09). Deadlines: http://ssc2020.behavelab.org/submissions/. The call for papers for this special track is described below my signature.


If you are interested in this topic, then please also consider joining the 3rd Workshop on Integrating Qualitative and Quantitative Evidence using Social Simulation, 28-29 May 2020, in Southampton, UK – https://www.southampton.ac.uk/business-school/news/events/2020/05/28-29-iqqe-workshop.page and/or the half day open public seminar with the title: Don't Ignore the Qualitative, Stupid! Why Qualitative Data Matters in Simulations that will be organised in the same place, on the 27th of May (form 13 o’clock).

Best regards,

Melania.
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Melania Borit, Ph.D.

Associate professor,
BRIDGE<https://en.uit.no/forskning/forskningsgrupper/gruppe?p_document_id=392796> research group leader,

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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ESSA<http://www.essa.eu.org/> Special Interest Group Qual2Rule<http://cfpm.org/qual2rule/essa-sig/> - Using qualitative data to inform behavioral rules

Session chairs:
Melania Borit, University of Tromsø (UiT) – The Arctic University of Norway, Norway
Bruce Edmonds, Manchester Metropolitan University, UK


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. Those interested to present their work in this session have to make sure that their submission explicitly addresses the use of qualitative data in informing their model. 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:



* 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.

* Approaches based in Grounded Theory.

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