When: Friday 13^th June, 2-4:30pm BST (British Summer Time)

Format: 5-10 minutes presentations followed by discussions

The webinar is focusing on work in progress and mutual learning so work in progress is welcome. If you are interested in presenting your work, please contact Rachel Aldred (R.Aldred@westminster.ac.uk) or Melania Borit (melania.borit@uit.no).

Some were published in:

Kamiński, Bogumił; Koloch, Grzegorz (Eds.) (2013) Advances in Social Simulation: Proceedings of the 9th Conference of the European Social Simulation Association.  Springer.

Links of these papers are given to SpringerLink, others a direct pdf is provided with permission of the authors, who retain copyright in these cases.

Session 1:

• Martin Neumann: Grounded Simulation
• Tilman Schenk: Generating an agent based model from interviews and observations: procedures and challenges
• Bruce Edmonds: Towards a Context- and Scope-Sensitive Analysis for Specifying Agent Behaviour
• Ulf Lotzmann: A tool for tracing evidence provinance in developing participatory models (slides only)
  

Session 2:

• Cesar Enrique Garcia Diaz et al.: Using qualitative data to explore knowledge transfer scenarios in agent-based models: the case of zero-energy buildings
• Sukaina Bharwani et al.: What drives decision-making on livelihood options in the forest communities of Cameroon?
• Magnus Josefsson: Interpreting the conundrum of social mechanisms: Insights from grounded theory.
• Ozge D. Kalkan: A Grounded Simulation of Early Adoption Advantages During Diffusion of Innovations

Session 3:

• Nicolas Gailliard et al.: Participatory policy making in practice: simulating boundary work in water governance
• Pablo Lucas: An Adaptation of the Ethnographic Decision Tree Modeling Methodology for Developing Evidence-Driven Agent-Based Models (not presented)
• Amineh Ghorbani et al.: Using Ethnographic Information to Conceptualize Agent-based Models
• Emma Norling: An Approach to Capturing Cognitive Processes

Session 4:

• Frank Schiller et al.: Defining relevance and finding rules: an agent-based model of biomass use in the Humber area
• Serge Bobo Kadiri et al.: Raising the awareness of local populations about the sustainability of bushmeat hunting through the incremental introduction of an agent-based model. A case study in the region of Korup National Park (Cameroon)
• Armando Geller: Eliciting Information for Multiagent Modeling using Contexts and Scenarios
• Krzysztof Kulakowski et al.: Discrete chaos in everyday life

Special issue/section of the Journal of Artificial Societies and Social Simulation (JASSS) on: “Using qualitative data to inform behavioral rules”

In other words, unpublished (note 1) reports on approaches that start with qualitative data (in some form) and attempts to use this to inform the specification of an agent-based simulation.  We recognise that this is very much an open issue, and thus we are open to contributions from many different fields that would contribute to parts of this project.  However, we particularly value papers with a well-described method that is illustrated with specific examples, going from the qualitative data all the way to some rule or other code that forms part of a simulation (or could do so) with some assessment of the method’s pros and cons.

Deadline: 15th October 2013

Submission instructions: Do not submit to JASSS but to this easychair site:
https://www.easychair.org/conferences/?conf=qual2rule

Please read and note the instructions for formatting the document that are at:
http://jasss.soc.surrey.ac.uk/admin/submit.html

Any queries or difficulties, please contact me, Bruce Edmonds <bruce@edmonds.name>

Note 1: Papers that were published in conference proceedings (e.g. ESSA 2013) are acceptable if expanded, revised and updated.  Attendees of the special track of ESSA on this topic are expected to take comments and discussion into account.

The accepted papers to be orally presented at ESSA 2013, in no particular order:

• Martin Neumann. Grounded Simulation
• Tilman Schenk. Generating an agent based model from interviews and observations: procedures and challenges
• Javier Alvarez-Galvez. Agent-Based Decision Support System for Studying Health System Efficiency
• Elizabeth Carabine. Narratives of a drought: exploring resilience in Kenya’s drylands
• Emma Norling. An Approach to Capturing Cognitive Processes
• Bruce Edmonds. Towards a Context- and Scope-Sensitive Analysis for Specifying Agent Behaviour
• Ozge Dilaver Kalkan. A Grounded Simulation of Early Adoption Advantages During Diffusion of Innovations
• Magnus Josefsson. Interpreting the conundrum of social mechanisms: Insights from grounded theory
• Amineh Ghorbani, Noortje Schrauwen and Gerard Dijkema. Using Ethnographic Information to Conceptualize Agent-based Models
• Nicolas Gailliard, Olivier Barreteau and Richard-Ferroudji Audrey. Participatory policy making in practice: simulating boundary work in water governance
• Pablo Lucas. An Adaptation of the Ethnographic Decision Tree Modeling Methodology for Developing Evidence-Driven Agent-Based Models
• Jesus Rosales-Carreon and Cesar Garcia-Diaz. Using Qualitative Data To Explore Knowledge Transfer Scenarios In Agent-Based Models: The Case Of Zero-Energy Buildings
• Sukaina Bharwani, Richard Taylor, Tahia Devisscher, Monica Coll Besa and Michael Fischer. What drives decision-making on livelihood options in the forest communities of Cameroon?
• Frank Schiller, Anne Skeldon, Tina Balke, Michelle Grant, Alexandra Penn, Lauren Basson, Paul Jensen, Nigel Gilbert, Ozge Dilaver Kalkan and Amy Woodward. Defining relevance and finding rules: an agent-based model of biomass use in the Humber area
• Serge Bobo Kadiri and Christophe Le Page. Raising the awareness of local populations about the sustainability of bushmeat hunting through the incremental introduction of an agent-based model. A case study in the region of Korup National Park (Cameroon)
• Armando Geller, Seyed Mussavi Rizi and Maciej Latek. EFMAS: Elicitation Framework for Multiagent Systems
• Krzysztof Kulakowski, Piotr Gronek and Antoni Dydejczyk. Discrete Chaos In Everyday Life