<\/p>\n
Everybody is invited to submit a paper for two special sessions at the 2016 Social Simulation Conference (SSC): SIG Qual2Rule \u2013 Using qualitative data to inform behavioral rules and Modelling Social Science Aspects of Fisheries. The conference will take place in the period 19-23 September in Rome, Italy and the current deadline for full papers, extended abstracts and posters is set to April 4th.<\/p>\n
Using qualitative data to inform behavioral rules<\/p>\n
Session chairs:<\/p>\n
Melania Borit, University of Troms\u00f8 (UiT) \u2013 The Arctic University of Norway, Norway<\/p>\n
Roman Seidl, Institute for Environmental Decisions, Switzerland<\/p>\n
Many academics consider qualitative evidence (e.g. texts gained from transcribing someone talking or observations of people) and quantitative evidence to be incommensurable.\u00a0 However agent-based simulations are a possible vehicle for bridging this gap.\u00a0 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.\u00a0 They will not give a complete picture of this, but they will provide some of \u201cmenu\u201d of behaviors that people use. During this session we hope to further understanding of how to do this better.\u00a0 It is open to all approaches that seek to move from qualitative evidence towards a simulation in a systematic way.\u00a0 This includes, but is not limited to:<\/p>\n
*\u00a0 Approaches based in Grounded Theory.<\/p>\n
*\u00a0 Tools for facilitating such a process.<\/p>\n
*\u00a0 Participatory processes that result in a simulation.<\/p>\n
*\u00a0 Frameworks for aiding the analysis of text into rules.<\/p>\n
*\u00a0 Elicitation techniques that would aid the capture of information in an appropriate structure. *\u00a0 Models and ideas from psychology to aid in the above process.<\/p>\n
*\u00a0 Insights and tools from Natural Language Processing that may help this process.<\/p>\n
*\u00a0 Agent architectures that will facilitate the programming of agents from such analyses.<\/p>\n
*\u00a0 Philosophical or Sociological critiques of this project, pointing out assumptions and dangers.<\/p>\n
*\u00a0 Examples of where this approach has been tried.<\/p>\n
Modelling social science aspects of fisheries<\/p>\n
Session chairs:<\/p>\n
Melania Borit, University of Troms\u00f8 (UiT) \u2013 The Arctic University of Norway, Norway<\/p>\n
Cezara Pastrav, Matis, Iceland<\/p>\n
Overall, world fisheries are unsustainable, with almost 90% of stocks being over exploited or fully exploited. Improved and innovative management solutions are required if this critical situation is to be remedied. Since management is about people, not fish, integrating social sciences aspects into the modelling of fisheries as a socio-ecological complex system might be such a new way of thinking about fisheries management. We are interested in solutions that look at fisheries as socio-ecological complex systems, with a focus on the social behavior components of the system. Submissions focusing on any aspects of fisheries management are welcome, including (but not restricted to): social norms and self-organization of fishers, applications of Ostrom\u00b4s work on managing social commons, compliance with rules under changing management regimes, culture and trust, simulations that combine complex representations of society and complex ecological models, simulations as public educational tools, participatory simulations of fisheries. This session is a SAF21 initiative.<\/p>\n","protected":false},"excerpt":{"rendered":"
Everybody is invited to submit a paper for two special sessions at the 2016 Social Simulation Conference (SSC): SIG Qual2Rule \u2013 Using qualitative data to inform behavioral rules and Modelling Social Science Aspects of Fisheries. The conference will take place in the period 19-23 September in Rome, Italy and the current deadline for full papers, … Continue reading SSC2016 CfP: two special sessions \u2013 \u201cQual2Rule\u201d and \u201cModelling social science aspects of fisheries\u201d<\/span>