Computer-Supported Cognitive Mapping for Participatory Problem Structuring

The environmental management and planning community is struggling with a gap between knowledge and policy making. To bridge this gap, ‘decision support systems’, ‘planning support systems’, and other computer tools have been developed to make knowledge about complex issues more accessible for policy makers. However, the use of these systems in practice is limited. One major reason for this is that these systems are designed for well-defined problems, whereas in practice there is often a lack of stakeholder consensus on the problem structure. The aim of this paper is to present, and explore the potential of, a new approach for decision and planning support. The Quasta tool aims at facilitating participatory problem structuring through computer-supported cognitive mapping. The tool, allowing qualitative exploration of scenarios and simultaneous forecasting and backcasting, is tested in four participatory problem-structuring workshops, in which various environmental issues have been discussed. Evaluations of these workshops show that this approach (1) helps stakeholders to become aware of causal relationships, (2) is useful for a qualitative exploration of scenarios, (3) identifies the need for further (in-depth) knowledge, and (4) has a low threshold for nontechnicians.

[1]  Paul Schot,et al.  A SWOT Analysis of Planning Support Systems , 2007 .

[2]  Giampiero E. G. Beroggi Visual-interactive decision modeling (VIDEMO) in policy management: Bridging the gap between analytic and conceptual decision modeling , 2001, Eur. J. Oper. Res..

[3]  Simon Parsons,et al.  Context-specific sign-propagation in qualitative probabilistic networks , 2001, Artif. Intell..

[4]  K. Soini Exploring human dimensions of multifunctional landscapes through mapping and map-making , 2001 .

[5]  J. Petts,et al.  Expert Conceptualisations of the Role of Lay Knowledge in Environmental Decisionmaking: challenges for Deliberative Democracy , 2006 .

[6]  Edward A. Parson,et al.  Informing global environmental policy‐making: A plea for new methods of assessment and synthesis , 1997 .

[7]  Nicole Rijkens-Klomp,et al.  A look in the mirror: reflection on participation in Integrated Assessment from a methodological perspective , 2002 .

[8]  Bernard De Baets,et al.  Fuzzy rule-based models for decision support in ecosystem management. , 2004, The Science of the total environment.

[9]  Marjolein B.A. van Asselt,et al.  Integrated assessment of sustainable development: multiple perspectives in interaction , 1999 .

[10]  Ytsen Deelstra,et al.  Using knowledge for decision-making purposes in the context of large projects in The Netherlands , 2003 .

[11]  Richard E. Klosterman,et al.  An Update on Planning Support Systems , 2005 .

[12]  Cisca Joldersma,et al.  Methodology for participatory policy analysis , 2001, Eur. J. Oper. Res..

[13]  John Holmberg,et al.  Backcasting: A Natural Step in Operationalising Sustainable Development(*) , 1998 .

[14]  Michael P. Wellman,et al.  Inference in cognitive maps , 1994 .

[15]  John Stillwell,et al.  Planning Support Systems in Practice , 2003 .

[16]  M. Kaplowitz,et al.  A Soft Systems Approach to Watershed Management: A Road Salt Case Study , 2004, Environmental management.

[17]  P Healey,et al.  Building Institutional Capacity through Collaborative Approaches to Urban Planning , 1998 .

[18]  Thierry Marchant,et al.  Cognitive maps and fuzzy implications , 1999, Eur. J. Oper. Res..

[19]  Frank Van Kouwen,et al.  Applicability of Decision Support Systems for Integrated Coastal Zone Management , 2007 .

[20]  Frank van Kouwen,et al.  A framework for linking advanced simulation models with interactive cognitive maps , 2008, Environ. Model. Softw..

[21]  M. Quaddus,et al.  Group Decision Support Using Fuzzy Cognitive Maps for Causal Reasoning , 2004 .

[22]  John Robinson Future subjunctive: backcasting as social learning , 2003 .

[23]  Colin Eden,et al.  Analyzing cognitive maps to help structure issues or problems , 2004, Eur. J. Oper. Res..

[24]  M. J. Kolkman,et al.  Mental model mapping as a new tool to analyse the use of information in decision-making in integrated water management , 2005 .

[25]  Bert Bredeweg,et al.  User Manual for Single-User Version of QR Workbench , 2005 .

[26]  S. Renooij Qualitative approaches to quantifying probabilistic networks , 2001 .

[27]  Guido Antonius Vonk,et al.  Improving Planning Support : The use of planning support systems for spatial planning , 2006 .

[28]  Uygar Özesmi,et al.  Ecological models based on people’s knowledge: a multi-step fuzzy cognitive mapping approach , 2004 .

[29]  P. Glasbergen,et al.  The policy laboratory for sustainable development , 2003 .

[30]  Jonathan Rosenhead,et al.  Problem structuring methods in action , 2004, Eur. J. Oper. Res..

[31]  J. Sluijs,et al.  The Inclusion of Stakeholder Knowledge and Perspectives in Integrated Assessment of Climate Change , 2006 .

[32]  Michael P. Wellman Fundamental Concepts of Qualitative Probabilistic Networks , 1990, Artif. Intell..

[33]  A. Presley,et al.  The role of soft systems methodology in planning for sustainable production , 2002 .

[34]  C. Eden,et al.  Using Causal Mapping with Group Support Systems to Elicit an Understanding of Failure in Complex Projects: Some Implications for Organizational Research , 2005 .

[35]  Dean Tjosvold,et al.  Book review : Group model building : facilitating team learning using system dynamics , 1998 .

[36]  M. Kerkhof,et al.  Making a difference: On the constraints of consensus building and the relevance of deliberation in stakeholder dialogues , 2006 .

[37]  R. Ison,et al.  A Systemic Approach to Scoping of Factors Influencing More Sustainable Land Use in Herefordshire , 2006 .

[38]  Simon Parsons,et al.  Propagation of Multiple Observations in QPNs Revisited , 2002, ECAI.

[39]  Matthijs Hisschemöller,et al.  Coping with intractable controversies: The case for problem structuring in policy design and analysis , 1995 .

[40]  Marek J. Druzdzel,et al.  Efficient Reasoning in Qualitative Probabilistic Networks , 1993, AAAI.