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S10: Participatory and Conceptual Modelling – Making Models Amenable to Stakeholders’ Concerns

Page: Main.S10 - Last Modified : Sun, 29 Jun 08

Main.S10 History

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June 29, 2008, at 10:28 AM by 62.57.49.68 -
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(:cell bgcolor=#b0c4de :) 'Multi-Agent Models for Teaching, Extension and Collaborative Learning'
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(:cell bgcolor=#b0c4de :) [[Attach: S10-01-Berger_et_al-IEMSS2008.pdf | 'Multi-Agent Models for Teaching, Extension and Collaborative Learning']]
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(:cell :) 'Addressing stakeholder concerns using the Integrative River Rehabilitation Model (IRRM)'
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(:cell :) [[Attach: S10-02-Borsuk_et_al-IEMSS2008.pdf | 'Addressing stakeholder concerns using the Integrative River Rehabilitation Model (IRRM)']]
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(:cell bgcolor=#b0c4de :) 'Participatory Approaches in Developing a Model to Assist Water Resource Management in a Catchment in the Solomon Islands'
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(:cell bgcolor=#b0c4de :) [[Attach: S10-03-Chan_et_al-IEMSS2008.pdf | 'Participatory Approaches in Developing a Model to Assist Water Resource Management in a Catchment in the Solomon Islands']]
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(:cell :) 'Improving communication in urban planning using TOPIC-COHESIE'
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(:cell :) [[Attach: S10-04-van Delden_et_al-IEMSS2008.pdf | 'Improving communication in urban planning using TOPIC-COHESIE']]
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(:cell bgcolor=#b0c4de :) 'ARDI: a co-construction method for participatory modelling in natural resources management'
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(:cell bgcolor=#b0c4de :) [[Attach: S10-05-Etienne_et_al-IEMSS2008.pdf | 'ARDI: a co-construction method for participatory modelling in natural resources management']]
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(:cell :) 'An Evolutionary Bayesian Belief Networkbased Methodology for Adaptive Water Management'
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(:cell :) [[Attach: S10-06-Farmani_et_al-IEMSS2008.pdf | 'An Evolutionary Bayesian Belief Networkbased Methodology for Adaptive Water Management']]
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(:cell bgcolor=#b0c4de :) 'The integration of Expert and Stakeholder Cognitive Models to support Environmental Monitoring'
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(:cell bgcolor=#b0c4de :) [[Attach: S10-07-Giordano_et_al-IEMSS2008.pdf | 'The integration of Expert and Stakeholder Cognitive Models to support Environmental Monitoring']]
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(:cell :) 'Participatory process management'
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(:cell :) [[Attach: S10-08-Krywkow_et_al-IEMSS2008.pdf | 'Participatory process management']]
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(:cell bgcolor=#b0c4de :) 'The Event Bush as a Potential Complex Methodology of Conceptual Modelling in the Geosciences'
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(:cell bgcolor=#b0c4de :) [[Attach: S10-09-Pshenichny_et_al-IEMSS2008.pdf | 'The Event Bush as a Potential Complex Methodology of Conceptual Modelling in the Geosciences']]
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(:cell :) 'Connecting Science and Decision-making: A Conceptual Framework through Organisation Knowledge Management'
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(:cell :) [[Attach: S10-10-Siew_et_al-IEMSS2008.pdf | 'Connecting Science and Decision-making: A Conceptual Framework through Organisation Knowledge Management']]
June 27, 2008, at 05:39 PM by 147.83.72.215 -
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(:cellnr colspan=5 align=center :) %blue% [++'''Tuesday 8'''++]\\
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(:cellnr colspan=5 align=center :) [+'''Tuesday 8'''+]
June 06, 2008, at 12:52 PM by 89.131.108.230 -
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''''' ''''',
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(:cell bgcolor=#b0c4de :) 'Multi-Agent Models for Teaching, Extension and Collaborative Learning'
(:cell bgcolor=#b0c4de :) '''''T. Berger''''' and P. Schreinemachers
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(:cell :) ''''' ''''',
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(:cell :) 'Addressing stakeholder concerns using the Integrative River Rehabilitation Model (IRRM)'
(:cell :) '''''M. E. Borsuk''''', S. Schweizer and P. Reichert
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(:cell bgcolor=#b0c4de :) ''''' ''''',
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(:cell bgcolor=#b0c4de :) 'Participatory Approaches in Developing a Model to Assist Water Resource Management in a Catchment in the Solomon Islands'
(:cell bgcolor=#b0c4de :) '''''T. Chan''''', B. Powell, S. Hoverman and H. Ross
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(:cell :) '''''
''''',
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(:cell :) 'Improving communication in urban planning using TOPIC-COHESIE'
(:cell :) '''''H. van Delden''''', P. Valkering, P. Luja, M. van de Lindt and V. Neevel
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:cell bgcolor=#b0c4de :) ''''' ''''',
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(:cell bgcolor=#b0c4de :) 'ARDI: a co-construction method for participatory modelling in natural resources management'
(:cell bgcolor=#b0c4de :) '''''M. Etienne''''', D. Du Toit and S. Pollard
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(:cell :) ''''' ''''',
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(:cell :) 'An Evolutionary Bayesian Belief Networkbased Methodology for Adaptive Water Management'
(:cell :) '''''R. Farmani''''' and D. Savic
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(:cell bgcolor=#b0c4de :) ''''' ''''',
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(:cell bgcolor=#b0c4de :) 'The integration of Expert and Stakeholder Cognitive Models to support Environmental Monitoring'
(:cell bgcolor=#b0c4de :) '''''R. Giordano''''', S. Liersch, M. Vurro and V.F. Uricchio
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(:cell :) 'Participatory process management'
(:cell :) '''''J. Krywkow''''' and M. Hare
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(:cell bgcolor=#b0c4de :) ''''' ''''',
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(:cell bgcolor=#b0c4de :) 'The Event Bush as a Potential Complex Methodology of Conceptual Modelling in the Geosciences'
(:cell bgcolor=#b0c4de :) '''''Pshenichny C. A.''''', Nikolenko S. I., Carniel R., Sobissevitch A.L., Vaganov P. A., Khrabrykh Z. V., Moukhachov, V. P., Shterkhun V. L., Rezyapkin A. A., Yakovlev, A.V., Fedukov, R.A. and Gusev, E.A.
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(:cell :) 'Connecting Science and Decision-making: A Conceptual Framework through Organisation Knowledge Management'
(:cell :) '''''T.F. Siew'''''
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June 06, 2008, at 12:40 PM by 89.131.108.230 -
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(:table border=0 width=100% align=center cellspacing=1 cellpadding=6' :)
(:cellnr align=center width=10% :) '''Time'''
(:cell align=center width=43% :) '''Title'''
(:cell align=center width=43% :) '''Authors'''
(:cell align=center width=5% :) '''Place'''
(:cellnr colspan=5 align=center :) [+'''Tuesday 8'''+]
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(:tableend:)
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->'''Carmel A. Pollino, Integrated Catchment Assessment and Management C., The Australian Nat. Univ., Australia'''
->'''Anthony J. Jakeman, Integrated Catchment Assessment and Management C., The Australian Nat. Univ., Australia'''
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->'''Carmel A. Pollino, Integrated Catchment Assessment and Management C., The Austr. Nat. Univ., Australia'''
->'''Anthony J. Jakeman, Integrated Catchment Assessment and Management C., The Austr. Nat. Univ., Australia'''
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->'''Carmel A. Pollino, Integrated Catchment Assessment and Management Centre, The Australian Nat. Univ., Australia'''
->'''Anthony J. Jakeman, Integrated Catchment Assessment and Management Centre, The Australian Nat. Univ., Australia'''
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->'''Carmel A. Pollino, Integrated Catchment Assessment and Management C., The Australian Nat. Univ., Australia'''
->'''Anthony J. Jakeman, Integrated Catchment Assessment and Management C., The Australian Nat. Univ., Australia'''
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->'''Carmel A. Pollino, Integrated Catchment Assessment and Management Centre, The Australian Nat. University, Australia'''
->'''Anthony J. Jakeman, Integrated Catchment Assessment and Management Centre, The Australian Nat. University, Australia'''
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->'''Carmel A. Pollino, Integrated Catchment Assessment and Management Centre, The Australian Nat. Univ., Australia'''
->'''Anthony J. Jakeman, Integrated Catchment Assessment and Management Centre, The Australian Nat. Univ., Australia'''
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->'''Carmel A. Pollino, Integrated Catchment Assessment and Management Centre, The Australian National University, Canberra, Australia'''
->'''Anthony J. Jakeman, Integrated Catchment Assessment and Management Centre, The Australian National University, Canberra, Australia'''
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->'''Carmel A. Pollino, Integrated Catchment Assessment and Management Centre, The Australian Nat. University, Australia'''
->'''Anthony J. Jakeman, Integrated Catchment Assessment and Management Centre, The Australian Nat. University, Australia'''
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->'''Carmel A. Pollino, Integrated Catchment Assessment and Management Centre, The Australian National University, Canberra, Australia'''
->'''Anthony J. Jakeman, Integrated Catchment Assessment and Management Centre, The Australian National University, Canberra, Australia'''
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->'''Nigel Quinn HydroEcological Engineering Advanced Decision Support, Berkeley National Laboratory, Berkeley, USA'''
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->'''Nigel Quinn HydroEcological Engineering Advanced Decision Support, Berkeley National Laboratory, USA'''
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->'''Dr Nigel Quinn HydroEcological Engineering Advanced Decision Support, Berkeley National Laboratory, Berkeley, USA'''
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->'''Nigel Quinn HydroEcological Engineering Advanced Decision Support, Berkeley National Laboratory, Berkeley, USA'''
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!!Description
Models are fundamental instruments for scientific inquiry but their use in and for public policy making can be controversial. The use of models to legitimise regulatory decisions is challenged on various grounds, including uncertainty which is embodied in models and an inevitable component of modelling practices. The subjectivity of model evaluation is another point of contention, since models are evaluated not only according to rigorous scientific criteria but also plausible judgements of policy usefulness. In addition, models are often sufficiently complex to preclude scrutiny and challenge by those who are adversely affected by the regulations. Intuition and intelligent guesswork contained in models in the form of tacit assumptions make it difficult even for researchers from neighbourhood disciplines to adequately appreciate the limitations of models. For these and other reasons the use of models for policy decisions has been the main focus of political debates in areas such as climate change policy, biodiversity protection, and environment-related diseases and health risks.
In this session we address conceptual modelling techniques such as causal loop diagrams, cognitive maps and their fuzzy counterparts, other problem structuring methods, qualitative probabilistic networks, value and decision trees, Bayesian belief networks, influence diagram, stock and flow diagram, reasoning map and other techniques and tools which facilitate transparent development of models and bolster these potential to promote consensus and cooperation. These techniques are similar in scope as they all capture views and concerns of non-scientists and help to incorporate them in models. All conceptual models consist of elements (concepts) which symbolize relevant aspects of the modelled phenomena, and connections between them which are indicative of implications or cause effect relations. However, the techniques differ widely in terms of purpose, meaning and content of the models. In the workshop, particular attention will be paid to how different techniques capture uncertainty, and to what extent the conceptual models instigate conciliation between different worldview/beliefs. Not only, discussion will be encouraged about how and whether conceptual models increase the acceptance of simulation (mathematical) models and scenarios built on their basis.
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!!Description
Models are fundamental instruments for scientific inquiry but their use in and for public policy making can be controversial. The use of models to legitimise regulatory decisions is challenged on various grounds, including uncertainty which is embodied in models and an inevitable component of modelling practices. The subjectivity of model evaluation is another point of contention, since models are evaluated not only according to rigorous scientific criteria but also plausible judgements of policy usefulness. In addition, models are often sufficiently complex to preclude scrutiny and challenge by those who are adversely affected by the regulations. Intuition and intelligent guesswork contained in models in the form of tacit assumptions make it difficult even for researchers from neighbourhood disciplines to adequately appreciate the limitations of models. For these and other reasons the use of models for policy decisions has been the main focus of political debates in areas such as climate change policy, biodiversity protection, and environment-related diseases and health risks.
In this session we address conceptual modelling techniques such as causal loop diagrams, cognitive maps and their fuzzy counterparts, other problem structuring methods, qualitative probabilistic networks, value and decision trees, Bayesian belief networks, influence diagram, stock and flow diagram, reasoning map and other techniques and tools which facilitate transparent development of models and bolster these potential to promote consensus and cooperation. These techniques are similar in scope as they all capture views and concerns of non-scientists and help to incorporate them in models. All conceptual models consist of elements (concepts) which symbolize relevant aspects of the modelled phenomena, and connections between them which are indicative of implications or cause effect relations. However, the techniques differ widely in terms of purpose, meaning and content of the models. In the workshop, particular attention will be paid to how different techniques capture uncertainty, and to what extent the conceptual models instigate conciliation between different worldview/beliefs. Not only, discussion will be encouraged about how and whether conceptual models increase the acceptance of simulation (mathematical) models and scenarios built on their basis.
October 12, 2007, at 01:34 AM by 89.131.108.230 -
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!!Organisers

->'''Raffaele Giordani, National Research Council -Water Research Institute (CNR -- IRSA), Bari, Italy'''
->'''Carlo Giupponi, Dipartimento di Produzione Vegetale, University of Milan, Italy '''
->'''Dr Nigel Quinn HydroEcological Engineering Advanced Decision Support, Berkeley National Laboratory, Berkeley, USA'''
->'''Farmani Raziyeh, Informatics Research Institute (IRI), University of Exeter, UK'''
->'''[to be confirmed] Piotr Magnuszewski, Institute of Physics, Wroclaw University of Technology, Wroclaw, Poland'''

!!Description
Models are fundamental instruments for scientific inquiry but their use in and for public policy making can be controversial. The use of models to legitimise regulatory decisions is challenged on various grounds, including uncertainty which is embodied in models and an inevitable component of modelling practices. The subjectivity of model evaluation is another point of contention, since models are evaluated not only according to rigorous scientific criteria but also plausible judgements of policy usefulness. In addition, models are often sufficiently complex to preclude scrutiny and challenge by those who are adversely affected by the regulations. Intuition and intelligent guesswork contained in models in the form of tacit assumptions make it difficult even for researchers from neighbourhood disciplines to adequately appreciate the limitations of models. For these and other reasons the use of models for policy decisions has been the main focus of political debates in areas such as climate change policy, biodiversity protection, and environment-related diseases and health risks.


!!Topics
For the session, submissions referring to theoretical analyses, reviews, or reports from practical applications of participatory and conceptual modelling techniques are welcome.
*Papers referring to causal loop diagrams, cognitive maps and their fuzzy counterparts, other problem structuring methods, qualitative probabilistic networks, value and decision trees, Bayesian belief networks, influence diagram, stock and flow diagram, reasoning map and other techniques,
*Papers dealing with theoretical aspects of participatory and conceptual modelling, and comparisons of various techniques,
*Practical examples and experiences from using the conceptual modelling techniques to promote consensus and incite collaboration among policy partners in environmental policy making,
*Presentation of software tools facilitating the participatory modelling.

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!!Schedule
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