Realizing modelling outcomes: A synthesis of success factors and their use in a retrospective analysis of 15 Australian water resource projects

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Realizing modelling outcomes : A synthesis of success factors and their use in a retrospective analysis of 15 Australian water resource projects. / Merritt, W. S.; Fu, Baihua; Ticehurst, J. L.; El Sawah, S.; Vigiak, O.; Roberts, A. M.; Dyer, F.; Pollino, C. A.; Guillaume, J. H. A.; Croke, B.F.W.; Jakeman, Anthony J.

In: Environmental Modelling and Software, Vol. 94, 08.2017, p. 63-72.

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Merritt, W. S. ; Fu, Baihua ; Ticehurst, J. L. ; El Sawah, S. ; Vigiak, O. ; Roberts, A. M. ; Dyer, F. ; Pollino, C. A. ; Guillaume, J. H. A. ; Croke, B.F.W. ; Jakeman, Anthony J. / Realizing modelling outcomes : A synthesis of success factors and their use in a retrospective analysis of 15 Australian water resource projects. In: Environmental Modelling and Software. 2017 ; Vol. 94. pp. 63-72.

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@article{11d3ecbc84b145019eaf87626bf68de8,
title = "Realizing modelling outcomes: A synthesis of success factors and their use in a retrospective analysis of 15 Australian water resource projects",
abstract = "We review several papers that have afforded insights into determinants of positive outcomes (e.g. the adoption of tools, improved learning and/or collaboration) from modelling projects. From a subsequent internet search in the environmental domain we identified 33 such factors that are then invoked in a transferable survey-based method to facilitate structured reflections by model developers on 15 projects. Four factors were considered most necessary to realize overall success for any modelling project. Three factors related to aspects of stakeholder engagement in the modelling process; the other to critical thinking around problem framing and the role(s) of models. The latter factor was considered reasonably well-achieved across the projects. Harder to control were the stakeholder engagement factors which, along with project management considerations, can constrain or enable achievement of other factors. The paper provides further evidence of the critical need to consider non-technical aspects in the design and implementation of modelling projects. (C) 2017 Elsevier Ltd. All rights reserved.",
keywords = "Decision support, Evaluation, Water resources, Stakeholders, Social learning, Integrated modelling, DECISION-SUPPORT-SYSTEMS, CLIMATE-CHANGE, INTEGRATED ASSESSMENT, MANAGEMENT, CATCHMENT, FRAMEWORK, METHODOLOGY, SIMULATION, UNCERTAINTY, ADAPTATION",
author = "Merritt, {W. S.} and Baihua Fu and Ticehurst, {J. L.} and {El Sawah}, S. and O. Vigiak and Roberts, {A. M.} and F. Dyer and Pollino, {C. A.} and Guillaume, {J. H. A.} and B.F.W. Croke and Jakeman, {Anthony J}",
year = "2017",
month = "8",
doi = "10.1016/j.envsoft.2017.03.021",
language = "English",
volume = "94",
pages = "63--72",
journal = "Environmental Modelling & Software",
issn = "1364-8152",

}

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TY - JOUR

T1 - Realizing modelling outcomes

T2 - A synthesis of success factors and their use in a retrospective analysis of 15 Australian water resource projects

AU - Merritt, W. S.

AU - Fu, Baihua

AU - Ticehurst, J. L.

AU - El Sawah, S.

AU - Vigiak, O.

AU - Roberts, A. M.

AU - Dyer, F.

AU - Pollino, C. A.

AU - Guillaume, J. H. A.

AU - Croke, B.F.W.

AU - Jakeman, Anthony J

PY - 2017/8

Y1 - 2017/8

N2 - We review several papers that have afforded insights into determinants of positive outcomes (e.g. the adoption of tools, improved learning and/or collaboration) from modelling projects. From a subsequent internet search in the environmental domain we identified 33 such factors that are then invoked in a transferable survey-based method to facilitate structured reflections by model developers on 15 projects. Four factors were considered most necessary to realize overall success for any modelling project. Three factors related to aspects of stakeholder engagement in the modelling process; the other to critical thinking around problem framing and the role(s) of models. The latter factor was considered reasonably well-achieved across the projects. Harder to control were the stakeholder engagement factors which, along with project management considerations, can constrain or enable achievement of other factors. The paper provides further evidence of the critical need to consider non-technical aspects in the design and implementation of modelling projects. (C) 2017 Elsevier Ltd. All rights reserved.

AB - We review several papers that have afforded insights into determinants of positive outcomes (e.g. the adoption of tools, improved learning and/or collaboration) from modelling projects. From a subsequent internet search in the environmental domain we identified 33 such factors that are then invoked in a transferable survey-based method to facilitate structured reflections by model developers on 15 projects. Four factors were considered most necessary to realize overall success for any modelling project. Three factors related to aspects of stakeholder engagement in the modelling process; the other to critical thinking around problem framing and the role(s) of models. The latter factor was considered reasonably well-achieved across the projects. Harder to control were the stakeholder engagement factors which, along with project management considerations, can constrain or enable achievement of other factors. The paper provides further evidence of the critical need to consider non-technical aspects in the design and implementation of modelling projects. (C) 2017 Elsevier Ltd. All rights reserved.

KW - Decision support

KW - Evaluation

KW - Water resources

KW - Stakeholders

KW - Social learning

KW - Integrated modelling

KW - DECISION-SUPPORT-SYSTEMS

KW - CLIMATE-CHANGE

KW - INTEGRATED ASSESSMENT

KW - MANAGEMENT

KW - CATCHMENT

KW - FRAMEWORK

KW - METHODOLOGY

KW - SIMULATION

KW - UNCERTAINTY

KW - ADAPTATION

U2 - 10.1016/j.envsoft.2017.03.021

DO - 10.1016/j.envsoft.2017.03.021

M3 - Article

VL - 94

SP - 63

EP - 72

JO - Environmental Modelling & Software

JF - Environmental Modelling & Software

SN - 1364-8152

ER -

ID: 14455171