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

Research output: Contribution to journalArticleScientificpeer-review

Researchers

  • W. S. Merritt
  • Baihua Fu
  • J. L. Ticehurst
  • S. El Sawah
  • O. Vigiak
  • A. M. Roberts
  • F. Dyer
  • C. A. Pollino
  • Joseph Guillaume

  • B.F.W. Croke
  • Anthony J Jakeman

Research units

  • Australian National University
  • University of Canberra
  • University of New South Wales
  • European Commission Joint Research Centre at Ispra
  • Ludwig Maximilian University of Munich
  • Natural Decisions
  • CSIRO

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.

Details

Original languageEnglish
Pages (from-to)63-72
Number of pages10
JournalEnvironmental Modelling and Software
Volume94
Publication statusPublished - Aug 2017
MoE publication typeA1 Journal article-refereed

    Research areas

  • Decision support, Evaluation, Water resources, Stakeholders, Social learning, Integrated modelling, DECISION-SUPPORT-SYSTEMS, CLIMATE-CHANGE, INTEGRATED ASSESSMENT, MANAGEMENT, CATCHMENT, FRAMEWORK, METHODOLOGY, SIMULATION, UNCERTAINTY, ADAPTATION

ID: 14455171