The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Johanna Alkan Olsson outdoors. Photo.

Johanna Alkan Olsson

Social environmental scientist

Johanna Alkan Olsson outdoors. Photo.

Defining assessment projects and scenarios for policy support: Use of ontology in Integrated Assessment and Modelling

Author

  • S. Janssen
  • F. Ewert
  • Hongtao Li
  • I. N. Athanasiadis
  • J. J. F. Wien
  • O. Therond
  • M. J. R. Knapen
  • I. Bezlepkina
  • Johanna Alkan Olsson
  • A. E. Rizzoli
  • H. Belhouchette
  • Mats Svensson
  • M. K. van Ittersum

Summary, in English

Integrated Assessment and Modelling (IAM) provides an interdisciplinary approach to support ex-ante decision-making by combining quantitative models representing different systems and scales into a framework for integrated assessment. Scenarios in IAM are developed in the interaction between scientists and stakeholders to explore possible pathways of future development. As IAM typically combines models from different disciplines, there is a clear need for a consistent definition and implementation of scenarios across models, policy problems and scales. This paper presents such a unified conceptualization for scenario and assessment projects. We demonstrate the use of common ontologies in building this unified conceptualization, e.g. a common ontology on assessment projects and scenarios. The common ontology and the process of ontology engineering are used in a case study, which refers to the development of SEAMLESS-IF, an integrated modelling framework to assess agricultural and environmental policy options as to their contribution to sustainable development. The presented common ontology on assessment projects and scenarios can be reused by IAM consortia and if required, adapted by using the process of ontology engineering as proposed in this paper. (C) 2009 Elsevier Ltd. All rights reserved.

Department/s

  • LUCSUS (Lund University Centre for Sustainability Studies)

Publishing year

2009

Language

English

Pages

1491-1500

Publication/Series

Environmental Modelling & Software

Volume

24

Issue

12

Document type

Conference paper

Publisher

Elsevier

Topic

  • Social Sciences Interdisciplinary

Keywords

  • Integration
  • Knowledge management
  • Collaborative approach
  • Multi-disciplinary teams
  • Policy assessment

Conference name

2nd International Conference on Asian Simulation and Modelling

Conference date

2007-01-09 - 2007-01-11

Conference place

Chiang Mai, Thailand

Status

Published

ISBN/ISSN/Other

  • ISSN: 1364-8152
  • ISSN: 1873-6726