Parameters, prediction, post-normal science and the precautionary principle: a roadmap for modelling for decision-making

By Daniel Haag, M. Kaupenjohann. 2001

121 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/3cc186c0541f91c5737044660c0af8b3f4e6ac36

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Jakko Kemper
2. Klaus Hubacek
3. Daan Kolkman
4. D. Guan
5. Kuishuang Feng
6. Zhu Liu
7. G. P. Peters
8. T. Wiedmann

In Global and Planetary Change

1. Jakko Kemper
2. V. D. de Jonge
3. Rute Pinto
4. Judy Brown
5. Klaus Hubacek
6. R. Kerry Turner
7. Bob Frame
8. Daan Kolkman

In Management Science and Operations Research

1. Jakko Kemper
2. Laurence Smith
3. Judy Brown
4. Klaus Hubacek
5. Bob Frame
6. Daan Kolkman

Citations in the corpus

• Developing post-normal technologies for sustainability (2008, background): “Post-normal science is concerned to ensure that its methods and results are accessible to stakeholders including those who participate in quality assurance processes as part of, for example, an extended peer community (Haag and Kaupenjohann, 2001).”
• Forms of Participatory Modelling and its Potential for Widespread Adoption in the Water Sector (2011, unknown): “Its popularity in natural resource management research is evidence, to some extent, of an acceptance of Haag and Kaupenjohann ’ s (2001) call for greater recognition of the difference modelling for scienti fi c research purposes and for supporting policy-and decision-making, the latter requiring,…”
• Integrating ecological, economic and social aspects to generate useful management information under the EU Directives' ‘ecosystem approach’ (2012, background): “Despite the fact that there is a lot of criticism in using dynamic models for predictive purposes (e.g. Haag and Kaupenjohann, 2001) they are, stimulated by requests from governmental authorities, widespread in use.”
• The role of expert opinion in environmental modelling (2012, background): “12 In addition, as the level of formal abstraction of models increases, so does the level of 13 simplifying assumptions (e.g. Haag and Kaupenjohann, 2001; Beven, 2009).”
• Transparent to whom? No algorithmic accountability without a critical audience (2018, methodology): “…scope of this paper, we adopt the following working de fi nition by drawing on the work of several authors (Frigg & Hartmann, 2012; Gross & Strand, 2000; Haag & Kaupenjohann, 2001; Minsky, 1965): an algorithmic model is a formal representation of an object that an observer can use to answer…”