Autor: |
Frantzeskaki, N., De Haan, A., Kolfschoten, G.L., Walker, W. |
Jazyk: |
angličtina |
Rok vydání: |
2008 |
Předmět: |
|
Zdroj: |
ICERI 2008, International Conference of Education, Research and Innovation, Madrid, 17-19 November 2008 |
Popis: |
Modelling is of substantial use in policy analysis. Since policy analysis tries to facilitate decision making of complex multi-actor problems under uncertain circumstances, it needs to rationalize and simplify reality. This is the major challenge of doing policy analysis and especially modelling. The model as an abstract representation of the real system, should contain all (and preferably only) the relevant aspects of the real problem field. To acquire modelling skills requires lots of experience and training. We notice in our modelling courses that students have a distinct set of pitfalls when they try to model: abstraction pitfalls, labelling pitfalls, conceptual pitfalls, and analysis communication pitfalls. In this paper we give clear descriptions of each so that they are more easily recognisable. There are five recommended alternatives for which we provide concrete descriptions on how they are applied in practice. We labelled them as follows: (1) reiteration, (2) renaming or remaking, (3) keeping the big picture in mind, (4) returning to the roots, and (5) checking and doublechecking. Our systematic way of describing the pitfalls, including the potential solutions, should make it easier for teachers and supervisors to guide junior modellers in building better models for multi-actor systems. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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