Investigating science for governance through the lenses of complexity
This paper assesses the contributions of complexity theory to post-normal science. The oversupply of facts in science for governance is explained as a matter of complexity, defined as irreducible pluralism in the knowledge base. The paper shows how complexity provides an interface to engage with the...
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:188458 |
| Acceso en línea: | https://ddd.uab.cat/record/188458 https://dx.doi.org/urn:doi:10.1016/j.futures.2017.01.007 |
| Access Level: | acceso abierto |
| Palabra clave: | Complexity Science for policy Post-normal science Pluralism Post-truth Uncertainty |
| Sumario: | This paper assesses the contributions of complexity theory to post-normal science. The oversupply of facts in science for governance is explained as a matter of complexity, defined as irreducible pluralism in the knowledge base. The paper shows how complexity provides an interface to engage with the multiple facts of science through three different examples. First, water narratives are used to show how different scales of analysis produce contradictory scientific representations of the same system. Second, smart electricity grids are assessed to demonstrate how different levels of uncertainty are associated with different representations. Third, the case of slum upgrading is used to discuss the need to take into account stakes in science for governance. |
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