SrasV1, France, Analysis, bibRecord, 000062

Inventing Prediction for Regulation: The Development of (Quantitative) Structure-Activity Relationships for the Assessment of Chemicals at the US Environmental Protection Agency.

Identifieur interne : 000062 ( France/Analysis ); précédent : 000061; suivant : 000063

Inventing Prediction for Regulation: The Development of (Quantitative) Structure-Activity Relationships for the Assessment of Chemicals at the US Environmental Protection Agency.

Auteurs : Henri Boullier [France] ; David Demortain [France] ; Maurice Zeeman [États-Unis]

Source :

Science & Technology Studies [ 2243-4690 ] ; 2019.

RBID : Hal:halshs-02132711

English descriptors

mix :
- Environmental Protection Agency, QSAR, SAR, Structure-activity relationships, environmental protection agency, industrial chemicals, modelling, prediction, regulation, regulatory knowledge, structure-activity relationships.

Abstract

In policies targeting environmental and health hazards, an effort is frequently made to anticipate and avert more or less probable adverse events. In this context, computerized models are often portrayed as superior knowledge tools, for their capacity to extrapolate from existing data and predict hazards. This paper looks at the historical development and use of such models in regulation, with the specific example of structure-activity relationships (SARs) in the regulation of new industrial chemicals at the US Environmental Protection Agency (EPA). It asks how evidential culture(s) in a regulatory organization change, in particular how new methods and forms of knowledge find their place alongside others to forge regulatory decisions. The development and application of, first, a qualitative approach to structure-activity relationships, and then of quantitative models, show that the EPA had the necessary autonomy to imagine and adjust a method emerging in the research environment to respond to regulatory needs. This can be understood from a coproductionist perspective, if adjusted to take into account the bureaucratic knowledge that mediates the imagining and application of prediction in regulatory practice.

Url:

Affiliations:

Links to Exploration step

Hal:halshs-02132711

Le document en format XML

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<front><div type="abstract" xml:lang="en">              <p>In policies targeting environmental and health hazards, an effort is frequently made to anticipate and avert more or less probable adverse events. In this context, computerized models are often portrayed as superior knowledge tools, for their capacity to extrapolate from existing data and predict hazards. This paper looks at the historical development and use of such models in regulation, with the specific example of structure-activity relationships (SARs) in the regulation of new industrial chemicals at the US Environmental Protection Agency (EPA). It asks how evidential culture(s) in a regulatory organization change, in particular how new methods and forms of knowledge find their place alongside others to forge regulatory decisions. The development and application of, first, a qualitative approach to structure-activity relationships, and then of quantitative models, show that the EPA had the necessary autonomy to imagine and adjust a method emerging in the research environment to respond to regulatory needs. This can be understood from a coproductionist perspective, if adjusted to take into account the bureaucratic knowledge that mediates the imagining and application of prediction in regulatory practice.</p>
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   |area=    SrasV1
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   |étape=   Analysis
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   |clé=     Hal:halshs-02132711
   |texte=   Inventing Prediction for Regulation: The Development of (Quantitative) Structure-Activity Relationships for the Assessment of Chemicals at the US Environmental Protection Agency.
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Inventing Prediction for Regulation: The Development of (Quantitative) Structure-Activity Relationships for the Assessment of Chemicals at the US Environmental Protection Agency.

Inventing Prediction for Regulation: The Development of (Quantitative) Structure-Activity Relationships for the Assessment of Chemicals at the US Environmental Protection Agency.

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