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Democracy, Expertise, and Energy. The Case of Climate and Energy Modelling

The Case of Climate and Energy Modelling
Authors: Palazzi, Franco;

Democracy, Expertise, and Energy. The Case of Climate and Energy Modelling

Abstract

This article analyses the tensions between democracy and expertise in the context of contemporary climate and energy policies, and focuses on the role of scientific models in the production and management of those tensions. In doing so, the article develops a markedly interdisciplinary approach by combining concepts and tools coming from political philosophy, philosophy of science and science and technology studies. The first section introduces some of the main interconnections between democratic regimes, expert knowledge and energy systems. The second section explores the role of scientific modelling in current climate science and energy policy debates, also highlighting the epistemic and political challenges raised by both climate models and Integrated Assessment Models-the most widely-used models in the energy field. The third section proposes an interdisciplinary critique of the recourse to IAMs as policy-making tools, bringing together studies of model performativity and epistemic ideology critique.

Country
Netherlands
Related Organizations
Keywords

epistemic democracy, scientific models, climate change, IAMs, epistemic ideology critique, VALUES, UNCERTAINTIES, epistocracy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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