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Preparing for the crises after COVID-19: Systematic foresight as a tool for evidence-informed precautionary policy

[Stellungnahme]

Brozus, Lars

Körperschaftlicher Herausgeber
Stiftung Wissenschaft und Politik -SWP- Deutsches Institut für Internationale Politik und Sicherheit

Abstract

Political decision-makers are regularly confronted with a large number of hypothetical crises. State and society expect them to make appropriate provisions to tackle these scenarios simultaneously. However, adequate preparation for all conceivable incidents in the future far exceeds the available re... mehr

Political decision-makers are regularly confronted with a large number of hypothetical crises. State and society expect them to make appropriate provisions to tackle these scenarios simultaneously. However, adequate preparation for all conceivable incidents in the future far exceeds the available resources. Decision-makers must therefore deter­mine which of these imaginary crises should take priority. Factors such as the public visibility and likelihood of an expected crisis and the damage it is anticipated to cause play an important role in this decision. Also at play are analogy-based reason­ing and political intuition. COVID-19 illustrates that these future heuristics entail significant decision-making risks. Despite many warnings about the consequences the spread of infectious diseases could have globally, hardly any state was adequately pre­pared. Taking credible predictions through systematic foresight into account would help decision-makers to set priorities for prevention that would be easier to explain and justify. (Autorenreferat)... weniger

Klassifikation
Gesundheitspolitik

Sprache Dokument
Englisch

Publikationsjahr
2020

Erscheinungsort
Berlin

Seitenangabe
4 S.

Schriftenreihe
SWP Comment, 51/2020

DOI
https://doi.org/10.18449/2020C51

ISSN
1861-1761

Status
Veröffentlichungsversion; begutachtet

Lizenz
Deposit Licence - Keine Weiterverbreitung, keine Bearbeitung


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.