On Modeling Worldviews in Quantitative Decision Support. Issue 6 (11th May 2021)
- Record Type:
- Journal Article
- Title:
- On Modeling Worldviews in Quantitative Decision Support. Issue 6 (11th May 2021)
- Main Title:
- On Modeling Worldviews in Quantitative Decision Support
- Authors:
- Stern, Paul C.
- Abstract:
- Abstract: To inform decisions under deep uncertainty, risk analysts need to consider how best to deal with the fact that stakeholders often do not share specific concerns or fundamental perspectives. Lempert and Turner propose that deliberation can improve if models incorporate three worldviews defined in social science theory. This commentary suggests that competence and legitimacy are more likely to emerge from deliberation when models are built inductively, inquiring first about stakeholders' decision‐relevant concerns and then developing models to speak to them. The added complexity of Lempert and Turner's modeling approach presents difficult tradeoffs with accessibility and trust.
- Is Part Of:
- Risk analysis. Volume 41:Issue 6(2021)
- Journal:
- Risk analysis
- Issue:
- Volume 41:Issue 6(2021)
- Issue Display:
- Volume 41, Issue 6 (2021)
- Year:
- 2021
- Volume:
- 41
- Issue:
- 6
- Issue Sort Value:
- 2021-0041-0006-0000
- Page Start:
- 870
- Page End:
- 873
- Publication Date:
- 2021-05-11
- Subjects:
- Technology -- Risk assessment -- Periodicals
658.403 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1539-6924 ↗
http://www.blackwellpublishers.co.uk/Online ↗
http://www.blackwellpublishing.com/journal.asp?ref=0272-4332 ↗
http://www.ingenta.com/journals/browse/bpl/risk ↗
http://www.wkap.nl/jrnltoc.htm/0272-4332 ↗
http://onlinelibrary.wiley.com/ ↗
http://firstsearch.oclc.org ↗
http://firstsearch.oclc.org/journal=0272-4332;screen=info;ECOIP ↗ - DOI:
- 10.1111/risa.13749 ↗
- Languages:
- English
- ISSNs:
- 0272-4332
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 7972.583000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17345.xml