scholarly journals Covid-19: Chaotic decision making and failure to communicate undermined government response, says report

BMJ ◽  
2020 ◽  
pp. m4940
Author(s):  
Shaun Griffin
Keyword(s):  
Decision Making ◽  
Government Response

scholarly journals Government Authority and the Covid-19 Lockdown

2020 ◽  
Vol 16 (3) ◽  
Author(s):  
Janine Hayward
Keyword(s):  
Decision Making ◽  
Emergency Management ◽  
National Security ◽  
Constitutional Change ◽  
Government Response ◽  
Decision Making Processes ◽  
Civil Defence ◽  
National Emergency ◽  
Epidemic Response ◽  
Government Authority

During the national lockdown, Cabinet exercised extraordinary authority in response to the Covid-19 pandemic. This article summarises the circumstances leading up to the adjournment of Parliament in late March, and the decision-making processes in place during the lockdown. This includes the national security system and all-of-government response to the crisis, as well as the key legislative triggers for the government’s response: the Epidemic Preparedness Act 2006 (and the epidemic notice) and the Civil Defence Emergency Management Act 2002 (and the state of national emergency). It also discusses decision making by the Covid-19 Ministerial Group and the Epidemic Response Committee while Parliament was adjourned. It argues that Cabinet exercised appropriate authority in response to the crisis and did not make significant, permanent or constitutional change.

scholarly journals Pandemic vulnerability knowledge visualisation for strategic decision-making: a COVID-19 index for government response in Australia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tan Yigitcanlar ◽  
Nayomi Kankanamge ◽  
Tommi Inkinen ◽  
Luke Butler ◽  
Alexander Preston ◽  
...  
Keyword(s):  
Decision Making ◽  
Design Methodology ◽  
Composite Index ◽  
Strategic Decision ◽  
Strategic Decision Making ◽  
Virus Spread ◽  
Vulnerability Factors ◽  
Knowledge Maps ◽  
Content Type ◽  
Government Response

PurposeFirst, the key vulnerability factors from the literature are identified. Second, using the vulnerability factors as indicators, a composite index is developed. Last, from the index values, a set of vulnerability knowledge maps, showing the vulnerability hotspots, are prepared.Design/methodology/approachThis study aims to develop a pandemic vulnerability knowledge visualisation index to support the strategic decision-making efforts of authorities.FindingsTen indicators are identified as vulnerability factors that could significantly impact the virus spread risks. Verifying the identified hotspots against the recorded infected cases and deaths has evidenced the usefulness of the index. Determining and visualising the high-vulnerability locations and communities could help in informed strategic decision-making and responses of the authorities to the pandemic.Originality/valueThe study demonstrates that the developed pandemic vulnerability knowledge visualisation index is particularly appropriate in the context of Australia. Nonetheless, by replicating the methodologic steps of the study, customised versions can be developed for other country contexts.

Perceptions of Decision-Making Roles and Priorities that Affect Rebuilding after Disaster: The Example of L'Aquila, Italy

2013 ◽  
Vol 29 (3) ◽  
pp. 843-868 ◽  
Author(s):  
Abbie B. Liel ◽  
Ross B. Corotis ◽  
Guido Camata ◽  
Jeannette Sutton ◽  
Rose Holtzman ◽  
...  
Keyword(s):  
Decision Making ◽  
Community Involvement ◽  
Public Involvement ◽  
Face To Face ◽  
Government Response ◽  
National Leaders ◽  
One Year ◽  
The One ◽  
Local Leaders

This study examines decision making for recovery and reconstruction in L'Aquila, Italy, over the one-year period following the 6 April 2009 earthquake. The paper focuses on local and national perceptions of government response to the earthquake, community involvement in reconstruction decision processes, the establishment of rebuilding priorities, and prospects for future seismic risk reduction. Data were collected through 23 semi-structured, face-to-face key informant interviews with local leaders (including community, building industry, and government representatives) and 4 interviews with national leaders. Findings show that although local leaders were satisfied with the Department of Civil Protection's emergency response, there was frustration with funding and priorities for permanent rebuilding. Public involvement in decision making varied by community, but in most cases was limited, leading local leaders to express distrust in government and national leadership and their decisions. The case study also illustrates the importance of authority and resource coordination between the national and local levels.

Discarding optimality: Throwing out the baby with the bathwater?

2018 ◽  
Vol 41 ◽  
Author(s):  
Patrick Simen ◽  
Fuat Balcı
Keyword(s):  
Decision Making ◽  
Perceptual Decision Making ◽  
Reward Rate ◽  
Perceptual Decision ◽  
Standard Observer ◽  
Rate Maximization ◽  
Reward Rate Maximization ◽  
Descriptive Standard ◽  
Observer Model

AbstractRahnev & Denison (R&D) argue against normative theories and in favor of a more descriptive “standard observer model” of perceptual decision making. We agree with the authors in many respects, but we argue that optimality (specifically, reward-rate maximization) has proved demonstrably useful as a hypothesis, contrary to the authors’ claims.

LPCD framework: Analytical tool or psychological model?

2018 ◽  
Vol 41 ◽  
Author(s):  
David Danks
Keyword(s):  
Decision Making ◽  
Analytical Tool ◽  
Mathematical Framework ◽  
Bayesian Decision ◽  
Perceptual Decision Making ◽  
Psychological Model ◽  
Psychological Reality ◽  
Psychological Theories ◽  
Target Article ◽  
Bayesian Decision Making

AbstractThe target article uses a mathematical framework derived from Bayesian decision making to demonstrate suboptimal decision making but then attributes psychological reality to the framework components. Rahnev & Denison's (R&D) positive proposal thus risks ignoring plausible psychological theories that could implement complex perceptual decision making. We must be careful not to slide from success with an analytical tool to the reality of the tool components.

Elaborating the role of reflection and individual differences in the study of folk-economic beliefs

2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux
Keyword(s):  
Decision Making ◽  
Individual Differences ◽  
Cognitive Processes ◽  
Evolutionary History ◽  
Behavioral Responses ◽  
History Of ◽  
Economic Beliefs

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.

The primacy of conscious decision making – ERRATUM

2014 ◽  
Vol 38 (01) ◽  
pp. 46
Author(s):  
David R. Shanks ◽  
Ben R. Newell
Keyword(s):  
Decision Making ◽  
Conscious Decision

The primacy of conscious decision making – RETRACTION

2014 ◽  
Vol 38 (01) ◽  
pp. 48
Author(s):  
David R. Shanks ◽  
Ben R. Newell
Keyword(s):  
Decision Making ◽  
Conscious Decision

Abstraction: An alternative neurocognitive account of recognition, prediction, and decision making

2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski
Keyword(s):  
Decision Making ◽  
Software Engineering ◽  
Systems Engineering ◽  
Evidence Based ◽  
Extensive Literature ◽  
Trace Theory ◽  
Fuzzy Trace Theory ◽  
Abstract Representations ◽  
Technical Systems

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.

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