nexustandards.com/early-warning · 1 taught
Early Warning and Anticipatory Action
NRS-I2 Risk communication and public-safe dashboards
Illustrative: tracers on the Lorenz attractor, a canonical coupled nonlinear system
Risk Academy, led by the Nexus Consortium · Risk Science and Methods · Department of Decision, Behaviour and Communication
How people judge risk, and how behavioural science informs warnings and policy
People judge risk by what comes to mind, whom they trust and what those around them do.
Courses in development extend the scope to one further subject: Social cohesion, trust and collective behaviour in crises.
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For analysts, warning designers, policy staff and researchers who need to understand how people judge and respond to risk and how behavioural science informs warnings, choices and policy.
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A warning reaches people over time, not at once; those who hear it decide whether to believe it, whether it applies to them and whether they can act, and trust in the source moves each of those; the share who have acted by a given minute is the product of those stages, and lead time is only useful if it covers them.
Sources: Lindell and Perry, The Protective Action Decision Model: theoretical modifications and additional evidence, Risk Analysis (2012); Mileti and Sorensen, Communication of Emergency Public Warnings: A Social Science Perspective and State-of-the-Art Assessment (1990); Slovic, Perception of risk, Science (1987); Siegrist and Cvetkovich, Perception of hazards: the role of social trust and knowledge, Risk Analysis (2000); Kasperson et al., The social amplification of risk: a conceptual framework, Risk Analysis (1988).
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The Nexus Standards the discipline teaches toward, grouped by master standard, with the disciplines that teach each.
nexustandards.com/early-warning · 1 taught
NRS-I2 Risk communication and public-safe dashboards
nexustandards.com/systemic-risk · 1 taught
NRS-P11 Reputational, trust and stakeholder risk
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Start with Tversky, then Slovic, then Fischhoff.
Key terms
The intuitive judgement people make about the likelihood and seriousness of a hazard.
Judging how likely an event is by how easily examples come to mind.
The process by which social and media responses make a risk seem larger or smaller than technical estimates suggest.
A step people take to reduce harm, such as evacuating or sheltering.
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