Evidence map›Paper›PMID 41715959›Full record

ArticleRisk analysis : an official publication of the Society for Risk Analysis2026

Risk-Resilience Feedback to Assure Critical Societal Functions.

Samrat Chatterjee, Auroop Ganguly, Dennis Thomas, Lauren Wind

Abstract read
In one paragraph

Article in Risk analysis : an official publication of the Society for Risk Analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Risk-Resilience Feedback to Assure Critical Societal Functions.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Samrat ChatterjeeData Sciences and Machine Intelligence Group, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID https://orcid.org/0000-0003-1406-1093
Auroop GangulyData Sciences and Machine Intelligence Group, Pacific Northwest National Laboratory, Richland, Washington, USA.ORCID https://orcid.org/0000-0002-4292-4856
Dennis ThomasComputational Biology Group, Pacific Northwest National Laboratory, Richland, Washington, USA.
Lauren WindSystems Planning and Analysis, Inc., Alexandria, Virginia, USA.

Funding

SERDP RC20-1183U.S. Cybersecurity and Infrastructure Security Agency's National Risk Management Center program-National Infrastructure Simulation and Analysis Center (S.C., D.T., A.G.)
6 · The paper itself

Abstract

Increase in compound natural and man-made extreme events, and growing interconnectedness of critical societal functions emphasize further understanding of interactions between elements of risk and resilience. While conceptual frameworks have mapped quantified risks to the failure of critical societal functions, feedback from failure and recovery pathways to management of risk has not been systematically considered yet. In this brief perspective, we revisit the risk-resilience feedback paradigm in the context of connected critical societal functions and discuss its role in advancing science-informed disaster policy development. Specifically, we focus on connecting robustness and recovery elements of resilience to the management of risk elements, including threat, vulnerability, and consequence. Furthermore, we briefly describe a notional networked supply chain system example to illustrate how robustness and recovery measures can inform elements of risk. Understanding interactions between elements of risk and resilience is not a fully solved problem. Extending these concepts in the context of connected natural-built-human systems subject to compound and cascading risks is an open challenge. This discussion represents steps toward addressing these challenges.

Indexed as

compound and cascading risksdisaster policyinfrastructure resiliencenatural‐built‐human systemsnetwork science

Identifiers

PMID41715959
PMCPMC12921384

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.