The section citations connect domain mechanisms, methods and cases to the underlying sources. Read each reference for its question, design, findings and limits. Technical guides, case investigations and scholarly articles do not provide interchangeable forms of evidence.
- D01 · Scholarly article
Rinaldi, S. M.; Peerenboom, J. P.; Kelly, T. K. (2001). Identifying, understanding, and analyzing critical infrastructure interdependencies. IEEE Control Systems Magazine 21(6), 11–25.
Original publication / source ↗Physical, cyber, geographic and logical dependencies among essential systems.
- D02 · Scholarly research article
Buldyrev, S. V. et al. (2010). Catastrophic cascade of failures in interdependent networks. Nature 464, 1025–1028.
Original publication / source ↗An abstract network mechanism; empirical use requires system-specific validation.
- D03 · Scholarly article
Pescaroli, G.; Alexander, D. (2018). Understanding Compound, Interconnected, Interacting, and Cascading Risks: A Holistic Framework. Risk Analysis 38, 2245–2257.
Original publication / source ↗Distinguishes forms of multi-system interaction and cascading risk.
- D04 · Scholarly perspective
Linkov, I. et al. (2014). Changing the resilience paradigm. Nature Climate Change 4, 407–409.
Original publication / source ↗Connects risk assessment with maintaining and recovering essential function.
- D05 · Scholarly article
Woods, D. D. (2015). Four concepts for resilience and the implications for the future of resilience engineering. Reliability Engineering & System Safety 141, 5–9.
Original publication / source ↗Distinguishes rebound, robustness, graceful extensibility and sustained adaptability.
- D06 · Scholarly article
Comfort, L. K. (2007). Crisis Management in Hindsight: Cognition, Communication, Coordination, and Control. Public Administration Review 67, 189–197.
Original publication / source ↗Coordination and shared understanding in crisis management.
- D07 · Scholarly article
Boin, A.; McConnell, A. (2007). Preparing for Critical Infrastructure Breakdowns: The Limits of Crisis Management and the Need for Resilience. Journal of Contingencies and Crisis Management 15, 50–59.
Original publication / source ↗Limits of conventional crisis planning under interconnected disruption.
- D08 · Scholarly review
Helbing, D. (2013). Globally networked risks and how to respond. Nature 497, 51–59.
Original publication / source ↗Systemic interdependence and the limits of isolated risk analysis.
- D09 · Scholarly review
Ouyang, M. (2014). Review on modeling and simulation of interdependent critical infrastructure systems. Reliability Engineering & System Safety 121, 43–60.
Original publication / source ↗Comparison of modeling approaches and their assumptions.
- D10 · Scholarly research article
Alderson, D. L.; Brown, G. G.; Carlyle, W. M. (2015). Operational Models of Infrastructure Resilience. Risk Analysis 35, 562–586.
Original publication / source ↗Function-based analysis of infrastructure performance under disruption.
- D11 · Scholarly article
Bruneau, M. et al. (2003). A Framework to Quantitatively Assess and Enhance the Seismic Resilience of Communities. Earthquake Spectra 19, 733–752.
Original publication / source ↗Robustness, resourcefulness, redundancy and recovery in a community context.
- D12 · Scholarly article
Cutter, S. L. et al. (2008). A place-based model for understanding community resilience to natural disasters. Global Environmental Change 18, 598–606.
Original publication / source ↗Local context and uneven community capacity in resilience assessment.
- D13 · Official technical guidance
NIST (2024). Cybersecurity Supply Chain Risk Management Practices for Systems and Organizations. SP 800-161 Rev. 1, Update 1.
Original publication / source ↗Governance of supplier and technology dependencies; current updated edition.
- D14 · Official framework
NIST (2024). The NIST Cybersecurity Framework (CSF) 2.0. NIST CSWP 29.
Original publication / source ↗Govern, identify, protect, detect, respond and recover as organizational outcomes.
- D15 · Official investigation
FERC; NERC; Regional Entity Staff (2021). The February 2021 Cold Weather Outages in Texas and the South Central United States. Joint staff report.
Original publication / source ↗Gas-electric dependency and common-cause cold-weather exposure.
- D16 · Official investigation
U.S. GAO (2006). Catastrophic Disasters: Enhanced Leadership, Capabilities, and Accountability Controls Will Improve the Effectiveness of the Nation's Preparedness, Response, and Recovery System. GAO-06-618.
Original publication / source ↗Katrina lessons on coordination, capability and accountability.
- D17 · Official technical investigation
IAEA (2015). The Fukushima Daiichi Accident. Director General's report and technical volumes.
Original publication / source ↗Compound external hazards, organizational assumptions and recovery challenges.
- D18 · Official investigation
U.S.–Canada Power System Outage Task Force (2004). Final Report on the August 14, 2003 Blackout in the United States and Canada: Causes and Recommendations. Joint task-force report.
Original publication / source ↗Situational awareness and cascading power-system disruption.
- D19 · Official investigation
UK National Audit Office (2017). Investigation: WannaCry cyber attack and the NHS. Report HC 414.
Original publication / source ↗Digital disruption and continuity of civilian healthcare.
- D20 · Official incident record
U.S. Department of Energy (2021). Colonial Pipeline Cyber Incident. Office of Cybersecurity, Energy Security, and Emergency Response.
Original publication / source ↗Public record of pipeline shutdown and interagency response.
- D21 · Official framework
UNDRR (2015). Sendai Framework for Disaster Risk Reduction 2015–2030. United Nations framework.
Original publication / source ↗Civilian risk governance, preparedness and recovery.
- C03 · peer-reviewed
Saltelli, A. et al. (2010). Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index. Computer Physics Communications, 181, 259–270.
Original publication / source ↗Methodological reference for sensitivity analysis; assumptions about independence and the model structure must accompany the chosen estimator.
- C04 · peer-reviewed
Wilkinson, M. D. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018.
Original publication / source ↗Guides metadata and reuse. Accessible data may still have legitimate authorization and protection requirements.
- C05 · standard
W3C (2013). PROV-DM: The PROV Data Model. W3C Recommendation, 30 April 2013.
Original publication / source ↗Represents provenance through entities, activities and agents; useful for connecting a result to its transformations and responsible contributors.
- C06 · technical guide
JCGM (2008). Evaluation of measurement data — Supplement 1 to the GUM — Propagation of distributions using a Monte Carlo method. JCGM 101:2008.
Original publication / source ↗A methodological basis for propagating input distributions through a specified model, rather than treating simulated frequency as an observed event probability.
- C07 · peer-reviewed
Ostrom, E. (2009). A general framework for analyzing sustainability of social-ecological systems. Science, 325, 419–422.
Original publication / source ↗Supports a structured inquiry into actors, resources, institutions and interactions; institutional interpretation must be adapted to the system studied.
External sources are cited for research and learning. Their inclusion implies no partnership, certification or institutional endorsement.