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A Socio-technical Approach to Resilience in Critical Infrastructure Systems

This presentation discusses the barriers to building resilient infrastructure systems, including the lack of understanding of resilience, interdependence of complex systems, and obstacles presented by incentive and governance structures. It also explores the integration of socio-technical knowledge and the need for a pluralistic, multi-disciplinary understanding of resilience.

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A Socio-technical Approach to Resilience in Critical Infrastructure Systems

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  1. A Socio-technical Approach to Resilience in Critical Infrastructure Systems 18 Aug 2015 Philadelphia PA 23 July 2015 I-10 bridge collapse costing trucking industry $2.5 million/day. (photo Matt York / Associated Press) Dr. Thomas P Seager, Dr. Susan Spierre Clark, Daniel A Eisenberg Arizona State University, Tempe AZ @seagertp #resweek2015

  2. Northbound I-65 from Lebanon to Lafayette IN closed since 7 Aug, when the center bridge pier sunk 9 inches. Photo: Indiana Department of Transportation • Dr. Jeryang Park, Dr. P Suresh C Rao • Civil Engineering, Purdue University, W. Lafayette IN

  3. Barriers to Building Resilient Infrastructure Systems • Lack of understanding of what constitutes resilience. • Interdependence of complex infrastructure systems obscures understanding of those systems. • Incentive and governance structures present obstacles, even where understanding is sufficient. • Resilience require socio-technical knowledge integration.

  4. Create a pluralistic, multi-disciplinary understanding of resilience. 1. Lack of understanding of what constitutes resilience.

  5. The Objectification of Risk

  6. new system stresses are incorporated into current understanding. foresee possibilities Resilience is better understood as a series of interacting processes than a property of state. More like a verb, and less like a noun. response taken after information from sensing and anticipation are incorporated into understanding. Learning is the process by which new knowledge is created and maintained by observation of past actions

  7. Decode System Inter-dependencies 2. Interdependence of complex infrastructure systems obscures understanding of those systems. Heavy rains in August 2005 overtopped a massive culvert carrying the flow of Black Creek beneath Finch Ave in Toronto ONT.

  8. In 2003 drought disabled more than 30 European nuclear power plants

  9. High water temperaturesin the Southconstrained power supply in 2007, raising electricity prices

  10. Drought in the Pacific Northwest crippled hydroelectric power in 2001 $3-6 billion in damages

  11. M Bartos and M Chester, 2015, Impacts of climate change on electric power supply in the Western United States, Nature Climate Change, doi: 10.1038/nclimate2648.

  12. 3. Incentive and governance structures present obstacles, even where understanding is sufficient. Build Anti-Fragile Governance Structures

  13. ROBUSTNESS ANTI-FRAGILITY

  14. 4. Resilience require socio-technical knowledge integration. Institutional Resilience Infrastructure Resilience Engineering Sustainability Political Science Social Science Simulate Resilience Crises

  15. 26 Sep 30 Jul Summer 2014 27 Oct

  16. Resilience requires new patterns of improvisational and adaptive thinking in design and operation of infrastructure systems that can be enhanced through practice with ‘surprise’ experiences in a simulated complex network environment. Hypothesis Behavioral contributions to resilience will improve as a result of simulated experiences.

  17. 1927 Mississippi River Flood Finding the positive case studies

  18. 1993 Mississippi River Flood

  19. 2011 Mississippi River Flood

  20. Adaptation

  21. 17 Sep 2014 • 8 Sep 2014 Non-stationarity: The future is no longer an extrapolation of the past. 9 Sep 2014

  22. from fail-safe to safe-fail from reduction to incompleteness from definition to ambiguity from specification to emergence from reliability to recovery from centralized to distributed from probabilistic topossibilistic

  23. Further reading This presentation is partially supported by NSF Grants 1140190 & 1441352 and includes contributions by @mikhailchester, @clarkamiller& Igor Linkov.

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