Infrastructure Modeling: Decision Technologies Project Lead: William Al Wallace CHC-R 5 th Annual Meeting Januar

1. Infrastructure Modeling: Decision Technologies Project Lead: William Al Wallace CHC-R 5th Annual Meeting January 31-February 1, 2013

2. Decision Technologies Project OverviewEnabling response and recovery activities with the goal of improving community resilience to a catastrophic event

3. Modeling civil and social infrastructure systems and their interdependencies to improve the response and restoration decision process

4. Project Relevance to DHS S&T Mission/Impact of Project The first objective of “Strategic Goal 3” in Department of Homeland Security Strategic Plan • to protect and strengthen the resilience of the nation’s critical infrastructure and key resources Source: U.S. DHS Strategic Plan Fiscal Years 2008-2013 (http://www.dhs.gov/xlibrary/assets/DHS_StratPlan_FINAL_spread.pdf) • The end user for this research are managers of federal, state and local emergency management departments as well as managers of critical infrastructures • With decision technologies like MUNICPAL, these managers will be able to prepare for hazard scenarios through training and address potential issues in ensuring community resilience well before a catastrophic eventoccurs

5. Technical Approach and Progress of Current Work • Apply MUNICIPAL(Multi-Network Interdependent Critical Infrastructure Program for the Analysis of Lifelines) to a new larger community • Model social infrastructure systems and integrating them into the restoration, preparedness, and vulnerability models • Integrate preparedness decisions into the Integrated Interdependent Network Design and Scheduling (IINDS) model • Evaluate the value of information sharing among infrastructure and emergency managers

6. Artificial Community for Disaster Training and Research

7. Water Transportation Waste Water Power

8. Technical Approach and Progress of Current Work • Apply MUNICIPAL to a new larger community • Model social infrastructure systems and integrating them into the restoration, preparedness, and vulnerability models • Integrate preparedness decisions into the Integrated Interdependent Network Design and Scheduling (IINDS) model • Evaluate the value of information sharing among infrastructure and emergency managers

9. Social infrastructure systems include: • Public service such as police, fire, and EMS • Private services such as fuel distribution and personal banking

10. The functionality of social infrastructures rely heavily on the behaviors of both individuals and groups Source: W.A. Wallace et al., “Decision support for ethical problem solving: A multi-agent approach”, Decision Support Systems 43 (2007) 1571–1587.

11. Technical Approach and Progress of Current Work • Integrate preparedness decisions into the Integrated Interdependent Network Design and Scheduling (IINDS) model • Evaluate the value of information sharing among infrastructure and emergency managers • Ph.D. thesis titled “Integrated Mitigation, Restoration, and Scheduling Problem for Interdependent Civil Infrastructure Networks” details the techniques and effort in building the models of mitigation and information sharing and incorporating them into the IINDS model

12. Current Translation Activities and End Users • Web-Based MUNICIPAL • An experimental exercise based upon MUNICIPAL was held with representatives from emergency management community on November 29, 2012. • Investigating the Integration of MUNICIPAL into DHS’s SUMMIT framework

13. Web-Based MUNICIPAL

14. Web-Based MUNICIPAL “The final product is really enlightening. They pointed out some things that we normally don’t get involved in…I think that now we’d get much more involved in orchestrating their efforts to see that one is not hindering the other.” –Warren Lee, Director of Emergency Management, New Hanover County, NC

15. Products • Web-based decision support tool MUNICIPAL prototype • Models incorporating mitigation decisions into the restoration model as well as testing the logic of centralized vs. decentralized decision making • Ph.D. dissertation titled “Integrated Mitigation, Restoration, and Scheduling Problem for Interdependent Civil Infrastructure Networks.” • Technical Report on the assessment of the models included in MUNICIPAL • Created as a result of interviews conducted with members of the emergency management and infrastructure communities

16. Looking Forward • For the remainder of year 5we will: • Continue research on social infrastructure modeling including agent-based systems and integrate them into vulnerability and restoration models • Apply existing models to the artificial community to test the generalizability and scalability of those models • Develop a workshop / training session for New York State Department of Homeland Security (NYS-DHS) officials employing MUNICIPAL, tentatively scheduled for June 2013 • Produce three papers on the following topics: • A technical paper describing the decision tool MUNICIPAL • The integration of preparedness decisions into the IINDS model • The value of information sharing among infrastructure managers

17. Looking Forward • For year 6 proposed work we will: • Construct models of social infrastructures that provide private services, i.e. personal banking and fuel distribution utilizing agent based modeling technologies. • Incorporate models of social infrastructures that provide private services into MUNICIPAL. • Conduct exercises demonstrating the models for social and civil infrastructure restoration • Implement the artificial community into the web-based prototype of MUNICIPAL • Develop a report on how to construct an artificial community for purposes of research and training

18. Questions? • Faculty • PI: William Al Wallace • Thomas C. Sharkey • John E. Mitchell • Graduate Students • Burak Cavdaroglu • Ryan Loggins • Erik Hammel • Sarah Nurre • Undergraduate Students • Jonathan Taylor • Sarah Brehm This project is supported by the US Department of Homeland Security under Award Number: 2008-ST-061-ND 0001.