1. Global City Teams Challenge September 29-30, 2014 Human Population Mapping for Enhanced Community Resilience Annapolis, Maryland

2. Project Scope Civil authorities and emergency managers currently lack a reliable method for conducting rigorous, coordinated planning and resource allocation for disaster preparedness, response and recovery in part because they lack situational awareness of the network of relationships and human populations that constitute the many communities within their jurisdictions. Using the historic district of Annapolis, Maryland as a pilot site, develop the capability to map and visually represent the social, economic, governmental, and private sector networks within the community, and integrate those maps into the currently available GIS maps of physical terrain, critical infrastructures, and transportation and communications networks. Partnerships required – NIST / FEMA / MEMA / NAS / NSF – Open Geospatial Consortium – NIMSAT Institute / Louisiana State University-Lafayette – Harvard University Berkman Center for Internet & Society – Annapolis City Government and Agencies, Emergency Management, Private Sector Business/Industry, Civic/Faith-Based Organizations, Vulnerable Populations, Private Citizens and Groups

3. Project Scope CIVIL INFRASTRUCTURE COMMUNITY SOCIAL STRUCTURE Private Citizens & Groups Schools / Universities Faith-Based Organizations Hospitals / Medical Services Social Services Private Sector Businesses Government & Agencies Emergency Management First Responders

4. Project Scope CIVIL INFRASTRUCTURECOMMUNITY INFRASTRUCTURE MAP

5. Project Action Plan Major Tasks – Define a concise use-case / scenario & geography – Create Public/Private Partnership structure – Identify data elements and sources – Define the SNA data management system – Develop the geospatial interface – Integrate a Business Emergency Operations Center (BEOC) Performance Targets – Integration of Geospatial mapping of natural and build environments; Visual mapping of human capital / vulnerabilities / resources; Dynamic modeling of disaster impact and recovery

6. Impacts/Benefits Enhanced spatial awareness for 1 st Responders Improved planning for response/recovery Improved collaboration among local entities Enhanced visibility of local resources, supply chain, transportation systems, and communication networks Greater integration of human capital into the resources and infrastructures that comprise a resilient community

7. Demonstration Demonstration scenario – Feasibility study for SNA / CI integration – Geospatial mapping of public and private sector resources – Dynamic modeling of disaster response / recovery Milestones – Confirm partnership team11/30 – Develop use case / scenario10/31 – Define components & integration02/28 – Complete model / feasibility study05/31