RESCUE Project Strategic Plan

RESCUE Project Strategic Plan
NSF Reverse Site Visit November 30, 2005 NSF Reverse Site Visit – November 30, 2005

NSF Reverse Site Visit – November 30, 2005
RESCUE Participants Sharad Mehrotra (UCI) – PI, data management Ramesh Rao (UCSD) – PI, networking Nalini Venkatasubramanian (UCI) – distributed systems, middleware Bhaskar Rao (UCSD) – speech recognition Marianne Winslett (UIUC) – security and trust Ramesh Jain (UCI) – multimedia systems Ron Eguchi (ImageCat) – earthquake engineering, GIS Naveen Ashish (UCI) – AI, databases B.S. Manoj -- Networking Kathleen missing due to family emergency NSF Reverse Site Visit – November 30, 2005

Technical Advisory Board (TAC)
Rakesh Agrawal IBM Fellow and Senior Manager IBM Almaden Research Center David Kehrlein ESRI Louise Comfort Professor of Public and Urban Affairs University of Pittsburgh Dick Kieburtz Professor Emeritus OHSU/OGI School of Science & Engineering Department of Computer Science & Engineering Pacific Software Research Center Mario Gerla Professor of Computer Science UCLA Fred Juang Motorola Foundation Chair Georgia Research Alliance Eminent Scholar Georgia Institue of Technology Raghu Ramakrishnan Professor of Computer Sciences University of Wisconsin-Madison NSF Reverse Site Visit – November 30, 2005

AGENDA Project Overview Discussion & feedback TAC role & action item A RESCUE featured Presentation Lunch & discussions The primary goal of a meeting are to discuss our strategic plan with NSF and to seek advice as we set into the next phase of the RESCUE project Intention is to have a discussion more than a presentation NSF Reverse Site Visit – November 30, 2005

Motivation: Transform the Ability of First Responders to Mitigate Crisis Observation: Right Information to the Right Person at the Right Time can result in dramatically better response Response Effectiveness lives & property saved damage prevented cascades avoided Quality of Decisions first responders consequence planners public Primary motivation of RESCUE is to transform the ability of first responders and response organizations to respond to crisis. Effectiveness of response is measured by lives saved, property saved, etc. Effectiness depends upon the quality of decisions made by decision makers in crisis response. Decision makers Can be diverse. The effectiveness of decision depends upon various factors including training, preparedness, and abilities of decision makers. But is depends to a large part on awareness. Situation – people, resources, events Awareness = past, present, and predicted future. Awareness depends upon information available to decision makers. Quality & Timeliness of Information Situational Awareness incidences resources victims needs NSF Reverse Site Visit – November 30, 2005

RESCUE Research Networking & Computing systems Computing, communication, & storage systems under extreme situations Information Centric Computing enhanced situational awareness Social & Disaster Science context, model & understanding of process, organizational structure, needs Engineering & Transportation validation platform for role of IT research Security, Privacy& Trust Cross cutting issue at every level Social Science context and understanding of crisis domain Information Technology infrastructure & tools to enhance flow of information & situational awareness Engineering platform for realization, real-world physical constraints that help test, and validate IT solutions NSF Reverse Site Visit – November 30, 2005

Highlights of Progress in Y1 & 2
Creation of a cohesive multidisciplinary research team 20+ researchers, approx. 25 student FTEs, 7 institutions, multiple partners from user community, industry, and academia Significant field work to understand crisis response domain Significant research product 200 plus journal & conference publications, 5+ data sets, 25+ software systems built Multiple collaborative opportunities realized Creation of RESCUE Testbeds Significant progress along educational objectives NSF Reverse Site Visit – November 30, 2005

(prioritized recommendations)
Site Visit Input (prioritized recommendations) Project Level Recommendations Focus RESCUE to a small number of potentially achievable technology innovations that address needs of the first responders Recommendations on Project Management Increase efforts in engaging community (academia, industry, and response organizations) Create a Technical Advisory Committee Recommendations on Research Direction Address privacy concerns that arise due to infusion of technology Enhance efforts on multimodal speech recognition research Recommendations on Education & Outreach Create a strategic plan to transform RESCUE into a flagship NSF project: Take advantage of large funding to significantly advance science Ensure lasting impact to the crisis response domain NSF Reverse Site Visit – November 30, 2005

Strategic Plan Outline
Mission Statement Objectives Strategies Overarching project level strategies Specific strategies to meet individual project goals Project Structure Multidisciplinary Research Projects Testbeds Artifacts Management Plan NSF Reverse Site Visit – November 30, 2005

RESCUE Mission The mission of RESCUE is to enhance the ability of emergency response organizations and the public to mitigate crises, save lives, and prevent secondary and indirect human and economic loss by radically transforming ways in which these organizations gather, process, manage, use and disseminate information during man-made and natural catastrophes. NSF Reverse Site Visit – November 30, 2005

RESCUE Objectives Develop technologies to dramatically improve situational awareness of first-responders, response organizations, and the public by providing them with timely access to accurate, reliable and actionable information about the disaster. Two points: study and analysis of data from multiple disasters have pointed to the need for improved situational awareness. 2. Technology is beginning to be used – e.g., robots mounted with video, the use of internet and blogs, promoting citizen journalism, Use of sensors. However, the usage of technology in creating awareness is rather adhoc and technologies limited in their capabilities. More details: data often is missing or highly uncertain. Technologies to help interpret such uncertainty missing. In the initial phase of crisis, data is almost entirely missing – in later phases there is avalanche of multimodal data. Today technology does not exist to exploit such multimodal data effectively. 3. A lot of data is human-generated (crisis communication, citizen journalism). There is no technology to ingest such data and enable Awareness based on it. Basically, even if we go to general situational awareness applications technology is severely limited. There are no principled ways to building such applications today. NSF Reverse Site Visit – November 30, 2005

RESCUE Objectives Develop technologies to dramatically improve situational awareness of first-responders, response organizations, and the public by providing them with timely access to accurate, reliable and actionable information about the disaster. Develop technologies that enable seamless information sharing and collective decision making across highly dynamic virtual organizations consisting of diverse entities (government, private sector, NGOs, individuals). During crisis response, depending upon the extent and nature of crisis, a very large number of organizations need to collaborate to save life, property, and take preventive action and to bring life to normalcy. Today information sharing in dynamic virtual coalitions is limited due to: Information “stove pipes” Lack of established policies for sharing Frequent structural and functional changes within organizations Lack of centralized control Element of surprise Lack of trust, fear of misuse Today, technologies for sharing are very limited in addressing the above challenges to enable sharing. The above challenges Have to be addressed to work in the above challenges within the confines of organizational culture, its policies, and the context for sharing. NSF Reverse Site Visit – November 30, 2005

RESCUE Objectives Develop technologies to dramatically improve situational awareness of first-responders, response organizations, and the public by providing them with timely access to accurate, reliable and actionable information about the disaster. Develop technologies that enable seamless information sharing and collective decision making across highly dynamic virtual organizations consisting of diverse entities (government, private sector, NGOs, individuals). Develop robust communication systems that continue to operate in crisis situations despite partial/total failure of infrastructure and increased communication demands. When a crisis strikes, infrastructure failure such as power outage, both wireless and wireline outage are common. Almost all recent disasters Ranging from 9/11 to London Bombing, to Katrina have exposed vulnerability of communication systems to cope with Increased demands and failures. Also, there may not be any (or limited) infrastructure at crisis site. Whih is critial to maintain information flow both from and to disaster sites. NSF Reverse Site Visit – November 30, 2005

RESCUE Objectives Develop technologies to dramatically improve situational awareness of first-responders, response organizations, and the public by providing them with timely access to accurate, reliable and actionable information about the disaster. Develop technologies that enable seamless information sharing and collective decision making across highly dynamic virtual organizations consisting of diverse entities (government, private sector, NGOs, individuals). Develop robust communication systems that continue to operate in crisis situations despite partial/total failure of infrastructure and increased communication demands. Develop technologies that can be used for timely and customized dissemination of crisis information that inform the public at large thus enhancing the abilities of the affected populations to take appropriate self-protective actions. In most crisis situations, citizens ARE often the first responders. They can take self protective actions and also Help others. Crisis response can be significantly improved by developing technologies that can inform the public And encourage them to take such actions. This has to be done carefully since you do not want over response or Under response. NSF Reverse Site Visit – November 30, 2005

RESCUE Objectives Develop technologies to dramatically improve situational awareness of first-responders, response organizations, and the public by providing them with timely access to accurate, reliable and actionable information about the disaster. Develop technologies that enable seamless information sharing and collective decision making across highly dynamic virtual organizations consisting of diverse entities (government, private sector, NGOs, individuals). Develop robust communication systems that continue to operate in crisis situations despite partial/total failure of infrastructure and increased communication demands. Develop technologies that can be used for timely and customized dissemination of crisis information that inform the public at large thus enhancing the abilities of the affected populations to take appropriate self-protective actions. Explore the privacy challenges that emerge as a result of infusing technology to improve information flow in crisis response networks and the public. Technology is a double edged sword. In RESCUE we are developing technologies to Empower first responders awareness of citizens. providing technological solutions to help first responders in their tasks. - while it might help, it can also be misused to violate privacy. Both these have concerns of privacy – of individuals and of responders. Such challenges are found in any infusion of technology in real world activities. It is vital to understand the challenges to ensure adoption, prevent misuse, and warn of dangers/implications if adopted. NSF Reverse Site Visit – November 30, 2005

RESCUE Objectives Develop technologies to dramatically improve situational awareness of first-responders, response organizations, and the public by providing them with timely access to accurate, reliable and actionable information about the disaster. Develop technologies that enable seamless information sharing and collective decision making across highly dynamic virtual organizations consisting of diverse entities (government, private sector, NGOs, individuals). Develop robust communication systems that continue to operate in crisis situations despite partial/total failure of infrastructure and increased communication demands. Develop technologies that can be used for timely and customized dissemination of crisis information that inform the public at large thus enhancing the abilities of the affected populations to take appropriate self-protective actions. Explore the privacy challenges that emerge as a result of infusing technology to improve information flow in crisis response networks and the public. Promote interdisciplinary education at all levels (graduate, undergraduate, K-12) and across diverse student groups to expose the future community of citizens to issues in emergency management and homeland security – an area of global and national importance. Our educational objective NSF Reverse Site Visit – November 30, 2005

Key RESCUE Strategies Structure RESCUE research to focus on a small set of problem-focused, multidisciplinary research projects driven by RESCUE objectives Purpose Creates opportunities for groundbreaking scientific explorations Advances socio-technical approaches to complex, crisis response issues exploration of social, organizational and cultural context in which technology is adopted NSF Reverse Site Visit – November 30, 2005

Key RESCUE Strategies Structure RESCUE research to focus on a small set of problem-focused, multidisciplinary research projects driven by RESCUE objectives Create living laboratories and simulations that serve as open testbeds which mimic “real-world” conditions for regional and incident-level crises. Purpose: IT assessment in crisis context Opportunities for focused interactions with end-user community platform for demonstrations Framework for collaboration Within RESCUE team With industry and academia Give examples of Gatech (joint exercise with us) IBM donating stuff Canon Moto Qualcomm NSF Reverse Site Visit – November 30, 2005

Key RESCUE Strategies Structure RESCUE research to focus on a small set of problem-focused, multidisciplinary research projects driven by RESCUE objectives Create living laboratories and simulations that serve as open testbeds which mimic “real-world” conditions for regional and incident-level crises. Develop integrative artifacts that are derivatives of multidisciplinary research projects of direct relevance to response organizations Purpose: legacy of the RESCUE program Natural conduits for technology transfer Engage input from the user community in all phases of research: design, prioritization, testing, and validation Concrete mechanisms to create and sustain collaborations amongst PIs NSF Reverse Site Visit – November 30, 2005

RESCUE Project Structure (Prior to Site Visit)
INFORMATION ANALYSIS RESCUE Thrust Areas INFORMATION COLLECTION INFORMATION SHARING INFORMATION DISSEMINATION FUTURE TESTBEDS CHAMPAIGN Testbeds TRANSPORTATION CAMAS GLQ DrillSim CELLO Humans as Sensors TrustBuilder System Artifacts ABC SAMI Traust VIEWS 911 Dataset PADOC PSAP Tsunami Dataset Bouncer RAPID INLET pVault Fundamental Research NSF Reverse Site Visit – November 30, 2005

RESCUE Project Structure NSF Reverse Site Visit – November 30, 2005
INFORMATION ANALYSIS RESCUE Thrust Areas INFORMATION COLLECTION INFORMATION SHARING INFORMATION DISSEMINATION TRANSPORTATION CAMAS GLQ CHAMPAIGN FUTURE TESTBEDS Testbeds DrillSim CELLO Humans as Sensors TrustBuilder System Artifacts ABC SAMI Traust VIEWS 911 Dataset PADOC PSAP Tsunami Dataset Bouncer RAPID INLET pVault Situation Awareness Robust Networking Customized Dissemination Policy-driven Information Sharing Privacy RESCUE Research Projects NSF Reverse Site Visit – November 30, 2005

INFORMATION ANALYSIS RESCUE Thrust Areas INFORMATION COLLECTION INFORMATION SHARING INFORMATION DISSEMINATION TRANSPORTATION CAMAS GLQ CHAMPAIGN FUTURE TESTBEDS Testbeds System Artifacts Situation Awareness Robust Networking Customized Dissemination Policy-driven Information Sharing Privacy RESCUE Research Projects NSF Reverse Site Visit – November 30, 2005

INFORMATION ANALYSIS RESCUE Thrust Areas INFORMATION COLLECTION INFORMATION SHARING INFORMATION DISSEMINATION Smart Reconnaissance System Enterprise Service Bus Policy Engine Real-time Alert Integrated Information Dashboard Internet-based Loss Estimation Robust Networking Solution Risk Communication Integrative Artifacts TRANSPORTATION CAMAS GLQ CHAMPAIGN FUTURE TESTBEDS Testbeds Situation Awareness Robust Networking Customized Dissemination Policy-driven Information Sharing Privacy RESCUE Research Projects NSF Reverse Site Visit – November 30, 2005

RESCUE Research Projects
SAMI: Situational Awareness from Multi-Modal Input (Project Lead: N. Ashish, UCI) PISA: Policy-driven Information Sharing Architecture (Project Lead: M. Winslett, UIUC) Customized Dissemination in the Large (Project Leads: K. Tierney, UC-B & N. Venkatasubramanian, UCI) Privacy Implications of Technology Adoption (Project Lead: S. Mehrotra, UCI) Robust Networking and Information Collection (Project Lead: BS Manoj, UCSD) SAMI = Event-oriented Situational Awareness System NSF Reverse Site Visit – November 30, 2005

Project 1: Situational Awareness from Multimodal Inputs (SAMI)
Grand Challenge Principled approach to creating situational awareness from multimodal inputs to provide decision-makers access to timely, accurate, reliable and actionable information about disasters information spread across different modalities, human generated inputs, uncertainty and imprecision in data, scale to large events Research Contributions SA technologies with “events” as a unifying abstraction next-generation DBMS for representing & reasoning about crisis situations An integrated approach to event extraction, fusion & synthesis that exploits multimodality, context, and semantics (ingest) Presentation framework for situational analysis & visualization End-User Deliverables A smart reconnaissance system to create awareness from multimodal human-generated input (“humans-as-sensors”) Will be used in various disaster site field work by ImageCat & Real-time damage recon. System for bridges (collaboration with Caltrans) An integrated “event-centric” information dashboard for dynamic & evolving large-scale crisis activities Field tested at City of Ontario upcoming state-of-the-art EOC The DBMS technology we have in mind is substantially different compared to existing work on spatio-temporal databases And/or multimedia databases. Such database technologies deal with lower level of abstraction. In contrast, events are a much more semantic concept. Such a dbms technology will support a a more semantic representation of data and support allow seamless integration of semantics in querying and reasoning. Events also offers a natural way to associate semantics with media making it possible to develop an integrated architecture For extraction/synthesis. Built using the event abstraction, the signal processing can exploit not only multimodality but also Semantics and context in interpreting signals. As an example, speech recognition can now use the data spread in different modalities to improve its accuracy. Similarly, speech recognition can exploit the context and domain knowledge (say knowledge of geography/maps) to interpret speech. NSF Reverse Site Visit – November 30, 2005

Project 2: Robust Networking and Information Collection
Grand Challenge Restore computing, communication, and higher layer services at a crisis site in a manner that is focused on the needs and opportunities that arise proximate to the crisis Designed to serve the dynamically evolving situation at the crisis site Research Contributions Architectural design, protocol stack and control algorithms for hybrid wireless networks Address tradeoffs of timeliness, accuracy and cost and reliability in data collection from crisis sites Cross-layer techniques to deal with surge demands & infrastructure failures Approaches to obtain low-level network data (e.g., user location) to enable novel applications useful for crisis response (e.g., occupancy analysis) End-User Deliverables Hybrid wireless networking system to support operations at a crisis site Programmable hardware platforms for rapid transitioning of new research solutions to the field The fundamental focus will be on bringing connectivity to crisis sites and designing architectures that exploit all available resources to establish the connectivity. Communication within crisis site. The challenge driving connectivity will be data collection tasks for situational data gathering. Adaptive Collection technologies, communication staging, and corresponding cross layer approaches will be studied. There will be an additional auxiliary task of how communication systems can help develop novel applications that can prove very useful for building situational awareness during crisis response., Basically, typically mobile computing has considered mobile devices as end-user devices for content presentation and providing users with customized (e.g., location based) services. Another (orthogonal view) is to consider them as nodes in network (which can act as sensors). For instance, cell phones Just by their location can provide information about where people are which can significantly help situational awareness. Such a view is also extremely useful for network resource provisioning. NSF Reverse Site Visit – November 30, 2005

Project 3: Policy-based Information Sharing Architecture (PISA)
Grand Challenge Design, develop, and evaluate a policy-driven architecture for information sharing across diverse entities and organizations involved in a disaster Scalable: many users, policies, data sources; heavy load Flexible: policy specification, user-friendly policy management Resilient: under attack Research Contributions Understanding policy needs in specific usage scenarios Inter-agency sharing during mock crisis events Techniques for secure and scalable policy management Attack defense for attribute based authorization Middleware for information sharing across dynamic virtual coalitions End-User Deliverables RESCUE enterprise service bus (ESB) for loosely coupled data sharing environments A policy engine for specifying and enforcing organizational policies for secure information sharing Design and evaluation in close collaboration with City of Champaign The specific focus to our data sharing is policy-based sharing. Policies-based sharing has recently been identified also as a key challenge by NSF in one of its workshops. Support middleware for information sharing will also be developed. NSF Reverse Site Visit – November 30, 2005

Project 4: Customized Dissemination in the Large
Grand Challenge Next generation warning systems that customize risk communications based on various factors resulting in appropriate level of response (not under or over response) Variability in warning times, characteristics of recipient populations, diversity of delivery mechanisms (social and technological), size of impacted population Research Contributions Understanding dissemination context in specific scenarios Two case studies at different ends of warning time spectrum and geographical context IT for customization Accuracy of targeting, prioritization, location, language, and social contexts IT for delivery Scalability, reliability, message urgency, heterogeneity of delivery mechanisms End-User Deliverables A system for real-time seismic alert to schools in California Collaboration with State of California, OES; School Broadcasting Company Builds on RAPID: a flash dissemination system developed in collaboration with LA city Longer term risk communications system for informing public through all phases of response A peer-based portal for hurricanes An emergency information portal for City of Ontario NSF Reverse Site Visit – November 30, 2005

Project 5: Privacy Challenges in Technology Adoption
Grand Challenge Explore if IT can be designed with “knobs” that can be used to control disclosure of information amongst entities (individuals, organizations, government) with the objective of empowering technology adopters to fit the technology into existing (and possibly dynamically evolving) societal and cultural expectations with respect to privacy. Research Contributions Understanding privacy concerns Field studies for 4 technologies usage scenarios Privacy technologies Policy specification, anonymization, perturbations techniques for dynamic spatio-temporal data Privacy Preserving Observation Systems Demonstration through privacy preserving video surveillance End-User Deliverables Insights into impediments in technology adoption A set of “best practices” to limit/eliminate privacy concerns in technology adoption A shared common vocabulary to express privacy concerns NSF Reverse Site Visit – November 30, 2005

RESCUE Testbeds Transportation Simulator (regional response) CAMAS/Responsphere, UCI (incident-level response) CAMAS: A instrumented multisensor smartspace at UCI implementing & monitoring response activities Transportation: Simulation of a large geographically dispersed disaster and its impact on transportation Different testbeds model information flow conditions under diverse types of crisis situations Gas Lamp Quarter, SD (robust infrastructure) Champaign Testbed (data sharing) NBC Building Currently, there are four different testbeds. The transportation testbed which emphasizes regional response, that is, examining the role of IT research in large scale disasters such as earthquakes. I will talk more about this testbed in a moment. CAMAS – which stands for Citizen Awareness System for Mitigation Crises – has been designed to examine incident-level response. And one of the specific This is one of the major demos that you will see later this afternoon. The Champaign testbed – is relatively new. It was not one of the original testbeds proposed in our original proposal, but because of the excellent relationship that Marianne Winslett developed with the city of Champaign, it has become our fourth testbed. The focus of this testbed is removing the barriers of sharing data and information. And finally, the GLQ testbed which is being conducted in the Gas Lamp Quarter of San Diego. The focus here is on robust mobile network solutions for crisis response. Champaign: City Emergency Operations Center to serve as a testbed for Data Sharing Applications GLQ : Infrastructure to test robustness of network deployments via live experiments in real setting NSF Reverse Site Visit – November 30, 2005

List of RESCUE Artifacts
A smart reconnaissance system (ImageCat lead) realizes the “humans-as-sensors” concept from multimodal human-generated input An integrated information dashboard (UCI lead) supports monitoring and analysis of dynamic & evolving large-scale crisis activities A robust networking solution for use at crisis sites (UCSD lead) RESCUE enterprise service bus (ESB) (UCSD lead) supports loosely coupled data sharing environments Policy-engine (UIUC lead) specifying and enforcing organizational policies for secure information sharing Scalable real-time alert system (UCI lead) exploits a peer-based infrastructure for rapid delivery of short-term warnings Customized risk communications system (UCI lead) serves diverse populations by adapting message content and delivery channels based on context and recipient characteristics. NSF Reverse Site Visit – November 30, 2005

Strategic Plan Outline
Mission Statement Objectives Strategies Overarching project level strategies Specific strategies to meet individual project goals Project Structure Multidisciplinary Research Projects Testbeds Artifacts Management Plan NSF Reverse Site Visit – November 30, 2005

Management Plan Objectives
To facilitate closer and more meaningful interaction between individual RESCUE researchers and Project Coordinators SAMI, Sharing, Robust Communication, Dissemination, and Privacy. To provide a project management structure that allows for annual evaluation of research progress on all RESCUE projects. Special emphasis will be placed on relevance towards achieving RESCUE objectives. To provide a convenient platform for reaching out to the end-user community, as well as to promote the educational goals of the project. Create channels for receiving advice and input on current and future research tasks from the external community Both scientific and end-user communities NSF Reverse Site Visit – November 30, 2005

Management Structure RESCUE Projects
Community Advisory Board Chair: Ellis Stanley RESCUE Project PIs UCI - S. Mehrotra, Director UCSD – R. Rao Technical Advisory Committee Chair: TBD RESCUE Project Management RESCUE Executive Committee S. Mehrotra, UCI R. Rao, UCSD K. Tierney, CU R. Eguchi, ImageCat RESCUE External Interactions Steering Committee Chair: Peter Chang - UM RESCUE Technology & Artifacts Steering Committee Chair: Nalini Venkatasubramanian - UCI RESCUE Projects Situational Awareness Project Lead: N. Ashish, UCI Extreme Networking Project Lead: B.S. Manoj, UCSD Privacy Project Lead: S. Mehrotra, UCI Sharing Project Lead: M. Winslett, UIUC Dissemination Project Lead: N. Venkatasubramanian, UCI After project restructuring NSF Reverse Site Visit – November 30, 2005

Community Advisory Board (CAB)
Ellis Stanley – Chair General Manager, City of Los Angeles Emergency Preparedness Department Jim Watkins (retired) Governor’s Office Emergency Services Bob Garrott Los Angeles County Office of Emergency Mgmt. Paulette Murphy Space and Naval Warfare Systems Command (SPAWAR) Dawna Finley Tom Hume Eileen Salmon City of Irvine Emergency Management Karen Butler Program Manager Communications Division San Diego Police Department William Maheu Assistant Chief of Police City of San Diego David Rose Lieutenant Officer UC San Diego Police Department Linda Bogue Emergency Mgmt. Coordinator Environmental Health and Safety University of California, Irvine Introduce Anna Burton here Our CAB chosen mostly from Southern California Easier accessibility to diverse types of agencies military presence, active international border, vital commercial and Navy port, regional nuclear reactor, tourist attractions SoCal agencies amongst leaders in deploying IT solutions designated test bed for IT for counter-terrorism and homeland security. LA City and County EOCs amongst most “tech. savvy” in the nation ________________________________________________ Invite Fred Halenar to CAB (Winslett) NSF Reverse Site Visit – November 30, 2005

Community Advisory Board Roles
Advice and input on RESCUE research & priorities System artifacts Testbed development Access to a variety of assets & homeland security resources Crisis response drills organized by department of HS and our govt. partners a very large (and growing) body of first responders community at various levels of government and organizations Technology transfer opportunities Facilitating collaborations with the industry & other academic activities First reponders change to response community or emergency management NSF Reverse Site Visit – November 30, 2005

Technology & Artifacts Steering Committee
Mission: To focus and direct RESCUE research into substantive interdisciplinary projects that have potential for significant impact on crisis response and “big science” breakthroughs Objectives: Identification of cross-disciplinary research opportunities that can lead to “big science” Focus and consolidate system artifacts Guide RESCUE to become well known in respective disciplinary research communities Work with External Interactions steering committee to identify opportunities to test technologies NSF Reverse Site Visit – November 30, 2005

External Interactions Steering Committee
Mission: To explore opportunities, sustain, and lead RESCUE outreach and education efforts to the external community of scientists, first-responders, government and industrial partners, and the community at large Objectives: Test and deploy RESCUE technologies and artifacts within the emergency management domain Engage government and industrial partners in testbeds Promote RESCUE to the larger community through demos, seminars, articles, etc. Outreach to the research world through workshops Advise Technology & Artifacts committee on artifact selection and deployment opportunities NSF Reverse Site Visit – November 30, 2005

Key Project Milestones
Year 1 Year 2 Year 3 Year 4 Year 5 Year Research Plan Year 3 – 5 Strategic Plan Expanded Government Participation NSF Year 2 Review NSF Year 4 Review RESCUE Government and Industry Conference Develop Outreach Plan Establish TAC RESCUE Project Completion Plan Form Ext. Interactions and Tech. & Artifacts Committees Industry Affiliates Program Establish CAB Testbed Development Artifact Development Benchmark Studies Validation Studies Annual PI Mtgs. NSF Reverse Site Visit – November 30, 2005

Following slides for TAC Role session
NSF Reverse Site Visit – November 30, 2005

Expected Role of Technical Advisory Committee (Y3)
advice PIs on bringing focus to RESCUE Review & critique Strategic plan & Implementation plan Advice and input on feasibility, novelty and potential impact of research Make recommendations on research priorities NSF Reverse Site Visit – November 30, 2005

Role of TAC (Y3-5) Monitor the project and help PIs make adjustments Provide and independent evaluation of technical merit & importance of research Identify “gaps” in research and/or unique new opportunities Make recommendations on program changes/adjustments Serve as emissaries of RESCUE to broad scientific community Help raise awareness of diverse challenges in crisis response applications Help identify synergistic collaboration opportunities NSF Reverse Site Visit – November 30, 2005

END of PRESENTATION NSF Reverse Site Visit – November 30, 2005

RESCUE Project Strategic Plan

Similar presentations

Presentation on theme: "RESCUE Project Strategic Plan"— Presentation transcript:

Similar presentations

About project

Feedback

Log in

Auth with social network:

RESCUE Project Strategic Plan

Similar presentations

Presentation on theme: "RESCUE Project Strategic Plan"— Presentation transcript:

Similar presentations

About project

Feedback