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ITR-RESCUE is part of the California Institute for Telecommunications and Information Technology (Calit2) and its IT infrastructure is provided by Responsphere

While each one of the research projects above involves long-term research explorations, we are making a concerted effort to build derivative system artifacts of direct value to response organizations. Building such artifacts serves multiple purposes:

  1. Provide focus and context for research and expose new research challenges at interdisciplinary boundaries,
  2. Provide concrete mechanisms to create and sustain collaborations amongst PIs,
  3. Help to engage input from the user community in all phases of research: design, prioritization, testing, and validation, 
  4. Provide natural conduits to explore technology transfer opportunities, and
  5. Serve as a legacy of the RESCUE program beyond the five years of funding of the project.

Artifacts chosen have an associated partner from the user community who will serve in an advisory capacity and/or participate in the artifact development and will also serve as early adopters and testers.  The following are the eight artifacts of RESCUE research that are slated to be developed in the next 3 years.

  1. A smart  reconnaissance system that realizes the “humans-as-sensors” concept from multimodal human-generated input (led by ImageCat)
  2. An integrated information dashboard that supports monitoring and analysis of dynamic & evolving large-scale crisis activities (led by UCI)
  3. A robust networking solution for use at crisis sites (led by UCSD)
  4. RESCUE enterprise service bus (ESB) for loosely coupled data sharing environments (led by UCSD)
  5. A policy-engine for specifying and enforcing organizational policies for secure information sharing  (led by UIUC)
  6. A scalable real-time alert system that exploits a peer-based infrastructure for rapid delivery of short-term warnings (led by UCI)
  7. A customized risk communications system that serves diverse populations by adapting message content and delivery channels based on context and recipient characteristics (led by UCI)
  8. An internet-based loss estimation tool for transportation systems (led by ImageCat)
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This page was last updated on Monday, June 8, 2009 10:40 AM
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This material is based upon work supported by the National Science Foundation under Award Numbers 0331707 and 0331690. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation
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