Specific Goals

OpenISDM Framework and Proof-of-Concept Prototype A major thrust of our effort is directed towards the conceptual, theoretical, architectural and technological underpinnings of the OpenISDM framework for building open and sustainable disaster management information systems. Specifically, we aim to develop

  • A virtualization layer that makes an OpenISDM appear to be a reliable and scalable data cloud accessible by applications and services via customizable interfaces and dynamic, event-triggered information delivery;
  • A prototype open information gateway that is resilient to network outages and congestions during and after disasters and can support robust and responsive exchanges of diverse data and information between information sources, fusion modules and applications and users;
  • A trustworthy information brokerage service (TIBS), in addition to providing a library of access and flow control software and tools, using which information stakeholders can implement and customize widely used access control models according to their needs under normal conditions and during emergencies;
  • A disaster situation analysis framework and accompanied OpenISDM data and information fusion models as a basis of executable definitions of situation analysis and fusion processes for different disaster scenarios and SOPs; and
  • Theories, algorithms and tools for synergic fusion of hard data from intelligent things and soft information contributed by massive groups of people, as well as methodologies and tools for narrative approaches to compiling, synthesizing and validating disaster-related information by stakeholders of community resilience.

Scientific Databases Another goal of the OpenISDM project is to make available two scientific databases: Climate Extremes and Weather Disasters Database (CEWD DB) and Crustal Deformation and Faulting Behavior database (CDFB DB). Both databases are intended to be used by scientists, disaster managers, and general public. They will provide data that are invaluable to multi-disciplinary data-intensive research on disaster reduction and preparedness and as input to disaster management applications.

CEWD DB is a collection of databases containing scientific and historical data related to climate extremes and weather disasters, including basic meteorological and climatic data and data on extreme precipitation events and extreme temperature events. Together, these data can support weather disaster management and risk assessment and communication for four types of climate extremes and weather disasters: heat wave, cold surge, light and heavy precipitations. Crustal Deformation and Faulting Behavior database (CDFB DB) is a virtual database consisting of datasets on earth crustal deformation and seismic activity observations collected by various GPS and seismic networks deployed in Taiwan region since some 40 years ago. These datasets are maintained by several data centers. CDFB DB will enable easy access of data from contributing data centers via web services and will provide researchers and application developers with support for accessing, processing and fusing and visualizing data in CDFB DB and from other related information repositories.

Disaster Management Applications The project also plans to carry out case studies and build development environment and virtual platforms. An example of the former is a case study on exploitation of public-private-community collaborations and interactions to increase community resilience against disasters. This work complements the information technological approach of relying on algorithms and tools for reducing the effort in the collection and validation of disaster-related information from crowd. An example of the latter include an access framework for thin clients for applications that turn common mobile devices into tools for delivering event-triggered alerts and directives and collecting and reporting disaster related information, in addition to formation of social connections. Another example is VARSE, a simulation environment for constructing from components simulators for diverse users and purposes (e.g., training, tuning of SOPs and urban planning). The simulators should be capable of executing models of disaster scenarios, people, SOPs, etc. and importing data from external disaster simulators and historical records playback systems to augment local simulation.

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