PROJECTS

Disaster Management Research Register (DMRR)

The Disaster Management Research Register (DMRR) is a website which collates disaster management related research taking place worldwide. It provides a forum for researchers to share and become aware of different disaster related research taking place – no matter the hazard, the disaster phase under focus, or the country being studied.


Connecting Disaster Management Research Worldwide

Researchers from ALL countries and ALL organizations can list information about their research projects and view information about other research projects taking place. The DMRR aims to nurture collaboration, sharing, and breakthroughs in the realm of disaster management. The aim is to make a difference in the area of disaster management research through increasing awareness of the advances, developments and initiatives underway in the area of disaster management.

To view the DMRR, click here.

Global Disaster Management Platform (GDMP): Extending the ADMP Initiative

An International Research and Research Training Fund (IRRTF) Research Network and Consortia (RNC) funded project

The aim of the project is to develop a Global Disaster Management Platform (GDMP) by extending the ADMP initiative (Australia Disaster Management Platform) which is a partnership project between IBM and Melbourne University. In line with the recent expansion and activity across disaster management and the ADMP strategy, this project will facilitate collaboration with Latin America and wider societies for the development of disaster management research and engagement. The GDMP will leverage the significant related expertise in the University of Melbourne, IBM – Research Australia, Samsung, the University of Hong Kong and IIT Madras in India. There are many other groups around Australia and the globe also researching and designing disaster-management IT tools, often in isolation so the GDMP will become a platform that enables quality, disaster-management innovators to plug in and be part of an open standards based ‘system of systems’.To view the GDMP, click here.

Australia Disaster Management Platform

The Australia Disaster Management Platform (ADMP) is an initiative under a partnership between IBM Research-Australia and the University of Melbourne. ADMP is a next generation open standards-based IT platform aimed at improving disaster management, protecting communities and potentially saving lives. The Platform will facilitate informed decision-making by communicating the information, via various channels and at appropriate levels of detail, to the wide spectrum of people involved in making emergency decisions – from the central coordinating agencies that are charged with directing activities, to on-ground emergency services personnel, through to the local community.
The concept of the platform is central to the ADMP as it will draw on vast amounts of geo-spatial and infrastructure information from multiple data sets (including many sets already in existence), bring these together, facilitate discovery and then integrate and analyse the data to create real-time, practical information streams on disaster events and to develop simulation and optimisation models.

The ADMP, a multi-hazard platform to support preparedness, response, recovery and mitigation to assist people in making decisions related to disaster management

The ADMP project presents an opportunity for researchers and key industry players to work in close collaboration with the ADMP framework. The platform is designed to facilitate interaction, discussion and cooperation across both local and international industries. In order to successfully achieve this seamless platform, input from different stakeholders across the world is welcomed.

To view the ADMP website, click here.

BNHCRC Project: Pre-disaster multihazard damage and economic loss estimation model

The pre-disaster multihazard damage and economic loss estimation model project is a project funded through the bushfire and natural hazards cooperative research Centre. This project will identify the optimum economic policy options to recover or minimise the adverse effects of natural hazards.
For more information about the project visit the website: here

An Intelligent Disaster Decision Support System (IDDSS)

The Intelligent Disaster Decision Support System is a project supported by the Australian Government through the Victorian Department of Justice Natural Disaster Resilience Grant Scheme. The project began in May 2013 and is scheduled to finish in April 2014.The figure below illustrates the IDDSS concept:

The project has developed a proof of concept of an Intelligent Disaster Decision Support System (IDDSS) for urban disasters integrating a smart geospatial information platform with an advanced optimisation and simulation engine. As a result of the project two scenarios have been developed, a bushfire scenario and a flooding scenario. The IDDSS will support an end-to-end process from scenario planning to disaster response and recovery and performs real-time collection, management, analysis, distribution, and visualisation of information for enhanced situation awareness, aligning the impact of information with its availability. This real-time stream of critical information populates the optimisation/simulation engine whose goal is to increase the cognitive abilities of decision makers when faced with an urban disaster of large magnitude and uncertainty.

To view more information on the IDDSS project , click here.

Informing Decisions about Natural Disasters: Flood and Fire

This project is developing new capabilities for improving expert decision-making in the domains of flooding and bushfires, through the smart of new technologies and new data sources. In achieving this aim, the project:

  • has developed and deployed a large environmental sensor network. The network is capable of rapid deployment in a range of environments, generating fine-grained spatial and temporal information
  • about environmental changes over a period of weeks with minimal maintenance.
  • is developing new techniques for integrating fine-grained sensor-data in the network with decision
    making tools, including innovative visualization tools and traditional coarse-scale modeling systems, such as the Phoenix fire model.
  • The broader research questions being addressed by this project are contributing to the generation of new scientific and engineering knowledge in the domains of:
    technology resilience, enabling robust sensor-based data capture to adapt to changing environments;
  • multi-scale information, integrating data from diverse spatial and temporal scales;
  • uncertainty, ensuring systems are tolerant to low-quality sensor data;
  • visualisation, providing new techniques for presenting and interacting with dynamic and multidimensional
    sensor data; and
  • decision making, helping make sense of large volumes of sensor data.

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