Publication Findings
Flood Emergency Management Using Hydrodynamic Modelling

A flood impact assessing methodology was proposed and examined in Qingshan reservoir.

Forming a global monitoring mechanism and a spatiotemporal performance model for geospatial services.

We propose a spatiotemporal performance evaluation mechanism to improve the accuracy. Specially, a cloud and volunteer computing mechanism is proposed to collect performance information of globally distributed GIServices. A global spatiotemporal performance model is designed to integrate spatiotemporal dynamics for better performance evaluation for users from different regions at different times.

Full-scale regional exercises: Closing the gaps in disaster preparedness.

Our objectives for the exercise were to implement incident communications between agencies, coordinate care through the incident command center, and effectively decontaminate patients after a chemical spill.The simulated a train derailment and chemical spill 20 miles from the TC using 281 moulaged volunteers.

Geotagging Twitter Messages in Crisis Management.

this paper presents OzCT geotagger that automatically detects the location(s) mentioned in the content of tweets with three possibilities: definite, ambiguous and no-location.It also semantically annotates the tweet components utilizing existing and new ontologies.

Giving meaning to tweets in emergency situations: a semantic approach for filtering and visualizing social data.

tweets are written from the perspective of citizens and the information they provide might be inaccurate, irrelevant or false. Our approach tries to deal with data relevance proposing an innovative ontology-based method for filtering tweets and extracting meaningful topics depending on their semantic content. In this way data become relevant for the operators to make decisions.

Group value and intention to use – A study of multi-agency disaster management information systems for public safety

to close the gap in the understanding of information systems (IS) success this research develops and empirically tests a model of IS success for the disaster management domain in the public sector

Health worker and policy-maker perspectives on use of intramuscular artesunate for pre-referral and definitive treatment of severe malaria at health posts in Ethiopia.

This was a qualitative exploratory study that used in-depth interviews to collect data on the perspectives of health workers, and policy-makers on the use of intramuscular artesunate as a pre-referral and definitive treatment for severe malaria at health posts.

High Fidelity Simulation to Evaluate Emergency Management in Urgent Care Centers.

Students participated in two separate simulated infectious disease outbreaks and were required to assume various responder and leadership roles as well as various casualty rolesThe infectious disease outbreak exercises took placein a simulated large, crowded urban high school thatserved a vulnerable and underserved population ofhigh school students.

How Simple Hypothetical-Choice Experiments Can Be Utilized to Learn Humans’ Navigational Escape Decisions in Emergencies.

Hypothetical scenarios were referred (i.e. decisions were hypothesized to be made in an imaginary emergency exit occurring at the same building which the participant had just left (in a normal situation)In the field, similar scenarios were then replicated in a more realistic fashion by conducting a number of mock (i.e. simulated) evacuation trials in an artificially-built model of (the floor level of) the same building depicted in the abovementioned pictures.

Identifying and explicating knowledge on method transfer: a sectoral system of innovation approach.

purpose is to evaluate the interactive aspects of a crisis management training simulator (CMTS), i.e. its usability

eu Portfolio of Solutions web site has been initially developed in the scope of DRIVER+ project. Today, the service is managed by AIT Austrian Institute of Technology GmbH., for the benefit of the European Crisis Management. PoS is endorsed and supported by the Disaster Competence Network Austria (DCNA) as well as by the STAMINA and TeamAware H2020 projects.