Titlebook: Information Technology in Disaster Risk Reduction; 8th IFIP WG 5.15 Int Julie Dugdale,Terje Gjøsæter,Osamu Uchida Conference proceedings 20

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Risk and Control Assurance Framework for Emergency Management Projectsa lifecycle that starts with initiation and ends with the closing phase. We use a project management assurance (PMA) lens to argue that like any other project, there are risks at each phase of an emergency management project and these need to be understood and addressed during the management process

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Proposing a Simple Method of Creating Tsunami Evacuation Simulationsenting tsunami evacuation, tsunami evacuation simulations are considered effective; however, owing to the challenges in constructing a simulation environment, communities without continued involvement from experts are experiencing a lack of progress in utilizing simulations. Therefore, this study pr

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Performance Evaluation of Flood Level Estimation Method Using State-Space Model with Time-Series Mon observation devices. The proposed method integrates water level observations and flood analysis simulation results from physical models to estimate accurate flood level and its expansion process in channels. The method uses observation time-series data from observation devices as monitoring data fo

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Snowed In and Cut Off: How a Norwegian Municipality Dealt with a Power Outageesponse organisations during a power outage. We explore how these challenges relate to time and the different phases of the disaster management life cycle. Through interviews and surveys involving various stakeholders, our findings point to deficiencies in notification and engagement among essential

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Situational Disabilities in Emergency Management – Validation of Realistic Scenarios for Training aness, both in the strategical and operational level, affecting first responders as well as volunteers and the general public. In previous research, two educational and awareness-raising disaster-related scenarios highlighting the effects of situational disabilities were presented. However, although b

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Archiving Social Media Discussions in Time and Space: A Focus on Refugees from Middle East and Relat models and extracted topics, from data, classified into weekly time periods. A thematic dataset of 1.4M tweets, in Greek, posted from 2015–01-01 00:00:01 to 2016–04-30 23:59:59 GMT was used. Through the use of a transformer, the author applied Named Entity Recognition (NER), extracted approximately

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Location Extraction in Disaster Tweets with a Model Trained on Past Data: Diverse Analysisities responsible for these tasks actively use immediate platforms like Twitter (now X) to gather and share information. However, the volume of information on social media increases rapidly during a large-scale disaster. It becomes necessary to swiftly select crucial, urgent information from many tw

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Analysis of Japanese Tweets on the Russian Military Invasion of Ukraine Focusing on Frequently Used dia platform Twitter (now X), users have been actively posting their thoughts and opinions regarding the invasion. In this study, we collect Japanese posts (tweets) containing the two words “Russia” and “Ukraine” that were posted over an approximately one-year period from the time the invasion began