There is a growing need for developing new AI techniques that process large-scale crisis data to gain a “big picture” of an emergency, detect and predict how a disaster could develop, analyze the impact of disasters and the effect of negative externalities in a cyber-physical society, and assist in disaster response and resource allocation. There are a number of challenges associated with near-real-time processing of vast volumes of information in a way that makes sense for people directly affected, for volunteer organizations, and for official emergency response agencies. This has generated vast volumes of crisis data in different forms and from different sources. During these mass emergencies, victims, responders, and volunteers increasingly use social media and mobile devices to provide real-time situation updates, i.e., reports on damage, or request and offer help. In recent years, there have been an increasing number of large-scale crises, such as natural disasters or armed attacks, that have had major effect on individual lives and infrastructure, and have caused the devastation to communities. Notification of acceptance: April 30, 2019.IEEE Intelligent System is hosting a special issue on AI for Disaster Management and Resilience, which we are co-editing with Yu-Ru Lin from University of Pittsburgh, USA and Jie Yin from University of Sydney, Australia. Valerio Lorini, Carlos Castillo, Francesco Dottori, Milan Kalas, Domenico Nappo, Pater Salamon: Integrating Social Media into a Pan-European Flood Awareness System: A Multilingual Approach.

In a test during floods in Calabria, Italy, last fall, the tool successfully gathered 14,347 tweets over three days, sorted them by relevance and provided geo-location data. To start, the researchers trained SMFR to spot flood-related keywords in English, German, Spanish and French. Gathering reliable information from Twitter is no easy task, especially considering that EFAS covers an area with more than 27 languages. When EFAS identifies areas with heightened flood risks, it triggers SMFR to begin collecting flood-related tweets from users in those areas. The tool works in collaboration with Europe's Flood Awareness System (EFAS). In a paper released on, EU scientists explain how their Social Media for Flood Risk (SMFR) prototype could help emergency responders better understand what's happening on the ground in flooded areas and determine what trouble spots might need immediate attention. This expereincs of travelling, ideas and producing over the week is still culminating in Panthera’s unique releases on labels like Uncanny Valley, (his co-owned with Peter Invasion imprint) Riotvan and Lobster Theremin to name just a few.The European Commission's Joint Research Center is working on a tool that could use tweets and artificial intelligence to collect real-time data on floods. He recorded DJ sets for NTS Radio, Groove and Gilles Peterson and played his live shows and DJ sets from Panoramabar to Corsica Studios and from Le Batofar to IFZ. Socialized by the eclectic sound of Kasablanca, Panthera started his musical career with his band Marbert Rocel in 2007, but was in 2012 when he released his first solo productions on Lobster Theremin. His productions flow between uplifting-chords, meandering arpeggiators and melancholic scapes all framed in Housy, MPC-ruled beats, cut-throat samples and a fresh breeze of dirt. Panthera Krause is a Producer, DJ and illustrator from Leipzig.

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