16th International Conference on Research Challenges in Information Science giving a talk on:
The Challenge of Collecting and Analyzing Information From Citizens and Social Media in Emergencies: the Crowd4SDG Experience and Tools. Presenters: Barbara Pernici, Carlo Alberto Bono (Politecnico di Milano), Mehmet Oguz Mulayim (IIIA-CSIC), Jose Luis Fernandez-Marquez (University of Geneva)
Abstract: Every year more than 150 million people worldwide are affected by natural disasters. As declared by the United Nations Office for the Coordination of Humanitarian Affairs, “The first 72 hours after a disaster are crucial; response must begin during that time to save lives”. Social media has been demonstrated to be a potential data source to provide actionable data just after a disaster happens, thus allowing emergency responders to better coordinate their activities. In this tutorial, we will see how crowdsourcing assisted by artificial intelligence can make a significant contribution, especially where critical thinking and decision making are needed, in extracting actionable information from unconventional data sources. The experiences with social media analysis, geolocalization, and crowdsourcing obtained in a recently concluded H2020 project E2mC (Evolution of Emergency Copernicus services) and in the on-going H2020 project Crowd4SDG (Citizen Science for Monitoring Climate Impacts and Achieving Climate Resilience) will be illustrated. For slides of the presentation: https://www.rcis-conf.com/rcis2022/tutorialsInfo.php
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