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DTSTART;TZID=Europe/Rome:20261006T080000
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UID:52663-1791273600-1791478800@www.interregnextmed.eu
SUMMARY:HEEFTA at EU-WISH 2026 International Workshop & Consortium Meeting: focus on wastewater surveillance\, environmental monitoring\, public health preparedness
DESCRIPTION:From 6 to 8 October 2026\, the University of Patras\, a partner of the HEEFTA project\, will participate in the EU-WISH 2026 International Workshop & Consortium Meeting in Vienna\, Austria. The event provides an opportunity to exchange knowledge\, establish new connections and explore links between European initiatives addressing environmental and societal challenges. \nEU-WISH – EU-Wastewater Integrated Surveillance for Public Health is a European Joint Action funded under the EU4Health programme. It brings together 62 institutions from 26 European countries to strengthen the use of wastewater surveillance as a tool for public health. The initiative promotes cooperation\, knowledge exchange and the sharing of good practices across Europe. \nThe international meeting will bring together researchers\, experts\, public health institutions and other organisations to discuss topics related to wastewater surveillance\, environmental monitoring\, public health preparedness\, training and capacity building. \nEvent: EU-WISH 2026 International Workshop & Consortium Meeting\nDates: 6–8 October 2026\nLocation: Austrian Agency for Health and Food Safety (AGES) in Vienna\, Austria\nHEEFTA partner: University of Patras
URL:https://www.interregnextmed.eu/event/heefta-at-eu-wish-2026-international-workshop-consortium-meeting-focus-on-wastewater-surveillance-environmental-monitoring-public-health-preparedness/
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DTSTART;TZID=Europe/Rome:20261007T090000
DTEND;TZID=Europe/Rome:20261007T160000
DTSTAMP:20260907T092130Z
CREATED:20260907T092130Z
LAST-MODIFIED:20260907T092130Z
UID:51634-1791363600-1791388800@www.interregnextmed.eu
SUMMARY:Join MEDAIGENCY's AI for Health Emergencies Capacity Building Training
DESCRIPTION:Artificial intelligence can support preparedness\, communication\, resource management and decision-making during health emergencies. However\, its effective use requires critical judgement\, ethical awareness and clear human accountability. \nMEDAIGENCY will bring together healthcare professionals\, emergency responders\, policymakers\, community representatives\, and humanitarian and aid workers for a practical one-day training on understanding and using AI responsibly in health emergencies. \nParticipants will attend in person at local venues in Lebanon\, Italy\, Türkiye and Palestine. The hybrid learning approach will combine in-room facilitation with online instruction connecting participants and experts across the four countries. \nNo coding or advanced technical knowledge is required. \n\n                        \n                        \n                           \n                               \n                              What will participants learn?\n                           \n                        \n                        \n                        \nBy the end of the training\, participants will be better able to: \n\nExplain what AI is\, how machine learning models are trained\, and what types of AI are relevant to public health emergencies.\nIdentify appropriate and inappropriate uses of AI in health crisis management\, and recognize AI capabilities and limitations.\nApply a simple framework for when to follow\, question\, or override an AI recommendation.\nUnderstand the key components of an AI system.\nKnow the main categories of AI ethics and applied ethical risk (bias\, fairness\, governance\, etc.).\nApply a structured framework for prioritizing ethical issues in their country context.\n\nThe training will emphasize that AI should support—not replace—professional expertise\, institutional responsibility and local knowledge. \n\n                        \n                        \n                           \n                               \n                              Who should apply?\n                           \n                        \n                        \n                        \nThe training is intended for: \n\nHealthcare professionals;\nEmergency responders;\nPolicymakers and public-sector representatives;\nCommunity representatives;\nHumanitarian and aid workers; and\nProfessionals supporting health-emergency preparedness and response.\n\nApplicants from public institutions\, civil-society organizations\, healthcare providers\, emergency services\, universities\, international organizations and related sectors are encouraged to apply. \n\n                        \n                        \n                           \n                               \n                              Practical information\n                           \n                        \n                        \n                        \nDate: 7 October 2026\nTime: 09:00–16:00\nFormat: One-day\, in-person training using a hybrid learning approach\nLocations: Beirut\, Lebanon | Naples\, Italy | İzmir\, Türkiye | Birzeit\, Palestine\nLanguage: English\, with live translated captions available\nCertificate: Participants completing the training will receive a certificate of attendance\nRegistration deadline: 30 September 2026 \n\n                        \n                        \n                           \n                               \n                              Registration\n                           \n                        \n                        \n                        \nComplete the registration form by 30 September 2026: \nRegister for the training \nSubmitting the form does not automatically confirm participation. Selected applicants will receive a confirmation email with the venue and other practical information. \nFor inquires\, please do not hesitate to reach out to us on: medaigency@aub.edu.lb \n  \nBuilding AI literacy for stronger health emergency management. \nThis capacity-building training is implemented by MEDAIGENCY – Mediterranean Health in Crisis: Harnessing AI for Resilience\, co-funded by the European Union under the Interreg NEXT MED Programme. The project develops and adapts AI-powered solutions to strengthen emergency preparedness\, response and recovery across the Mediterranean. \nProject/Training Partners: \n\nHumanitarian Engineering Initiative – American University of Beirut (Lebanon)\nLatitudo40 (Italy)\nIzmir Katip Çelebi University (Türkiye)\nInstitute of Community and Public Health – Brizeit University (Palestine)\nCampania Region – So.Re.Sa. S.p.A. – Società Regionale per la Sanità (Italy)\nEticas (Spain)
URL:https://www.interregnextmed.eu/event/join-medaigencys-ai-for-health-emergencies-capacity-building-training/
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