BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//elias-ai - ECPv6.15.17.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://elias-ai.eu
X-WR-CALDESC:Events for elias-ai
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Rome
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20260316T080000
DTEND;TZID=Europe/Rome:20260320T170000
DTSTAMP:20260419T183511
CREATED:20251223T124501Z
LAST-MODIFIED:20260130T140204Z
UID:10451-1773648000-1774026000@elias-ai.eu
SUMMARY:Winter School 2026: AI for Earth System\, Hazards & Climate Extremes
DESCRIPTION:Hosted by National Technical University of Athens (NTUA) and co-organised by ELLIS Unit Jena\, the the MeDiTwin and AI4PEX projects\, the ELLIS Winter School 2026 brings together researchers\, practitioners\, and students to explore how artificial intelligence can advance Earth system and climate science. \nWith growing urgency to understand and mitigate floods\, wildfires\, droughts\, and other extreme events\, this school aims to foster interdisciplinary collaboration and develop robust\, interpretable AI models for monitoring\, forecasting\, and impact assessment. \nThrough lectures\, tutorials\, and interactive discussions\, participants will gain hands-on experience\, exchange knowledge\, and contribute to next-generation AI-driven environmental solutions. \n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Who Should Attend\n						This winter school is designed for: \n\nMaster’s and PhD students\nPostdoctoral researchers\nEarly career professionals\n\nIf you are passionate about AI\, data analytics\, and environmental sciences—whether from academia\, research\, or industry—this program is for you! Eligibility details (PDF) \n  \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Programme Highlights\n						\nApply AI to Climate Extremes: Use AI tools to model\, monitor\, and predict extreme weather and climate events in real-world scenarios.\nUnderstand and Explain Models: Learn to make AI models transparent\, physics-informed\, and causally grounded to improve trust and understanding.\nAssess and Communicate Results: Develop skills to interpret results and communicate findings to scientists\, decision-makers\, stakeholders\, and the public.\nCollaborate and Exchange Ideas: Work with experts in AI and climate science and connect with researchers from diverse backgrounds.\n\nThe full programme will be announced soon. Check here for updates \n					\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n					\n						Registration\n						Deadline: January 2\, 2026\, 23:59 EET \nRegistration Requirements: \n\nCV (PDF\, max 2 pages)\nMotivation statement (max 1200 characters)\nImpact statement (max 1200 characters)\n\nRegister Now \n					\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n					\n				\n					Check out the official event page \n					\n				\n				\n				\n					Register now\n				\n			\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n\n\n    \n\n        \n        \n            Event Details\n\n            \n                Event:\n                ELLIS Winter School 2026: AI for Earth System\, Hazards & Climate Extremes\n            \n            \n                Start Date:\n                March 16\, 2026\n            \n            \n                End Date:\n                March 20\, 2026\n            \n            \n                Location:\n                NTUA – Patission Campus\n            \n            \n                Organisers:\n                NTUA\, ELLIS Unit Jena\, MeDiTwin & AI4PEX Projects\n            \n            \n                Format:\n                In-person\, hands-on\n            \n            \n                Participant Fee:\n                350 €\n            \n\n            \n                Register for the Event\n            \n        \n\n        \n        \n            Venue\n            National Technical University of Athens – Patission Campus  \n            Athens\, Greece  \n\n            \n                \n                \n            \n        \n\n    \n\n    \n        © All rights reserved. ELIAS
URL:https://elias-ai.eu/event/ai-for-earth-system-hazards-climate-extremes/
LOCATION:NTUA – Patission Campus map\, Athens\, Greece
CATEGORIES:Winter School
ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2025/12/AI-for-Earth-System-Hazards-Climate-Extremes-1.png
END:VEVENT
END:VCALENDAR