BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//AI4WATER - ECPv6.16.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://ai4water.unibs.it
X-WR-CALDESC:Events for AI4WATER
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Asia/Makassar
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:WITA
DTSTART:20240101T000000
END:STANDARD
END:VTIMEZONE
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=Asia/Makassar:20251209T080000
DTEND;TZID=Asia/Makassar:20251210T180000
DTSTAMP:20260514T184818
CREATED:20251205T105254Z
LAST-MODIFIED:20251217T084627Z
UID:2402-1765267200-1765389600@ai4water.unibs.it
SUMMARY:𝐃𝐚𝐒𝐞𝐭 2025
DESCRIPTION:The fusion of Data Science and emerging technologies continues to reshape business operations\, the workforce\, and the broader landscape of economic and societal progress. As we navigate the era of Industry 4.0 and envision the advancements of Industry 5.0\, the demand for sophisticated data science skills and the innovative application of enabling technologies like cloud computing\, Blockchain\, big data analytics\, IoT\, and 6G networks remains paramount for driving digital transformation towards a human-centric and sustainable future. \nThis year\, DaSET focuses on the transformative power of The Rise of Autonomous Intelligence in the era of Data Science. Artificial Intelligence (AI) and frontier technologies are no longer just tools; they are evolving into autonomous agents capable of profound impact across industries and society. This conference aims to attract leading industry and academic researchers actively exploring the theoretical underpinnings and practical applications of data science in the context of this burgeoning field of Agentic AI. \nThe AI4Water project\, part of the PRIMA-MED Programme\, will be represented at the DaSet 2025 Conference (The 4th International Conference On DATA SCIENCE AND EMERGING TECHNOLOGIES 2025\, December 9–10\, 2025\, Petaling Jaya\, Selangor\, Malaysia\, https://www.daset.org )\, where the Project Coordinator will also deliver an invited talk on “Artificial Intelligence for Sustainable Water Management: Advances\, Challenges\, and Future Directions.” \nOn this occasion\, AI4Water will introduce a position paper describing the AI4Water project and\, in particular\, highlighting the role of artificial intelligence in sustainable water management and its contribution to data-driven strategies for climate resilience. \nThe conference is hybrid\, and online participation is free upon registration at the following link:\nhttps://lnkd.in/dufz_eTF \nInterested participants are warmly invited to join the event and contribute to the discussion.
URL:https://ai4water.unibs.it/event/daset-2025/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20260504T080000
DTEND;TZID=Europe/Rome:20260504T170000
DTSTAMP:20260514T184818
CREATED:20260504T055102Z
LAST-MODIFIED:20260504T062756Z
UID:3032-1777881600-1777914000@ai4water.unibs.it
SUMMARY:AI4WATER Brescia Meeting: Two weeks that will contribute to the Mediterranean water management
DESCRIPTION:We’re excited to share highlights from our First In-Person Meeting in Brescia\, Italy (April 22-24 & 27-30\, 2026); two transformative weeks that united six Mediterranean countries in advancing AI-driven water solutions. \nOur gathering brought together experts from Algeria\, Tunisia\, Egypt\, Italy\, France\, and Spain for 7 intensive days featuring several bilateral and multilateral collaboration sessions\, and 4 comprehensive case study presentations; all focused on integrating AI\, hydrological modeling\, and optimization for sustainable water management. \nCASE STUDIES PRESENTED \nPartners shared deep insights into four critical Mediterranean water systems: Algeria’s Seybouse Basin facing agricultural demands and data challenges; Tunisia’s Ras Jebel coastal aquifer dealing with saltwater intrusion; Egypt’s Nile Delta supporting 100+ million people; and Italy’s Capitanata irrigation district pioneering AI applications. \nTECHNOLOGICAL INTEGRATION \nA major breakthrough was demonstrating the complete AI4WATER pipeline: machine learning models predicting water variables days to weeks ahead\, mathematical optimization algorithms transforming predictions into optimal allocation decisions\, and integrated decision support systems delivering actionable information to stakeholders. This end-to-end approach moves water management from reactive to proactive. \nNEXT STEPS \nTeams will be now implementing joint research activities\, exchanging datasets\, developing pilot AI applications\, testing optimization scenarios\, and preparing project deliverables. Stakeholder workshops in partner countries will ensure our technologies serve real community needs. \nWATCH THE VIDEOS \nVisit AI4WATER Gallery and LinkedIn to watch our meeting recap video and meet the experts driving this innovation.
URL:https://ai4water.unibs.it/event/ai4water-brescia-meeting-two-weeks-that-will-contribute-to-the-mediterranean-water-management/
END:VEVENT
END:VCALENDAR