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X-WR-CALNAME:Ocean Observatories Initiative
X-ORIGINAL-URL:https://oceanobservatories.org
X-WR-CALDESC:Events for Ocean Observatories Initiative
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TZID:America/New_York
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DTSTART:20260308T070000
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DTSTART:20261101T060000
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260805T120000
DTEND;TZID=America/New_York:20260805T130000
DTSTAMP:20260802T023504
CREATED:20260603T160932Z
LAST-MODIFIED:20260603T161043Z
UID:37625-1785931200-1785934800@oceanobservatories.org
SUMMARY:OOI Endurance Array: August Virtual Office Hours
DESCRIPTION:The OOI Endurance Array team will host monthly virtual office hours on the first Wednesday of each month at 12 PM ET / 9 AM PT. \nDrop in to ask questions\, connect with the team\, or just stay in the loop. \nZoom Link: https://oregonstate.zoom.us/j/93329747805?pwd=31ofVyNtza6u33rGfoqXO6JZIBGn3v.1 \nWhat to expect: \n\nJoin any time during the hour; stay as long as you like.\nWhen you join the Zoom you’ll enter the main room. There may already be a demo or discussion in progress. Feel free to post your question and/or ask for a breakout room in the Zoom chat.\nBreakout rooms will be available for smaller group discussion and/or to share screens.\n\nThese Office Hours will be guided by the AGU Meetings Code of Conduct; in addition\, there will be no recording nor AI tools logging into the Zoom. Please report any issues to OOI Leadership.
URL:https://oceanobservatories.org/event/ooi-endurance-array-august-virtual-office-hours/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260808T100000
DTEND;TZID=America/New_York:20260808T150000
DTSTAMP:20260802T023504
CREATED:20260715T174547Z
LAST-MODIFIED:20260715T174547Z
UID:37699-1786183200-1786201200@oceanobservatories.org
SUMMARY:Visit OOI at the WHOI Science Stroll
DESCRIPTION:Join the Ocean Observatories Initiative (OOI) at the WHOI Science Stroll on Saturday\, August 8\, 2026\, from 10:00 a.m. to 3:00 p.m. along Water Street in Woods Hole\, Massachusetts. \nThis free\, family-friendly event celebrates the world-class ocean science taking place in Woods Hole. Stop by the OOI booth to explore how long-term ocean observations support scientific discovery\, learn about OOI’s ocean observing network and open-access data\, and chat with our team about the research and technology behind the observatory. \nWe look forward to seeing you there! \nLearn More.
URL:https://oceanobservatories.org/event/visit-ooi-at-the-whoi-science-stroll/
LOCATION:Woods Hole\, MA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260903T120000
DTEND;TZID=America/New_York:20260903T130000
DTSTAMP:20260802T023504
CREATED:20260603T161231Z
LAST-MODIFIED:20260603T161231Z
UID:37627-1788436800-1788440400@oceanobservatories.org
SUMMARY:OOI Endurance Array: September Virtual Office Hours
DESCRIPTION:The OOI Endurance Array team will host monthly virtual office hours on the first Wednesday of each month at 12 PM ET / 9 AM PT. \nDrop in to ask questions\, connect with the team\, or just stay in the loop. \nZoom Link: https://oregonstate.zoom.us/j/93329747805?pwd=31ofVyNtza6u33rGfoqXO6JZIBGn3v.1 \nWhat to expect: \n\nJoin any time during the hour; stay as long as you like.\nWhen you join the Zoom you’ll enter the main room. There may already be a demo or discussion in progress. Feel free to post your question and/or ask for a breakout room in the Zoom chat.\nBreakout rooms will be available for smaller group discussion and/or to share screens.\n\nThese Office Hours will be guided by the AGU Meetings Code of Conduct; in addition\, there will be no recording nor AI tools logging into the Zoom. Please report any issues to OOI Leadership.
URL:https://oceanobservatories.org/event/ooi-endurance-array-september-virtual-office-hours/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261207T080000
DTEND;TZID=America/New_York:20261211T170000
DTSTAMP:20260802T023504
CREATED:20260715T134133Z
LAST-MODIFIED:20260715T170853Z
UID:37676-1796630400-1797008400@oceanobservatories.org
SUMMARY:AGU 2026: Long-Term Ocean Observatories as Drivers of Sensor and Data Science Innovation
DESCRIPTION:Over the past two decades\, growing recognition of shifting baselines\, spatial variability\, and the value of long-duration ocean observations has driven expansion of long-term mobile and stationary ocean observatories\, including ARGO\, ONC\, OOI\, and more. These observatories have produced essential time-series data in ecologically and economically critical\, and often understudied\, marine environments. They also catalyzed major innovations in engineering and data science\, including development of robust hardware that can withstand years on the seafloor and survive severe surface conditions\, methods to mitigate drift and biofouling over extended deployments\, software and machine learning algorithms designed to handle the high volume and frequency of real-time data streams\, and procedures to ensure long-term storage\, quality control\, processing\, and delivery of enormous quantities of diverse instrument data. This session highlights advances in ocean observing technology and data processing tools\, emphasizing best practices and the sometimes unanticipated scientific and operational benefits of long-term ocean observatories. \nSubmit an Abstract to this Session \n\nPrimary Convener:\n\nMichael Vardaro\n\n\nUniversity of Washington Seattle Campus\n\n\n\n\n\n\nConveners:\n\nWendi Ruef\n\n\nUniversity of Washington Seattle Campus\n\n\n\nEdward Paul Dever\n\n\nOregon State University
URL:https://oceanobservatories.org/event/agu-2026-long-term-ocean-observatories-as-drivers-of-sensor-and-data-science-innovation/
LOCATION:San Francisco\, CA
CATEGORIES:Conferences
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261207T080000
DTEND;TZID=America/New_York:20261211T170000
DTSTAMP:20260802T023504
CREATED:20260715T141529Z
LAST-MODIFIED:20260715T143435Z
UID:37682-1796630400-1797008400@oceanobservatories.org
SUMMARY:AGU 2026: AI and Machine Learning for Sustained Ocean Observing: Progress and the Road Ahead
DESCRIPTION:Long-term\, large-scale ocean observing systems\, including the Ocean Observatories Initiative (OOI)\, Ocean Networks Canada (ONC)\, Argo\, GO-BGC\, and IOOS networks\, among others\, generate high-density\, multi-stream datasets at a volume and complexity that increasingly exceed the capacity of traditional analysis approaches. Advances in artificial intelligence (AI) and machine learning (ML) offer powerful tools for rapidily processing these data at scale and reveal patterns and scientific insights that would otherwise remain undetected. We invite contributions highlighting observatory science enhanced by AI and ML\, including but not limited to: seismic and acoustic event detection; computer vision applications; integration with modeling and data assimilation workflows; quality assurance\, quality control\, and anomaly detection; autonomous platform control\, data reduction and adaptive sampling; and cross-platform data synthesis. Work addressing model interpretability\, training data limitations\, and reproducibility is especially encouraged. Contributions are welcome across disciplines\, including physical oceanography\, biogeochemistry\, marine ecology\, and solid Earth science. \nSubmit and Abstract for this Session \n\nPrimary Convener:\n\nKatharine Bigham\n\n\nUniversity of Washington Seattle Campus\n\n\n\n\n\n\nConveners:\n\nBen Biffard\n\n\nOcean Networks Canada\, University of Victoria\n\n\n\nMartin Scherwath\n\n\nUniversity of Victoria\n\n\n\n\n\n\nStudent/Early Career Convener:\n\nAda Carter\n\n\nUniversity of Washington Seattle Campus
URL:https://oceanobservatories.org/event/agu-2026-ai-and-machine-learning-for-sustained-ocean-observing-progress-and-the-road-ahead/
LOCATION:San Francisco\, CA
CATEGORIES:Conferences
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261207T080000
DTEND;TZID=America/New_York:20261211T170000
DTSTAMP:20260802T023504
CREATED:20260715T143109Z
LAST-MODIFIED:20260715T143315Z
UID:37694-1796630400-1797008400@oceanobservatories.org
SUMMARY:AGU 2026 Annual Meeting
DESCRIPTION:AGU’s annual meeting\, the largest gathering of Earth and space scientists\, convenes 25\,000+ attendees from 100+ countries to share research\, connect\, collaborate\, and inspire one another. \nDiscover “Where Science Connects” at AGU26. Share your research with the global Earth and space science community.
URL:https://oceanobservatories.org/event/agu-2026/
LOCATION:San Francisco\, CA
CATEGORIES:Conferences
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