BEGIN:VCALENDAR VERSION:2.0 PRODID:-//jEvents 2.0 for Joomla//EN CALSCALE:GREGORIAN METHOD:PUBLISH BEGIN:VEVENT UID:c01785c2e817e5f4558d8742f6339641 CATEGORIES:Polar Conferences, Meetings and Events CREATED:20220519T080927 SUMMARY:Workshop on Machine Learning for polar regions LOCATION:Palisades\, New York\, USA & online DESCRIPTION:It is our pleasure to invite you to the “Machine Learning for Polar Regions Workshop”, to be held on June 17th, 2022 at the Lamont-Doherty Earth Obser vatory from 9:30am-5pm. The ultimate goal of the workshop is to educate pol ar scientists and machine learning experts on each respective field and cre ate a strategic roadmap to accelerate research through a coordinated, cross -disciplinary effort. The final outcome will be a report containing a revie w of cutting-edge applications, literature on machine learning and polar re gions, current mechanisms that can support the success for cross-disciplina ry collaboration, and funding opportunities for both the climate and machin e learning realms. Event details: \n - Date: June 17th, 2022\n - Time: 9:30 am - 4:30pm\n - Modality: In-person (Lamont-Doherty Earth Observatory) wit h option to attend virtually\n - Event page link (https://events.columbia.e du/cal/event/showEventMore.rdo;jsessionid=aAruhbd7rdM7Me_Jlfo5zn-cbElJySGyV p6f5tJb.calprdapp05)\n - Registration linkRegistration Deadline: June 1st, 2022Participants can submit an abstract of their work they would like to p resent when registering for the event. The Steering committee will select t he work that will be presented during the Workshop and will notify the part icipants by June 4th. Submissions that already include both the polar and m achine learning aspects will be given priority for presentation and are str ongly encouraged. However, papers and work focusing also on a single aspect of the polar or machine learning disciplines (i.e. Generative Adversarial Networks, Deep CNNs in the case of ML or sea ice, Greenland and Antarctica mass loss and contribution of polar regions to sea level rise) are highly e ncouraged and welcome. We look forward to hearing from you and we sincerely hope you will be able to join us, either in person or virtually. We are av ailable to answer any question or share any other details you may need to m ake this decision.   X-ALT-DESC;FMTTYPE=text/html:
It is our pleasure to invite you to the “Machine Learning for Polar Regions Workshop”, to be held on June 17th, 2022 at the Lamont-Doherty Earth Observatory from 9:30am-5pm. The ultimate goal of the workshop is to educate polar scientists and machine learning e xperts on each respective field and create a strategic roadmap to accelerat e research through a coordinated, cross-disciplinary effort. The final outc ome will be a report containing a review of cutting-edge applications, lite rature on machine learning and polar regions, current mechanisms that can s upport the success for cross-disciplinary collaboration, and funding opport unities for both the climate and machine learning realms. 
Event details: 
Registration Deadline: June 1st, 2022
Part icipants can submit an abstract of their work they would like to present wh en registering for the event. The Steering committee will select the work that will be presented during the Workshop and will no tify the participants by June 4th. Submissions that already include both th e polar and machine learning aspects will be given priority for presentatio n and are strongly encouraged. However, papers and work focusing also on a single aspect of the polar or machine learning disciplines (i.e. Generative Adversarial Networks, Deep CNNs in the case of ML or sea ice, Greenland an d Antarctica mass loss and contribution of polar regions to sea level rise) are highly encouraged and welcome. 
We lo ok forward to hearing from you and we sincerely hope you will be able to jo in us, either in person or virtually. We are available to answer any questi on or share any other details you may need to make this decision. &nbs p;
DTSTAMP:20260422T100123Z DTSTART;TZID=UTC;VALUE=DATE:20220617 DTEND;TZID=UTC;VALUE=DATE:20220618 SEQUENCE:0 TRANSP:OPAQUE END:VEVENT END:VCALENDAR