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BEGIN:VEVENT
UID:0cd532db805c9903d13d752cce6caa86
CATEGORIES:Polar Conferences, Meetings and Events
CREATED:20200715T122411
SUMMARY:SIPN2 Webinar
LOCATION:Online
DESCRIPTION:SIPN2 Webinar\nSea Ice Prediction Network – Phase 2 (SIPN2)\nDate: Wednesda
 y, 29 July 2020\nTime: 8:00 a.m. to 9:00 a.m. (AKDT)\nWebinar Title: Machin
 e Learning—Challenges and Opportunities for Applications in Sea Ice Predict
 ion\nThe Sea Ice Prediction Network – Phase 2 (SIPN2 (https://www.arcus.org
 /sites/all/modules/civicrm/extern/url.php?u=24031&qid=4134036)) announc
 es an open webinar entitled, Machine Learning—Challenges and Opportunities 
 for Applications in Sea Ice Prediction.\nThe one-hour webinar will be held 
 on Wednesday, 29 July 2020, starting at:\n8:00 a.m. (AKDT), 9:00 a.m. (PDT)
 , 10:00 a.m. (MDT) 11:00 a.m. (CDT), 12:00 p.m. (EDT), and 6:00 p.m. (CEDT)
 .\nThis webinar will focus on the use of Machine Learning and Artificial In
 telligence, on how such approaches can be applied in cryospheric research, 
 as well as related challenges and limitations. Discussion will include the 
 use of advanced machine learning algorithms in climate science with attenti
 on on how to improve the prediction of future sea-ice. Time for participant
  questions will follow the presentations.\nWebinar Presenters Include:\n\n 
 - Elizabeth A. Barnes, Associate Professor, Department of Atmospheric Scien
 ce, Colorado State University\n\n - Morteza Karimzadeh, Assistant Professor
 , Department of Geography, Colorado University Boulder\n\n - Tom R. Anderss
 on, Data Scientist at the British Antarctic Survey Artificial Intelligence 
 Lab\nThis webinar is designed for the sea-ice research community and others
  interested in information about applications of machine learning in sea-ic
 e forecasting. While this is an open event, attendees should be aware that 
 the discussions will largely be of a technical nature.\nMore details includ
 ing registration instructions, will be announced closer to the event. The w
 ebinar will be archived and available online after the event.\nFor question
 s, please contact:\nBetsy Turner-Bogren\nEmail:  (https://www.arcus.org/sit
 es/all/modules/civicrm/extern/url.php?u=24030&qid=4134036)This email ad
 dress is being protected from spambots. You need JavaScript enabled to view
  it.
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X-ALT-DESC;FMTTYPE=text/html:<p><strong>SIPN2 Webinar</strong><br />Sea Ice Prediction Network – Phase 2
  (SIPN2)</p><p><strong>Date</strong>: Wednesday, 29 July 2020</p><p><strong
 >Time:</strong>&nbsp;8:00 a.m. to 9:00 a.m. (AKDT)</p><p><strong>Webinar Ti
 tle:</strong>&nbsp;Machine Learning—Challenges and Opportunities for Applic
 ations in Sea Ice Prediction</p><p>The Sea Ice Prediction Network – Phase 2
  (<a href="https://www.arcus.org/sites/all/modules/civicrm/extern/url.php?u
 =24031&amp;qid=4134036" rel="nofollow">SIPN2</a>) announces an open webinar
  entitled,&nbsp;<em>Machine Learning—Challenges and Opportunities for Appli
 cations in Sea Ice Prediction</em>.</p><p>The one-hour webinar will be held
  on Wednesday, 29 July 2020, starting at:</p><p>8:00 a.m. (AKDT), 9:00 a.m.
  (PDT), 10:00 a.m. (MDT) 11:00 a.m. (CDT), 12:00 p.m. (EDT), and 6:00 p.m. 
 (CEDT).</p><p>This webinar will focus on the use of Machine Learning and Ar
 tificial Intelligence, on how such approaches can be applied in cryospheric
  research, as well as related challenges and limitations. Discussion will i
 nclude the use of advanced machine learning algorithms in climate science w
 ith attention on how to improve the prediction of future sea-ice. Time for 
 participant questions will follow the presentations.</p><p><em><strong>Webi
 nar Presenters Include:</strong></em></p><ul><li><p>Elizabeth A. Barnes, As
 sociate Professor, Department of Atmospheric Science, Colorado State Univer
 sity</p></li><li><p>Morteza Karimzadeh, Assistant Professor, Department of 
 Geography, Colorado University Boulder</p></li><li><p>Tom R. Andersson, Dat
 a Scientist at the British Antarctic Survey Artificial Intelligence Lab</p>
 </li></ul><p>This webinar is designed for the sea-ice research community an
 d others interested in information about applications of machine learning i
 n sea-ice forecasting. While this is an open event, attendees should be awa
 re that the discussions will largely be of a technical nature.</p><p>More d
 etails including registration instructions, will be announced closer to the
  event. The webinar will be archived and available online after the event.<
 /p><p>For questions, please contact:<br />Betsy Turner-Bogren<br />Email:&n
 bsp;<a href="https://www.arcus.org/sites/all/modules/civicrm/extern/url.php
 ?u=24030&amp;qid=4134036" rel="nofollow"></a><span id="cloak9adf14cad2e75d4
 fc544b84eb62bf36e">This email address is being protected from spambots. You
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DTSTAMP:20260805T063742
DTSTART;TZID=UTC;VALUE=DATE:20200729
DTEND;TZID=UTC;VALUE=DATE:20200730
SEQUENCE:0
TRANSP:OPAQUE
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