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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 () announces 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 Ju
 ly 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 wil
 l focus on the use of Machine Learning and Artificial Intelligence, on how 
 such approaches can be applied in cryospheric research, as well as related 
 challenges and limitations. Discussion will include the use of advanced mac
 hine learning algorithms in climate science with attention on how to improv
 e the prediction of future sea-ice. Time for participant questions will fol
 low the presentations.\nWebinar Presenters Include:\n\n - Elizabeth A. Barn
 es, Associate Professor, Department of Atmospheric Science, Colorado State 
 University\n\n - Morteza Karimzadeh, Assistant Professor, Department of Geo
 graphy, Colorado University Boulder\n\n - Tom R. Andersson, Data Scientist 
 at the British Antarctic Survey Artificial Intelligence Lab\nThis webinar i
 s designed for the sea-ice research community and others interested in info
 rmation about applications of machine learning in sea-ice forecasting. Whil
 e this is an open event, attendees should be aware that the discussions wil
 l largely be of a technical nature.\nMore details including registration in
 structions, will be announced closer to the event. The webinar will be arch
 ived and available online after the event.\nFor questions, please contact:\
 nBetsy Turner-Bogren\nEmail: <a href="https://www.arcus.org/sites/all/modul
 es/civicrm/extern/url.php?u=24030&amp;qid=4134036" rel="nofollow"></a>This 
 email address 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="cloak51160a9f495d1b0
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DTSTAMP:20260417T024422Z
DTSTART;TZID=UTC;VALUE=DATE:20200729
DTEND;TZID=UTC;VALUE=DATE:20200730
SEQUENCE:0
TRANSP:OPAQUE
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