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METHOD:PUBLISH
BEGIN:VTIMEZONE
TZID:Asia/Seoul
BEGIN:STANDARD
DTSTART:19881009T030000
TZOFFSETFROM:+1000
TZOFFSETTO:+0900
TZNAME:KST
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BEGIN:VEVENT
UID:calendar.966.field_date_content.0@ieu.greenclimate.fund
DTSTAMP:20260501T114038Z
CREATED:20200826T075723Z
DESCRIPTION:AidData's Seth Goodman examines machine learning in leveraging 
 spatial data for development. His talk focuses on using satellite imagery 
 and machine learning to measure socioeconomic and environmental indicators
 \, evaluating project outcomes using hybrid econometric and machine learni
 ng techniques\, and leveraging computation to improve transparency in deve
 lopment projects.\n\n\n \n\n\n \n\n\nFull video
DTSTART;TZID=Asia/Seoul:20181212T000000
DTEND;TZID=Asia/Seoul:20181212T000000
LAST-MODIFIED:20200923T061915Z
LOCATION:Songdo\, Incheon\, Republic of Korea
SUMMARY:Machine Learning for Evaluating Development
URL;TYPE=URI:https://ieu.greenclimate.fund/event/machine-learning-evaluatin
 g-development
END:VEVENT
END:VCALENDAR