BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Open Data Watch - ECPv6.17.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://opendatawatch.com
X-WR-CALDESC:Events for Open Data Watch
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20270314T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20271107T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260120T083000
DTEND;TZID=America/New_York:20260120T093000
DTSTAMP:20260112T205809Z
CREATED:20260112T205611Z
LAST-MODIFIED:20260112T205809Z
UID:53006-1768897800-1768901400@opendatawatch.com
SUMMARY:Webinar: Commit to Data on the Road to Riyadh
DESCRIPTION:As momentum builds toward UN World Data Forum 2026\, the Commit to Data initiative—convened with partners including United Nations Statistics Division\, General Authority For Statistics (GASTAT)\, PARIS21\, and Open Data Watch—will host a webinar on 20 January focused on turning commitments into action. \nThe discussion will feature: \n\nExisting Commit to Data commitments sharing progress and lessons since the UNWDF 2024 hosted by Departamento Administrativo Nacional de Estadística (DANE Colombia)\nNew and emerging commitments shaping priorities ahead of UNWDF 2026\nThe Road to Riyadh\, highlighting priorities and engagement in the lead-up to the Forum\n\nRegister here.
URL:https://opendatawatch.com/event/c2d-r2r/
LOCATION:Virtual
END:VEVENT
END:VCALENDAR