BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//QFRG//Seminars//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Predicting well-being based on features visible from space –
  the case of Warsaw!
X-WR-TIMEZONE:Europe/Warsaw
REFRESH-INTERVAL;VALUE=DURATION:P1D
BEGIN:VTIMEZONE
TZID:Europe/Warsaw
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700329T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701025T030000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:seminar-2-predicting-well-being-based-on-features-visible-from@qfrg.wne
 .uw.edu.pl
DTSTAMP:20261109T150632Z
DTSTART;TZID=Europe/Warsaw:20191119T164500
DTEND;TZID=Europe/Warsaw:20191119T174500
SUMMARY:QFRG & DSLab seminar: Predicting well-being based on features visib
 le from space – the case of Warsaw!
DESCRIPTION:Piotr Wójcik\, Krystian Andruszek\n\nhttps://qfrg.wne.uw.edu.p
 l/seminars/2-predicting-well-being-based-on-features-visible-from/
LOCATION:Room B002\, Faculty of Economic Sciences\, University of Warsaw\, 
 Warsaw\, ul. Długa 44/50
URL:https://qfrg.wne.uw.edu.pl/seminars/2-predicting-well-being-based-on-fe
 atures-visible-from/
END:VEVENT
END:VCALENDAR
