BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CREST - ECPv5.1.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:CREST
X-ORIGINAL-URL:https://crest.science
X-WR-CALDESC:Events for CREST
BEGIN:VTIMEZONE
TZID:Europe/Helsinki
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20251026T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20250923T121500
DTEND;TZID=Europe/Helsinki:20250923T133000
DTSTAMP:20260710T030625
CREATED:20250729T122436Z
LAST-MODIFIED:20250916T133124Z
UID:18259-1758629700-1758634200@crest.science
SUMMARY:Matt GORDON (PSE) - "Dumps"
DESCRIPTION:Applied Micro Seminar : Every Tuesday \nTime: 12:15 pm – 13:30 pm\nDate: September\, 23th\nRoom : 3001 \n  \nMatt GORDON (Dumps) \nAbstract : \n“Solid waste is rapidly accumulating in the environment\, however research on the causes and consequences of this type of pollution is difficult due to a lack of data. This paper quantifies the extent to which the international trade in waste contributes to global solid waste pollution. We develop methods that use unrepresentative\, crowd-sourced data on informal landfills\, combined with machine learning on satellite imagery to create a globally representative time series of open-air waste sites. Our approach is based on verifying the ground-truth status of an optimally chosen subset of the machine-learning model’s predictions to debias our estimates and maximize efficiency. Our results show a dramatic increase in open-air landfills globally after China banned imports of waste in 2018. The increase is particularly pronounced in countries that saw large increases in imports after 2018\, suggesting that traded waste plays a role in overwhelming local waste management systems and the subsequent leakage of waste into the environment. Our methodological contributions are valuable for generating descriptive statistics and measuring causal effects on rare land-use types.” \n  \nOrganizers:\nBenoît SCHMUTZ (Pôle économie du CREST)\nClément MALGOUYRES (Pôle économie du CREST) \nSponsors:\nCREST \n
URL:https://crest.science/event/https-sites-google-com-view-mdgordon-home/
CATEGORIES:Applied Seminar,Seminars
ATTACH;FMTTYPE=:
END:VEVENT
END:VCALENDAR