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:UTC
BEGIN:STANDARD
TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20230101T000000
END:STANDARD
TZID:Europe/Helsinki
BEGIN:DAYLIGHT
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
TZNAME:EEST
DTSTART:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
TZNAME:EET
DTSTART:20231029T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=UTC:20231113T080000
DTEND;TZID=UTC:20231123T170000
DTSTAMP:20260711T052908
CREATED:20231019T101825Z
LAST-MODIFIED:20231110T134923Z
UID:16119-1699862400-1700758800@crest.science
SUMMARY:Natural Language Processing\, Julien Boelaert (CERAPS\, Université de Lille)
DESCRIPTION:  \n\n\n\n  \n  \nSCHEDULE\n  \nMonday\n  \n13th November 2023 \n20th November 2023\n  \nFrom 13:00 to 16:15\n  \nRoom 2033\n\n\n  \nThursday\n  \n16th November 2023 \n23rd November 2023\n  \nFrom 13:00 to 16:15\n  \nRoom 2033\n\n\n\nAims and objectives\nThe aim of this course is to provide an introduction to the main contemporary methods for natural language processing\, and to illustrate them with recent uses of text as data in social sciences. \nNatural language processing has made giant steps during the last decade\, as illustrated in 2023 by the resounding popularity of chatGPT. In addition\, text corpora have become increasingly available for exploitation by social scientists\, be it through digitization of originally paper sources (eg. Parliamentary sessions transcripts\, printed newspapers\, books\, historical sources\, …) or audio sources (through automatic transcription)\, or through the advent of natively digital sources (from social media\, online newspapers\, …). \nThe course will start with the standard (aka pre-neural) methods of the late 20th century\, based on large document-feature matri-ces. We will then cover more recent developments: word embeddings (for improved NLP\, or studies about bias in text corpora)\, topic modeling with Latent Dirichlet Allocation (unsupervised detection of topics)\, and Transformer models (current state of the art\, BERT- and GPT-like models). Each session will comprise a theoretical lecture\, and applied examples on R or python. \n\n
URL:https://crest.science/event/natural-language-processing-julien-boelaert-ceraps-universite-de-lille/
LOCATION:2033
CATEGORIES:Doctoral Courses,Sociology
ORGANIZER;CN="Etienne%20Ollion":MAILTO:etienne.ollion@ensae.fr
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Helsinki:20231121T121500
DTEND;TZID=Europe/Helsinki:20231121T133000
DTSTAMP:20260711T052908
CREATED:20230802T093709Z
LAST-MODIFIED:20231103T133546Z
UID:15319-1700568900-1700573400@crest.science
SUMMARY:Gabriel Loumeau (VU Amsterdam) - "The Persistence of Urban Decline: Evidence from France's Largest Coal Basin"
DESCRIPTION:Applied Micro Seminar : Every Tuesday \nTime: 12:15 pm – 13:30 pm\nDate: 21th of November\nRoom : 3001 \n  \nGabriel Loumeau (VU Amsterdam) – The Persistence of Urban Decline: Evidence from France’s Largest Coal Basin \n  \nAbstract : \nUrban decline and urban growth are not two sides of the same coin. When local positive shocks occur it typically leads to an expansion of the building stock\, but when negative shocks hit\, the existing building stock persists. In this paper\, we set up a spatial equilibrium model to disentangle the impact of spillovers and housing quality in determining the persistence of urban decline. We use the history of coal production in France’s largest mining basin as a source of exogenous variation in negative economic shocks. The geological delimitation of the basin and the placement of large-scale housing developments in close proximity to mines provide us with the opportunity to exploit very local spatial variation to identify the causal determinants of urban decline. We show that housing prices today drop by 11.2% when entering the mining basin. About 40% of this gap can be attributed to consistently lower housing quality\, with the remaining portion being ascribed to spillover effects. \nCoauthored with Hans Koster \n  \nOrganizers:\nBenoît SCHMUTZ (Pôle d’économie du CREST)\nClément MALGOUYRES (Pôle d’économie du CREST)\nSponsors:\nCREST \n
URL:https://crest.science/event/gabriel-loumeau-vu-amsterdam-t-b-a/
CATEGORIES:Applied Seminar,Seminars
ATTACH;FMTTYPE=:
END:VEVENT
END:VCALENDAR