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/Paris
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20200329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20201025T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20200130T120000
DTEND;TZID=Europe/Paris:20200130T131500
DTSTAMP:20260712T221409
CREATED:20191031T101359Z
LAST-MODIFIED:20191031T101359Z
UID:12354-1580385600-1580390100@crest.science
SUMMARY:Ivan ERMAKOFF (Wisconsin University) - "Causality and History: Modes of Causal investigation"
DESCRIPTION:\nThe Sociology Seminar: Thursdays\nTime: 12:00 pm – 1:15 pm\nDate: 30th of January 2020\nPlace: Room 3105\, ENSAE.\nIvan ERMAKOFF (Wisconsin University) – “Causality and History: Modes of Causal investigation”\nAbstract : Studies at the confluence of history and social science address issues of causation in three ways: morphological\, variable-centered\, and genetic. These approaches to causal investigation differ with regard to their modus operandi\, the types of patterns they look for\, their underlying assumptions and the challenges they face. Morphological inquiries elaborate causal arguments by uncovering patterns in the empirical layout of socio-historical phenomena. To this end\, these inquiries draw on descriptive techniques of data formalization. Variable-centered studies engage causal issues by investigating patterns of association among empirical categories under the twofold assumption that these categories a priori have explanatory relevance and each category empirically has the same meaning across cases. Genetic analyses ground their causal claims by identifying patterned processes of emergence or production.\nOrganizers : \nJeanne GANAULT\, Céline GOFFETTE\, Sébastien MICHIELS\, Sander WAGNER (Laboratoire de sociologie quantitative – CREST)\nSponsors :\nCREST\n\n
URL:https://crest.science/event/ivan-ermakoff/
CATEGORIES:Sociology
ATTACH;FMTTYPE=:
END:VEVENT
END:VCALENDAR