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PRODID:-//Grails iCalendar plugin//NONSGML Grails iCalendar plugin//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260312T222454Z
DTSTART;TZID=America/New_York:20171201T103000
DTEND;TZID=America/New_York:20171201T113000
SUMMARY:The Epistemology of Data Use: Conditions for Inferential Reasoning in the Age of Big Data Science
UID:20260312T231952Z-iCalPlugin-Grails@fe80:0:0:0:d82f:e3ff:fe6c:fc8a%3
TZID:America/New_York
LOCATION:4200 Fifth Avenue\, Pittsburgh\, United States\, 15260
DESCRIPTION:<p>ABSTRACT: This talk examines the epistemology of data by addressing the challenges raised by &lsquo\;big data science&rsquo\;\, and particularly the dissemination and re-use of large datasets via intricate and nested infrastructures such as digital databases. Empirically\, my analysis is grounded on the in-depth qualitative study of &ldquo\;data journeys&rdquo\;\, that is ways in which datasets are circulated and used for a variety of purposes across several different contexts. Conceptually\, the talk brings my previous work on the relational nature of data to bear on existing philosophy of inductive reasoning and the triangulation of multiple lines of evidence (most prominently by John Norton\, Alison Wylie and William Wimsatt)\, with the aim of outlining conditions under which big data can be used to reliably inform inferential reasoning. I conclude by highlighting five ways in which data science that fails to operate under such conditions could significantly damage scientific methods and the credibility of research outputs.</p>
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