BEGIN:VCALENDAR PRODID:-//Grails iCalendar plugin//NONSGML Grails iCalendar plugin//EN VERSION:2.0 CALSCALE:GREGORIAN METHOD:PUBLISH BEGIN:VEVENT DTSTAMP:20240328T212358Z DTSTART;TZID=America/Toronto:20201201T180000 DTEND;TZID=America/Toronto:20201201T180000 SUMMARY:Recent Issues in Philosophy of Statistics: Evidence\, Testing\, and Applications UID:20240328T212358Z-iCalPlugin-Grails@philevents-web-6f97df9687-7c6q9 TZID:America/Toronto DESCRIPTION:
This is a CFP for a topical collection of the journal Synthese
\nTitle: Recent Issues in Philosophy of Statistics: Evidence\, Testing\, and Applications
\nDescription:
\nStatistics play an essential role in an extremely wide range of human reasoning. From theorizing in the physical and social sciences to determining evidential standards in legal contexts\, statistical methods are ubiquitous\, and questions about their proper application inevitably arise. As tools for making inferences that go beyond a given set of data\, they are inherently a means of reasoning ampliatively\, and so it is unsurprising that philosophers interested in the notions of evidence and inductive inference have been concerned to utilize statistical frameworks to further our understanding of these topics. The purpose of this volume is to present a cross-section of subjects related to statistical argumentation\, written by scholars from a variety of fields in order to explore issues in philosophy of statistics from different perspectives. Here\, we intend for &ldquo\;Philosophy of Statistics&rdquo\; to be broadly construed. \; This volume will thus include discussions of foundational issues in statistics\, as well as questions having to do with evidence\, induction\, and confirmation as applied in various contexts.
\nAppropriate topics for submission include\, among others:
\n·\; \; \; \; \; \; \; Analyses and critiques of particular statistical concepts and practices
\n·\; \; \; \; \; \; Methods in &ldquo\;statistical forensics&rdquo\; whose goal is to shed light on whether a body of research is trustworthy
\n·\; \; \; \; \; \; \; Statistics as related to topics such as causal inference and idealization
\n·\; \; \; \; \; \; Analyses of the evidential status of statistical arguments in the law\, grounded in practical cases
\n·\; \; \; \; \; \; \; Philosophically motivated conceptions of evidence
\n·\; \; \; \; \; \; \; Issues in data science\, psychology\, and medical epistemology
\nFor further information\, please contact the guest editor(s): molly.kao@umontreal.ca\; eshech@auburn.edu
\nThe deadline for submissions is 1 December\, 2020.
\nJounral: Synthese
\nGuest Editor(s):
\nMolly Kao\, University of Montreal
\nDeboray Mayo\, Virginia Tech
\nElay Shech\, Auburn University
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