CALL FOR PAPERS (Synthese) Recent Issues in Philosophy of Statistics: Evidence, Testing, and Applications

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Call for Papers: Topical Collection in Synthese

Title: Recent Issues in Philosophy of Statistics: Evidence, Testing, and Applications

The deadline for submissions is 1 November, 2020 1 December 2020

Description:

Statistics 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 “Philosophy of Statistics” 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.

Appropriate topics for submission include, among others:

• Analyses and critiques of particular statistical concepts and practices
• Methods in “statistical forensics” whose goal is to shed light on whether a body of research is trustworthy
• Statistics as related to topics such as causal inference and idealization
• Analyses of the evidential status of statistical arguments in the law, grounded in practical cases
• Philosophically motivated conceptions of evidence
• Issues in data science, psychology, and medical epistemology

For further information, please contact the guest editor(s): molly.kao@umontreal.ca; eshech@auburn.edu

See: https://philevents.org/event/show/83126

Journal: Synthese

Guest Editor(s):

Molly Kao, University of Montreal
Deborah Mayo, Virginia Tech
Elay Shech, Auburn University