Eurograd message

Message posted on 09/09/2022

2 Week reminder & Schedule for The Statistics Wars and Their Casualties workshop (Sept 22 & 23 online)

Dear Colleagues,

We are delighted to announce the final speaker lineup and panelists for The Statistics Wars and Their Casualties workshop (phil-stat-wars.com). The first two sessions will be on 22-23 September 2022; the last two sessions will be on 1 and 8 of December 2022. The workshop schedule (regularly updated) and abstracts can be found at this link. The workshop will be fully online. One can register by filling out the form here .

We would be very grateful if you would forward this e-mail to members of the EASST-Eurograd listserv, and other interested colleagues.

If there are questions, please contact:

Jean Miller

Jemille6@vt.edu

or

Margherita Harris

M.Harris2@lse.ac.uk

Warmest Wishes,

D. Mayo

R. Frigg

M. Harris

The Statistics Wars

and Their Casualties

22-23 September 2022

  • 15:00-18:00 pm London Time

ONLINE

To register for the workshop,

*please fill out *the registration form here

.

*These will be sessions 1 & 2, there will be two more

online sessions (3 & 4) on December 1 & 8.

While the field of statistics has a long history of passionate foundational controversy, the last decade has, in many ways, been the most dramatic. Misuses of statistics, biasing selection effects, and high-powered methods of big-data analysis, have helped to make it easy to find impressive-looking but spurious results that fail to replicate. As the crisis of replication has spread beyond psychology and social sciences to biomedicine, genomics, machine learning and other fields, the need for critical appraisal of proposed reforms is growing. Many are welcome (transparency about data, eschewing mechanical uses of statistics); some are quite radical. The experts do not agree on the best ways to promote trustworthy results, and these disagreements often reflect philosophical battles–old and new– about the nature of inductive-statistical inference and the roles of probability in statistical inference and modeling. Intermingled in the controversies about evidence are competing social, political, and economic values. If statistical consumers are unaware of assumptions behind rival evidence-policy reforms, they cannot scrutinize the consequences that affect them. What is at stake is a critical standpoint that we may increasingly be in danger of losing. Critically reflecting on proposed reforms and changing standards requires insights from statisticians, philosophers of science, psychologists, journal editors, economists and practitioners from across the natural and social sciences. This workshop will bring together these interdisciplinary insights–from speakers as well as attendees.

Speakers/Panellists:

Yoav Benjamini

(Tel Aviv University), Alexander Bird (University of Cambridge), Mark Burgman (Imperial College London), Daniele Fanelli (London School of Economics and Political Science), Roman Frigg (London School of Economics and Political Science), Stephan Guttinger

(London School of Economics and Political Science), David Hand (Imperial College London), Margherita Harris

(London School of Economics and Political Science), Christian Hennig (University of Bologna), Daniël Lakens (Eindhoven University of Technology), Deborah Mayo

(Virginia Tech), Richard Morey (Cardiff University), Stephen Senn (Edinburgh, Scotland), Uri Simonsohn (Esade Ramon Llull University), Aris Spanos (Virginia Tech), Jon Williamson

(University of Kent)

Sponsors/Affiliations:

The Foundation for the Study of Experimental Reasoning, Reliability, and the Objectivity and Rationality of Science (E.R.R.O.R.S.); Centre for Philosophy of Natural and Social Science (CPNSS), London School of Economics; Virginia Tech Department of Philosophy

  • Organizers*: D. Mayo, R. Frigg and M. Harris

Logistician (chief logistics and contact person): Jean Miller

Executive Planning Committee: Y. Benjamini, D. Hand, D. Lakens and S. Senn

To register

  • for the workshop, *

*please fill out *the registration form here.


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