Dear Colleagues,
We are delighted to announce our upcoming workshop
- The Statistics Wars and Their Casualties! (phil-stat-wars.com). The
workshop
will now be fully online*. The first 2 meetings (sessions 1 & 2) will be
September 22 and September 23, 2022
15-18:00 pm London time.
There will be two future online meetings (sessions 3 & 4) probably in
December with dates and times to be announced. There will be lots of
opportunities to engage in discussion with attendees and special
panelists. We very much hope to see you there!
To register/receive notification of updates, schedules and titles of
talks, please
fill out the form at this link
.
We would be grateful if you would forward this e-mail to interested
colleagues. If you have questions, please contact:
Jean Miller
Jemille6@vt.edu
or
Margherita Harris
M.Harris2@lse.ac.uk
Warmest Wishes,
D. Mayo
R. Frigg
M. Harris
[image: phil-stat-wars-1.png]
The Statistics Wars
and Their Casualties
22-23 September 2022
*15:00-18:00 pm London Time**ONLINE
To register/receive notification of updates for the workshop,
*please fill out *the registration/notification form here
.
*These will be sessions 1 & 2, there will be two more futureonline
sessions (3 & 4) to be announced.
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 Guettinger
(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), Jon Williamson
(University
of Kent)
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 and other fields, people are getting serious about
reforms. Many are welcome (preregistration, transparency about data,
eschewing mechanical uses of statistics); some are quite radical. The
experts do not agree on how to restore scientific integrity, and these
disagreements reflect philosophical battles–old and new– about the nature
of inductive-statistical inference and the roles of probability in
statistical inference and modeling. These philosophical issues simmer below
the surface in competing views about the causes of problems and potential
remedies. If statistical consumers are unaware of assumptions behind rival
evidence-policy reforms, they cannot scrutinize the consequences that
affect them (in personalized medicine, psychology, law, and so on).
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.
Sponsors/Collaborations:
Sponsors: 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
To register/receive notification of updates
- for the workshop,please fill out *the registration/notification form
here.
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