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Posts by Insa Lawler (Pryor)

Tenure! As of August 1, I'll be Associate Professor (with tenure). Thank you very much to everyone who supported me along the way. I appreciate you!

3 weeks ago 11 0 5 0
Internalist vs. Externalist Conceptions of Epistemic Justification (Stanford Encyclopedia of Philosophy)

My entry for the SEP on externalism vs. internalism about justification is now live.

plato.stanford.edu/entries/just...

4 months ago 56 12 0 0
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New: Online Master’s Program in Applied Ontology - Daily Nous The University at Buffalo is launching a fully online program in applied ontology. Graduates will leave the program with an MS degree. The program, based in Buffalo's Department of Philosophy, aims to...

The Department of Philosophy at the University at Buffalo is starting a fully online MS program in applied ontology...

5 months ago 1 1 0 0
Does scientific progress need aims?

If you're interested in progress: In my paper "Does scientific progress need aims?" (open access), I reject the widespread assumption that scientific progress must be defined in terms of aims. I argue that the notion of (scientific) progress is not inherently a goal-relative concept. rdcu.be/eLM8x

6 months ago 2 0 0 0
Video

This is what democracy looks like. #NoKings

6 months ago 88859 28798 2306 1838
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Wandering Inquiry - published on October 9, 2025 Inquiry is guided, in the minimal sense that it is not haphazard. It is also often thought to have as a natural stopping point ceasing to inquire, once inquiry into a question yields knowledge of an a...

"Wandering Inquiry" by Susanna Siegel #newarticle
#onlinefirst #philosophy #philsky

doi.org/10.5840/jphi...

6 months ago 7 4 0 1
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Current Workshop CFA: 8th Scientific Understanding and Representation (SURe) annual workshop   Call for abstracts        We invite authors to submit abstracts of up to 750-words for the upcoming...

CFA: the 8th SURe workshop will take place May 27-29, 2026, at the IFiS PAN in Warsaw.

Submission deadline: 20 January 2026.

For more info visit: sure-workshop.weebly.com/current-work...

@philsci.bsky.social @epsaphilsci.bsky.social

6 months ago 10 4 0 0

Herzlichen Glückwunsch! 🥳

6 months ago 3 0 1 0

Congratulations!

6 months ago 1 0 1 0

At LSE Philosophy we have two assistant prof vacancies - one for sustainability-related areas, the other for AI-related areas - and for neither of these will you need a $100,000 visa.

6 months ago 34 14 0 0
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Tenure track philosophy job in Canada

Western University’s Department of Philosophy seeks to hire a Asst Professor with an area of specialization in one or more of metaphysics,
epistemology, and logic, broadly construed). The anticipated start date is July 1,
2026

www.uwo.ca/facultyrelat...

7 months ago 20 18 1 1
Screenshot of account deletion process on academia.edu

Screenshot of account deletion process on academia.edu

Just deleted my academia.edu account after 17 (!) years -- the company's exploitative new terms of use are outrageous, and it's a shame such a blatant commercial sell-out is able to operate under the .edu top-level domain. If you are still on academia.edu, please consider deleting your account too.

7 months ago 183 52 6 7
Inferring to the Best Explanation from Uncertain Evidence | Philosophy of Science | Cambridge Core Inferring to the Best Explanation from Uncertain Evidence

A weirdly underappreciated problem about Inference to the Best Explanation is how it can handle uncertain evidence. This new paper, now forthcoming in Philosophy of Science, proposes a strategy for doing that (and argues that Einstein may have used it). #philsky #philsci

doi.org/10.1017/psa....

7 months ago 25 10 3 0

How annoying!

7 months ago 1 0 0 0
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Joachim Horvath, Steffen Koch & Michael G. Titelbaum (eds.), Methods in Analytic Philosophy: A Primer and Guide - PhilPapers Forthcoming guide with brief introductions on methods in analytic philosophy by experts on the relevant topics. With sections on: formal methods, argumentation, inferential methods, thought experiment...

Check out this open access volume on Methods in Analytic Philosophy!

I contributed a paper on philosophical progress and disagreement with Finnur Dellsén @dellsen.bsky.social and James Norton.
philpapers.org/rec/HORAPA-2

8 months ago 24 5 0 0
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Inclusive inquiry What is the point of inquiry? Some say that the aim of inquiring into some question is to come to know its answer; others, that the aim is to attain justified belief, epistemic improvement, or some o...

New paper now forthcoming in PPR, co-authored with Bob Beddor.

Argues that inquiry, especially in science, needs to be construed as a more social/egalitarian endeavor: the point of inquiring is often to confer epistemic benefits on others. #philsky #philsci

onlinelibrary.wiley.com/doi/10.1111/...

8 months ago 24 5 1 0
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Catharine Saint-Croix, Greco (2023) _Idealization in Epistemology_ and McKenna (2023) _Non-Ideal Epistemology_ - PhilPapers Epistemology is rife with idealization. And, although concern about particular idealizations—logical omniscience, infinite iterations of common knowledge, and so on—is long-standing, systematic metaep...

Haven't had a chance to read this double review-essay from @catsaintcroix.bsky.social on Greco and @rbnmckenna.bsky.social's books on idealisation in epistemology yet, but it looks really interesting

8 months ago 15 2 1 0
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Can we perceive modal properties? Can we see only how things actually are, or are we also able to see how things could be? Much work in philosophy of perception assumes that our visual perceptual experience is restricted to the actua....

Such a readable and fascinating argument by @jessiemunton.bsky.social of @cambridgephilos.bsky.social To see a visual object is to see how it could be, not just how it is. #openaccess #philsky

8 months ago 108 25 7 2

Welcome!

8 months ago 2 0 0 0
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Lecturer in Philosophy (2216) - Birkbeck, University of London Birkbeck

Two permanent Lecturer posts at Birkbeck (equivalent of Assistant Professor). Area of specialisation is open but with teaching needs in ethics & phil of AI, ethics and poli phil, ancient, gender, continental, engaged. Closing date August 28th, start in Jan 2026 'a significant advantage' #philsky

9 months ago 49 51 1 3
A statement of Descartes' fourth rule of motion, which states that a smaller body can never move a stationary larger body, no matter its speed

A statement of Descartes' fourth rule of motion, which states that a smaller body can never move a stationary larger body, no matter its speed

Tell me you've never cared for a toddler without telling me you've never cared for a toddler. (Descartes' fourth rule governing collisions, from Principles of Philosophy [1644].)

8 months ago 5 1 0 0
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Philosophy of Biology Welcome to Cambridge Core

Read all Elements in The Philosophy of Biology series for FREE during the ISHPSSB conference 20 - 25 July. You can find all of these Elements free to download and read here: cup.org/4kEgivL

9 months ago 122 68 7 6
Apply - Interfolio {{$ctrl.$state.data.pageTitle}} - Apply - Interfolio

2 tenure-track Asst or Assoc professor jobs in History/Anthropology of Science, Technology & Medicine at
Carnegie Mellon U to begin in August 2026. Tech & social change or environmental & social impacts of STM; time period & geographic specialization open.
#HPS #HistSTM #STS
Deadline: Sep 15, 2025

9 months ago 33 22 0 2
ABSTRACT In the face of today’s statistical crisis of science, it is often recommended that statistical significance tests be replaced with Bayes factor tests. In this article, I examine this recommendation. Bayes factor tests, unlike statistical significance tests, only depend on the probability of the data under H0 and a competitor H1. They are insensitive to a method’s error probabilities such as significance levels, type 1 and type 2 errors, and confidence levels. It might be thought that if a method is insensitive to error probabilities that it escapes the inferential consequences of inflated error rates at the heart of obstacles to replication. I will argue that this is not the case, and that Bayes factor tests can accord strong evidence to a claim H, even though little has been done to rule out H’s flaws. There are two reasons: their insensitivity to biasing selection effects, and the fact that H and its competitor need not exhaust the space of relevant possibilities. I will show how this results in a disconnect between Bayes factor tests and error control protocols that are being called for by replication reforms. To solve the problem, I propose that commonly used Bayes factor tests be supplemented with a post-data severity concept in the frequentist error statistical sense. The question is not whether ‘severity’ can be redefined Bayesianly—of course it can—the question is whether the resulting concept can address today’s concerns behind obstacles to replication. I will also respond to criticisms of the severity reformulation of statistical significance tests, and show how it enables avoiding fallacies of statistical tests.

ABSTRACT In the face of today’s statistical crisis of science, it is often recommended that statistical significance tests be replaced with Bayes factor tests. In this article, I examine this recommendation. Bayes factor tests, unlike statistical significance tests, only depend on the probability of the data under H0 and a competitor H1. They are insensitive to a method’s error probabilities such as significance levels, type 1 and type 2 errors, and confidence levels. It might be thought that if a method is insensitive to error probabilities that it escapes the inferential consequences of inflated error rates at the heart of obstacles to replication. I will argue that this is not the case, and that Bayes factor tests can accord strong evidence to a claim H, even though little has been done to rule out H’s flaws. There are two reasons: their insensitivity to biasing selection effects, and the fact that H and its competitor need not exhaust the space of relevant possibilities. I will show how this results in a disconnect between Bayes factor tests and error control protocols that are being called for by replication reforms. To solve the problem, I propose that commonly used Bayes factor tests be supplemented with a post-data severity concept in the frequentist error statistical sense. The question is not whether ‘severity’ can be redefined Bayesianly—of course it can—the question is whether the resulting concept can address today’s concerns behind obstacles to replication. I will also respond to criticisms of the severity reformulation of statistical significance tests, and show how it enables avoiding fallacies of statistical tests.

Just accepted:

‘Severe Testing: Error Statistics versus Bayes Factor Tests’
– Deborah Mayo

Abstract in alt text or read the full paper here (open access): www.journals.uchicago.edu/doi/10.1086/...

#philsci #philsky

9 months ago 12 3 0 0
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As usual, an impressively thorough, philosophically cautious, yet thought-provoking talk by Emily Sullivan as keynote and recipient of IACAP’s Herbert Simon Award.

#philsci #philtech

9 months ago 15 3 0 1
Studies in History and Philosophy of Science
journal homepage: www.elsevier.com/locate/shpsa
Understanding data uncertainty
Alisa Bokulich", Wendy S. Parker b,"
" Department of Philosophy, Boston University, United States
› Department of Philosophy, Virginia Tech, United States
ABSTRACT
Scientific data without uncertainty estimates are increasingly seen as incomplete. Recent discussions in the philosophy of data, however, have given little attention to the nature of uncertainty estimation. We begin to redress this gap by, first, discussing the concepts and practices of uncertainty estimation in metrology and showing how they can be adapted for scientific data more broadly; and second, advancing five philosophical theses about uncertainty estimates for data: they are substantive
adequacy-for-purpose view of uncertainty estimation, addresses a weakness in a recent philosophical account of data, and provides a new perspective on the "safety" versus "precision" debate in metrology.
1. Introduction
Uncertainty is an inescapable part of science. Yet while much has been written in recent years on uncertainty in computational modeling contexts (especially related to climate modeling; see, e.g., Parker, 2010;
Frigg, Thompson, & Werndl, 2015; Knutti et al., 2019), comparatively little philosophical attention has been given to uncertainty associated with scientific data collected via observation, measurement, and experiment. Important preliminary work on this topic examines the evaluation of systematic uncertainty in measurement (Staley, 2020), changing conceptions of uncertainty in metrology (de Courtenay & Grégis, 2017; Grégis, 2019b), and the representation of uncertainty when measurements are discordant (Grégis, 2019a). Overall, however, when it comes to uncertainty associated with scientific data obtained via observation, measurement, and experiment—what we will call "data uncertainty"-the territory remains largely unexplored from a philosophical point of view.
Conception…

Studies in History and Philosophy of Science journal homepage: www.elsevier.com/locate/shpsa Understanding data uncertainty Alisa Bokulich", Wendy S. Parker b," " Department of Philosophy, Boston University, United States › Department of Philosophy, Virginia Tech, United States ABSTRACT Scientific data without uncertainty estimates are increasingly seen as incomplete. Recent discussions in the philosophy of data, however, have given little attention to the nature of uncertainty estimation. We begin to redress this gap by, first, discussing the concepts and practices of uncertainty estimation in metrology and showing how they can be adapted for scientific data more broadly; and second, advancing five philosophical theses about uncertainty estimates for data: they are substantive adequacy-for-purpose view of uncertainty estimation, addresses a weakness in a recent philosophical account of data, and provides a new perspective on the "safety" versus "precision" debate in metrology. 1. Introduction Uncertainty is an inescapable part of science. Yet while much has been written in recent years on uncertainty in computational modeling contexts (especially related to climate modeling; see, e.g., Parker, 2010; Frigg, Thompson, & Werndl, 2015; Knutti et al., 2019), comparatively little philosophical attention has been given to uncertainty associated with scientific data collected via observation, measurement, and experiment. Important preliminary work on this topic examines the evaluation of systematic uncertainty in measurement (Staley, 2020), changing conceptions of uncertainty in metrology (de Courtenay & Grégis, 2017; Grégis, 2019b), and the representation of uncertainty when measurements are discordant (Grégis, 2019a). Overall, however, when it comes to uncertainty associated with scientific data obtained via observation, measurement, and experiment—what we will call "data uncertainty"-the territory remains largely unexplored from a philosophical point of view. Conception…

⏰ Free access to read & download thru August 20 the final published version of Wendy Parker & my paper "Understanding Data Uncertainty" at this link ⬇️
authors.elsevier.com/c/1lMUI8yuR6...

#philsci #metasci 🧪 ⚒️

9 months ago 82 24 1 2
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Spread the word! The Philosophical Quarterly is celebrating the philosopher philosophers love: 'Themes from David Lewis's Metaphysics' will be our next Special Issue, call for papers here:

academic.oup.com/pq/pages/cal...

@oupphilosophy.bsky.social @standrewsphil.bsky.social

9 months ago 26 12 0 0

Congratulations!

9 months ago 1 0 1 0
Chapel Hill Normativity Workshop

For one year only, the 8th Chapel Hill Normativity Workshop will (paradoxically) be in Montreal! Keynote by Jane Friedman plus 7 talks selected via open CFA. As usual, accepted papers eligible for special issue of Phil Studies. Submissions due Oct 15th; more info at normativity.web.unc.edu

9 months ago 2 3 0 0
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Researchers Uncover Hidden Ingredients Behind AI Creativity | Quanta Magazine Image generators are designed to mimic their training data, so where does their apparent creativity come from? A recent study suggests that it’s an inevitable by-product of their architecture.

A new paper shows that the “creativity” of certain AI may actually be a direct, inevitable consequence of how they are built. Webb Wright reports:
www.quantamagazine.org/researchers-...

9 months ago 27 11 1 6