Philosophy of Statistics Early Career Summer Workshop 2026
Minneapolis
United States
Sponsor(s):
- National Science Foundation
Organisers:
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Statistics is extraordinarily important to the practice of the sciences, but remains relatively underexplored by philosophers. This event brings together early career researchers (including current graduate students) from philosophy and related disciplines who are interested in the philosophy of statistics for a pre-read workshop and discussion in Minneapolis. We hope that the workshop will not just involve presenting and sharing current ideas, but will foster future collaborations and form the foundations for a network and community of young scholars working in the area. We welcome abstracts for papers that address questions such as:
- In what sense can epistemological principles provide foundations for the varied practices of statistics?
- How do specific statistical techniques such as bootstrapping, regularization, or principal component analysis contribute to knowledge in the sciences?
- What is the social epistemology of statistics? How do social factors like plug-n-play R packages affect our understanding of the knowledge that we gain from statistics?
- What special ethical problems arise in the practice of statistics, and how can these problems be addressed?
- What, if any, are the important philosophical differences between statistics as traditionally conceived and “machine learning” or “data science”?
The workshop will take place at the University of Minnesota, Twin Cities from 3-5 August, 2026. Attendees will be expected to submit a completed paper by 29 June to be read by the other attendees. Instead of presenting their own paper, each attendee will give a commentary presentation on one of the other accepted papers. Besides the workshop proper, our schedule builds in substantial time for informal discussions and an outdoor excursion in the Twin Cities. The organizers will cover expenses for food, accommodations, and travel within North America.
This event is funded by the NSF grant #2042366 (“A Modern Philosophy for Classical Statistical Testing and Estimation”).
How to apply
Please prepare the following:
- A curriculum vitae.
- A letter of reference of no more than 1 page addressing the candidate’s ability to participate in the event, how they would benefit from doing so, and what they bring to collegial philosophical discussions.
- A personal statement of roughly 250 words describing how the event will contribute to your ongoing research, education, or career development.
- An abstract of no more than 750 words excluding references.
Submit all of these at https://forms.gle/ysiwnjk9t, except for the letter of reference, which your referee should send directly to Sam Fletcher at [email protected]. All items are due 19 April, 2026. All submitted files should be in PDF format.
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