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Sarah Wieten @sarahwieten.bsky.social · 2d

Thanks Peter thats kind.

Sarah Wieten @sarahwieten.bsky.social · 2d

This is an external list, but lovely thought.

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Sarah Wieten @sarahwieten.bsky.social · 2d

I am starting work on my promotion file. If I have provided mentoring for you, and you might be willing to be added to a list that says as much, please get in touch. Thanks!

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Sarah Wieten @sarahwieten.bsky.social · 2d

Oh hello old twitter friends!

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Sarah Wieten @sarahwieten.bsky.social · 2d

I don't think I think there is such a thing as "scientific merit alone" but still.

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Sarah Wieten @sarahwieten.bsky.social · 2d

Congrats MIT

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Sarah Wieten @sarahwieten.bsky.social · 2d

I have some research leave in the spring and would like to work on my history and philosophy of technology book somewhere in the UK or Europe. Any suggestions of fellowships or good libraries?

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Ilya Kashnitsky @ikashnitsky.phd · 7d

btw do you know of academic papers that critically examine this #bibliometrics exercise? (I vividly remember coming across a very convincing vivisection of this paper/dataset and the harms it casts on scientific community)

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Catherine Clarke @cathamclarke.bsky.social · 11d

I'm hugely honoured and very excited to be giving this year's Historical Research #Lecture at @ihr.bsky.social, on 'Can popular #history be radical? Historical research and writing for the #public'. Tuesday 4 November, all welcome. More info in AltText. Book here: www.sas.ac.uk/news-events/...

In this lecture, Catherine Clarke will re-visit the question of what makes history radical, asking what kind of radical history we need in our public life and contemporary context today. In particular, she’ll explore ways in which popular history – trade publishing for a wide public audience – has the capacity to be radical, drawing on experiences and examples from her own new book A History of England in 25 Poems (Penguin Allen Lane, September 2025). Catherine’s lecture will move towards a manifesto for how research-led, scholarship-driven popular history can and does make necessary, vital public interventions – from opening inclusive conversations and confronting the rise of AI, to modelling radical empathy and imagination.

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Sarah Wieten @sarahwieten.bsky.social · 12d

I just learned some of my work is being translated into Polish and that is pretty cool.

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Sarah Wieten @sarahwieten.bsky.social · 12d

I got it! Now to race Farage to citizenship!

Sarah Wieten @sarahwieten.bsky.social · 13d

I have my Leave to Remain in the UK appointment today. Wish me luck.

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Sarah Wieten @sarahwieten.bsky.social · 13d

I have my Leave to Remain in the UK appointment today. Wish me luck.

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The Wynter in Black 🎃🐈‍⬛ @rebeccawynter.bsky.social · 14d

📢New online event!💥

Roll-up, roll-up! Come for @sshmedicine.bsky.social's AGM, stay for The SSHM Lecture 2025: Prof. Jeremy Greene, 'Wasted medicines & medical wastes: Notes from the trash-heap of medical history'

6 Oct, 4-5:30pm BST. Deets & free registration 👇

#histmed #histSTM #matcult

SSHM AGM & The SSHM Lecture 2025

Monday 6 October [Online] 4:00 – 5:30pm (UK time) As required, the Society gives notice to members that the Annual General Meeting to formally accept the accounts for 2024 and for…

sshm.org

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Sarah Wieten @sarahwieten.bsky.social · Aug 23

The Philosophy of Medicine online reading group is resuming this fall on October 8!

For more information/to suggest a book (your book?) for the group to read, join @: groups.google.com/g/philmed-rg/

#philsci #philmed #bioethics

Please share widely, especially if the group has been helpful to you.

philmed.pitt.edu

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Sarah Wieten @sarahwieten.bsky.social · 13d

I have my Leave to Remain in the UK appointment today. Wish me luck.

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Sarah Wieten @sarahwieten.bsky.social · Sep 7

Just putting it out in the universe- I would love to host In Our Time.

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Emily Moin @emilymoin.com · Sep 3

In my field there is a huge enthusiasm for "AI" to provide clinical decision support when the fact of the matter is that the clinical decisions we actually have evidence to support can be modeled with rules that could be deployed on a tamagotchi.

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Sarah Wieten @sarahwieten.bsky.social · Aug 29

Every summer I visit family in northern Ontario Canada. It's a beautiful part of the world, but an unexpected boon is their still vibrant, often analog, local paper: the Manitoulin Expositor.

I wish we still had these local papers more places.
www.manitoulin.com

The Manitoulin Expositor | The latest news, opinions, weather, classifieds, obituaries and events for Manitoulin Island, the North Shore and Northern Ontario.

www.manitoulin.com

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Nicole Rust @nicolecrust.bsky.social · Aug 26

Who else argues (in print) that we should eliminate the category of "emotion" as an explanatory target?

I know of Griffiths:
press.uchicago.edu/ucp/books/bo...

And Moors:
www.cambridge.org/core/books/d...

What Emotions Really Are

In this provocative contribution to the philosophy of science and mind, Paul E. Griffiths criticizes contemporary philosophy and psychology of emotion for failing to take in an evolutionary perspectiv...

press.uchicago.edu

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Julia M. Rohrer @dingdingpeng.the100.ci · Aug 25

Ever stared at a table of regression coefficients & wondered what you're doing with your life?

Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social)
Preprint: doi.org/10.31234/osf...
Website: j-rohrer.github.io/marginal-psy...

Models as Prediction Machines: How to Convert Confusing Coefficients into Clear Quantities

Abstract
Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear models, but is more challenging for more complex models with, for example, categorical variables, interactions, non-linearities, and hierarchical structures. Here, we introduce an alternative approach to making sense of statistical models. The central idea is to abstract away from the mechanics of estimation, and to treat models as “counterfactual prediction machines,” which are subsequently queried to estimate quantities and conduct tests that matter substantively. This workflow is model-agnostic; it can be applied in a consistent fashion to draw causal or descriptive inference from a wide range of models. We illustrate how to implement this workflow with the marginaleffects package, which supports over 100 different classes of models in R and Python, and present two worked examples. These examples show how the workflow can be applied across designs (e.g., observational study, randomized experiment) to answer different research questions (e.g., associations, causal effects, effect heterogeneity) while facing various challenges (e.g., controlling for confounders in a flexible manner, modelling ordinal outcomes, and interpreting non-linear models).

Figure illustrating model predictions. On the X-axis the predictor, annual gross income in Euro. On the Y-axis the outcome, predicted life satisfaction. A solid line marks the curve of predictions on which individual data points are marked as model-implied outcomes at incomes of interest. Comparing two such predictions gives us a comparison. We can also fit a tangent to the line of predictions, which illustrates the slope at any given point of the curve.

A figure illustrating various ways to include age as a predictor in a model. On the x-axis age (predictor), on the y-axis the outcome (model-implied importance of friends, including confidence intervals).

Illustrated are
1. age as a categorical predictor, resultings in the predictions bouncing around a lot with wide confidence intervals
2. age as a linear predictor, which forces a straight line through the data points that has a very tight confidence band and
3. age splines, which lies somewhere in between as it smoothly follows the data but has more uncertainty than the straight line.

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Julia M. Rohrer @dingdingpeng.the100.ci · Aug 19

Okay everyone, things are getting serious. I’m going to teach research methods again, 1st year psychology undergraduates. What would you cover with respects to philosophy of science, the research process etc.? I’m not very happy with the textbook stuff so I’m open to all ideas!

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Sarah Wieten @sarahwieten.bsky.social · Aug 23

The Philosophy of Medicine online reading group is resuming this fall on October 8!

For more information/to suggest a book (your book?) for the group to read, join @: groups.google.com/g/philmed-rg/

#philsci #philmed #bioethics

Please share widely, especially if the group has been helpful to you.

philmed.pitt.edu

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Mark Fabian @markfabian.bsky.social · Jul 16

I'll be speaking at this online webinar on 9th August about "coproducing quantitative measures of value laden concepts: case studies from wellbeing" drawing on my research with @annaalexandrova.bsky.social among other things. The other speakers are great!

Register!
docs.google.com/forms/d/1IH9...

Quantification: History, Philosophy, Sociology, and Practice [Online Webinar]

Quantification: History, Philosophy, Sociology, and Practice Online Webinar organised by the Society for the Study of Measurement Time: 9th August 2025: 9:00AM to 1:00PM (ET), 14:00 to 18:00 BST/WEST...

docs.google.com

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Julia M. Rohrer @dingdingpeng.the100.ci · Jul 14

Tomorrow I will talk to an academic publisher regarding the possibility of a book 👀

Any questions I should absolutely ask? I already got e-book pricing on my list; any and all pointers are welcome!

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Sarah Wieten @sarahwieten.bsky.social · Jul 14

This looks interesting and I am sorry to be missing it today:
royalsociety.org/science-even...

Future of Scientific Publishing | Royal Society

A conference on the future of scientific publishing

royalsociety.org

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