Post45 Data Collective

Are you a grad student working on post-1945 culture? Could your research benefit from incorporating some data, even minimally? Want feedback from journal editors?

This Post45 Data Collective virtual workshop may be for you!

Applications are due DECEMBER 1: data.post45.org/news/grad-wo...

The Post45 Data Collective invites graduate students in the humanities or adjacent fields to explore cultural data reflexively and collaboratively in a mini-workshop hosted virtually on Friday, March 13. Details here: data.post45.org/news/grad-wo...

Back again with the Selected British Literary Prizes dataset for #TidyTuesday. It was really nice to see LGBTQ+ data included🏳️‍🌈. I also had a look at ethnic diversity across prize institutions and winner vs. shortlist % for nominees from the top 15 unis.
lewis-ward.github.io/tidytuesday/...

A heatmap showing gender and ethnic representation in UK literary prizes, split into two panels for shortlisted authors and winners. The visualization displays counts across ethnicity categories (African, Asian, Black British, Caribbean, Irish, Jewish, Non-UK White, Non-White American, and White British) on the y-axis and gender categories (Man, Non-binary, Transman, and Woman) on the x-axis. Each cell shows the count with white text on a colored background, where darker colors indicate higher counts. White British men show the highest counts in both panels (120 shortlisted, 149 winners), followed by White British women (123 shortlisted, 105 winners). Non-UK White authors also show substantial representation (39 men and 87 women shortlisted; 40 men and 32 women winners). Most other ethnic groups show single-digit counts, with several cells having zero representation. The data reveals that White British authors increase from 46% of shortlisted to 61% of winners, while women decrease from 54% of shortlisted to 43% of winners.

I created a heatmap for this week's #TidyTuesday showing UK literary prize demographics with data from @post45data.bsky.social. White British authors account for 61% of winners vs. 46% shortlisted. Men win 56% vs. 46% shortlisted.

Code: github.com/gkaramanis/t...

#RStats #dataviz

This week's #TidyTuesday data was interesting. I decided to look into the Costa Book Awards and the gender distribution of their winners.

Data: github.com/stats33100/t...

Looked at the percentage of Oxbridge educated people who have won various British Literary Prizes for #TidyTuesday. I used ggbrick and, as the bricks of look like books, tried to make it look like they were in bookshelves with meh results.

Code here: tinyurl.com/bddsuuc3

#rstats | #dataviz

TWO great opportunities for graduate students in post45 literary studies in 2026! The Post45 Graduate Symposium @ Duke and @post45data.bsky.social’s virtual workshop for research with their data sets.

Excited to get to sit in on this workshop! Hopefully, @post45.bsky.social will get the opportunity to publish some articles that emerge from this P45DC event 🤩

We're excited to host a virtual workshop where graduate students can present work-in-progress that engages with data from the Post45 Data Collective in some way.

Editors from the P45DC, Public Books, Post45, and the 19th Century DC will be there to offer feedback.

Proposals are due December 1!

Catching up with hashtag#TidyTuesday.
week 39 - Crane Observations at Lake Hornborgasjön, Sweden (1994–2024)
week 43 - Selected British Literary Prizes (1990-2022)
Both charts created in Observable
Notebooks: observablehq.com/user/@deepal...
#DataViz #JavaScript #Figma

This week's #TidyTuesday is all about who has won or been shortlisted for a British literary prize 📖

I focused on the gender balance of authors awarded prizes for fiction 📊 The changing names of awards made the data wrangling a little bit more tricky!

#RStats #ggplot2 #DataViz

Abstract submission form QR code for the Post45 graduate symposium at Duke, February 20-21, 2026. The form is also accessible at https://tinyurl.com/2e2dr4wv.

The 11th annual Post45 Graduate Symposium will be hosted by Duke University's Department of English, February 20-21, 2026! Check out the CFP (post45.org/graduate/202...) and please share with anyone who might be interested.

Abstracts are due November 14.

oh look the best graduate conference is back 👀

CFP: The Data of Post45 Literature and Culture (Online Graduate Workshop) How has encroaching climate disaster impacted how the future is imagined in science fiction novels? What can a century of NYT bestsellers lists tell us about trends in mainstream publishing? And how c...

DEAR GRAD STUDENTS,

This March @post45data.bsky.social will be holding a free, online mini-workshop for grads working in the fields of contemporary literature and culture.

More info / abstract submission here: docs.google.com/forms/d/e/1F...

1/4

Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.

TidyTuesday is a weekly social data project. All are welcome to participate! Please remember to share the code used to generate your results! TidyTuesday is organized by the Data Science Learning Community. Join our Slack for free online help with R and other data-related topics, or to participate in a data-related book club! How to Participate Data is posted to social media every Monday morning. Follow the instructions in the new post for how to download the data. Explore the data, watching out for interesting relationships. We would like to emphasize that you should not draw conclusions about causation in the data. Create a visualization, a model, a shiny app, or some other piece of data-science-related output, using R or another programming language. Share your output and the code used to generate it on social media with the #TidyTuesday hashtag.

This horizontal bar chart shows gender distribution of winners across British literary awards. Each bar displays the percentage and count of women (blue), men (green), and non-binary (yellow) winners. The Women's Prize for Fiction is 100% women by design. Other awards show varying gender representation, with women most represented in children's literature (Costa Children's Book Award at 71%) and poetry (Ted Hughes Award at 50%). Most other prizes show male majorities, ranging from slight (Costa awards around 52% men) to substantial (BSFA Award at 79% men). The data reveals significant gender imbalances across most literary prizes, with men winning the majority of awards except in women-specific and children's categories.

@dslc.io welcomes you to week 43 of #TidyTuesday! We're exploring Selected British Literary Prizes (1990-2022)!

📁 https://tidytues.day/2025/2025-10-28
🗞️ https://theconversation.com/why-we-still-need-a-womens-prize-for-fiction-257494

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

For highest degree, I believe none means no college degree (for example, Patricia Lockwood and Jonathan Lethem do not have college degrees.) But you could also reach out and talk to the authors of the dataset.

Selected British Literary Prizes (1990-2022) – Post45 Data Collective The Selected British Literary Prizes (SBLP) dataset contains information on nine major literary prizes in the U.K. from 1990 to 2022 and demographic information on 682 prize winners and shortlisted au...

Check out the data here: data.post45.org/posts/britis...

So cool that the British Literary Prize dataset is the focus of this week’s #TidyTuesday — a weekly community project where people visualize and explore data.

This shelf viz is fantastic! Looking forward to seeing more explorations throughout the week.

TidyTuesday: github.com/rfordatascie...

A two-panel visualization analyzing gender equity in British literary prizes from 1990 to 2022. The top panel shows a line chart of women's share of winners, which increased from 35% to 50% and showed significant year-to-year variation. The bottom panel displays a horizontal pyramid chart comparing 13 major prizes, revealing that only four achieved gender balance (40-60% women). Seven prizes remain male-dominant, and two are female-dominant, showing persistent disparities despite overall progress.

📊 #TidyTuesday – 2025 W43 | Selected British Literary Prizes (1990-2022)
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🔗: stevenponce.netlify.app/data_visuali...
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#rstats | #r4ds | #dataviz | #ggplot2

A plot with the title "British Literary Prizes (1991-2022): Proportion of women & non-binary authors among literary prize recipients over time". The plot is designed to resemble a bookcase, with each 5-year time period from 1991 to 2022 featured as a single shelf, and books representing individual prize recipients. Women and non-binary winners are color coded pink-ish and light blue-ish, respectively. Women and non-binary authors were in the minority until 2010–2014 and have constituted about half of the winners since then. Data: Post45 Data Collective via TidyTuesday; Packages: {tidyverse, marquee}; Visualization: C. Börstell.

Friday night early #TidyTuesday of British Literary Prizes.

Wanted it as a bookshelf, made it into a bookshelf 📚

Code: github.com/borstell/tid...

#R4DS #DataViz

Time Horizons of Futuristic Fiction – Post45 Data Collective This dataset contains metadata for 2.5k English-language narrative works set in the future, each marked with the year it was released and the year it takes place.

This is truly marvellous. //
Time Horizons of Futuristic Fiction – Post45 Data Collective data.post45.org/posts/futuri...

#publishing #xl8 #translation

I’m very excited to share this. My first time co-writing with a student who won a year-long fellowship to help compile the data. Many thanks owed to those who read, edited, and supported along the way. Please share widely!!

How Translations Sell: Three U.S. Eras of International Bestsellers - Public Books A translation renaissance in US publishing just ended. And you probably missed it.

Big essay out by @sdileonardi.bsky.social in @publicbooks.bsky.social today, drawing on 100 years of translations and bestseller data to show that the US has seen three waves of translation: European; Latin American Boom; Nordic Noir. And what this means for us.
www.publicbooks.org/how-translat...

Dataset with book bestseller info for New Zealand Market, 2019-2022

looking for some fun literary datasets for the upcoming semester? check these out!

This is such a wonderful resource from Long Le-Khac and the @post45data.bsky.social: The Canon of Asian American Literature.

The Canon of Asian American Literature – Post45 Data Collective This dataset traces the Asian American literary canon through nearly 1,900 scholarly citations from 1971 to 2023, capturing which authors and texts have shaped the field over time.

"Representing the canon that scholars of Asian American literature have built, it is the most expansive dataset to date on Asian American literature."

Data and essay: doi.org/10.18737/092...

This resource maps the growing fields of Asian American literature & scholarship since the 1970s.

It includes more than 700 scholarly publications, plus every work cited in them—books, film, TV, video games, etc—and detailed demographic information for their authors.

Explore, teach, & build on it!

Yes! And TV shows and even some video games 👾