My book 𝘛𝘩𝘦 𝘔𝘢𝘬𝘪𝘯𝘨 𝘰𝘧 𝘐𝘯𝘵𝘦𝘳𝘯𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘚𝘵𝘢𝘵𝘶𝘴 is finally out in the world!
📘 academic.oup.com/book/61560
My book 𝘛𝘩𝘦 𝘔𝘢𝘬𝘪𝘯𝘨 𝘰𝘧 𝘐𝘯𝘵𝘦𝘳𝘯𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘚𝘵𝘢𝘵𝘶𝘴 is finally out in the world!
📘 academic.oup.com/book/61560
More details below👇
Organised by CEPR/King's College/EBRD/Sapienza
Keynotes are Paolo Pinotti (Bocconi) and Vicky Fouka (Stanford).
Submit your papers: docs.google.com/forms/d/e/1F...
Deadline 23 Jan.
🤓🔥🍕🍝🍷
More details below👇
"by 2025, Brexit had reduced UK GDP by 6% to 8%, with the impact accumulating gradually over time." 😲
Feel free to contact us (see details at sites.google.com/view/kingsqp...) if you're interested in attending.
Externals welcome. Please get in touch at bouke.klein_teeselink@kcl.ac.uk or teresa.estebancasanelles@kcl.ac.uk.
📅 Full schedule 👇
Feel free to contact us (see details at sites.google.com/view/kingsqp...) if you're interested in attending.
genzplyr is dplyr, but bussin fr fr no cap.
genzplyr is dplyr, but bussin fr fr no cap.
really good news is that there's been an amazing response to the call for papers already; now very excited for this meeting
⬇️ We put together a quick FAQ on Qs that have come up on submitting: epssnet.org/conferences/...
really good news is that there's been an amazing response to the call for papers already; now very excited for this meeting
⬇️ We put together a quick FAQ on Qs that have come up on submitting: epssnet.org/conferences/...
Don't forget to submit your paper or panel proposal to the European Political Science Society @epssnet.bsky.social 2026 conference - just one week to go before the deadline: epssnet.org/belfast-2026...
Don't forget to submit your paper or panel proposal to the European Political Science Society @epssnet.bsky.social 2026 conference - just one week to go before the deadline: epssnet.org/belfast-2026...
This project is one of the most exciting recent developments in data science. The book & #rstats / #python package show how to understand your model *within* its real-world context/use case.
www.routledge.com/Model-to-Mea...
This project is one of the most exciting recent developments in data science. The book & #rstats / #python package show how to understand your model *within* its real-world context/use case.
www.routledge.com/Model-to-Mea...
benansell.substack.com/p/select-and...
benansell.substack.com/p/select-and...
Paper: eddieyang.net/research/llm_annotation.pdf
Paper: eddieyang.net/research/llm_annotation.pdf
Feel free to contact us (see details at sites.google.com/view/kingsqp...) if you're interested in attending.
Externals welcome. Please get in touch at bouke.klein_teeselink@kcl.ac.uk or teresa.estebancasanelles@kcl.ac.uk.
📅 Full schedule 👇
Feel free to contact us (see details at sites.google.com/view/kingsqp...) if you're interested in attending.
We’re inviting submissions for the @politicalnetworks.bsky.social Online Colloquium (2025–26) (w/ @mtp.bsky.social)
🔹 Monthly, 1-hr sessions
🔹 Read-ahead format (no presentations)
🔹 Open to scholars in poli sci & related fields
🔹 Deadline: 17 Oct 2025
Learn more & submit here 👇
We’re inviting submissions for the @politicalnetworks.bsky.social Online Colloquium (2025–26) (w/ @mtp.bsky.social)
🔹 Monthly, 1-hr sessions
🔹 Read-ahead format (no presentations)
🔹 Open to scholars in poli sci & related fields
🔹 Deadline: 17 Oct 2025
Learn more & submit here 👇
Feel free to contact us (see details at sites.google.com/view/kingsqp...) if you're interested in attending.
Externals welcome. Please get in touch at bouke.klein_teeselink@kcl.ac.uk or teresa.estebancasanelles@kcl.ac.uk.
📅 Full schedule 👇
Feel free to contact us (see details at sites.google.com/view/kingsqp...) if you're interested in attending.
www.nber.org/papers/w34274
www.nber.org/papers/w34274
In 2024, $3 Billion was spent on fundraising.
In 2026, fundraising costs are on track to exceed advertising spending for the first time.
In 2024, $3 Billion was spent on fundraising.
In 2026, fundraising costs are on track to exceed advertising spending for the first time.
Benseñor: 470 (*94* per year for the last 5 years!)
Lotufo: 440
Suemoto: 337
Santos: 199
Gouveia: 104
𝐌𝐨𝐝𝐞𝐥 𝐭𝐨 𝐌𝐞𝐚𝐧𝐢𝐧𝐠: 𝐇𝐨𝐰 𝐭𝐨 𝐈𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭 𝐒𝐭𝐚𝐭 & 𝐌𝐋 𝐌𝐨𝐝𝐞𝐥𝐬 𝐢𝐧 #Rstats 𝐚𝐧𝐝 #PyData
The book presents an ultra-simple and powerful workflow to make sense of ± any model you fit
The web version will stay free forever and my proceeds go to charity.
tinyurl.com/4fk56fc8
𝐌𝐨𝐝𝐞𝐥 𝐭𝐨 𝐌𝐞𝐚𝐧𝐢𝐧𝐠: 𝐇𝐨𝐰 𝐭𝐨 𝐈𝐧𝐭𝐞𝐫𝐩𝐫𝐞𝐭 𝐒𝐭𝐚𝐭 & 𝐌𝐋 𝐌𝐨𝐝𝐞𝐥𝐬 𝐢𝐧 #Rstats 𝐚𝐧𝐝 #PyData
The book presents an ultra-simple and powerful workflow to make sense of ± any model you fit
The web version will stay free forever and my proceeds go to charity.
tinyurl.com/4fk56fc8