Personal view but it's not a binary thing; there are incredible people who will commute from Cardiff or Bristol (if they can driveβthe office is a little way from the train station) but ofc the pool of labour in the centre of Manchester, Leeds, Bristol, Cardiff, etc, is a lot bigger.
11.08.2025 09:52 β π 3 π 0 π¬ 1 π 0
"Getting the right skills is the most important part of any endeavour, and where you site your statistical production should reflect this ... A place with a thick labour market for highly educated graduates and post-graduates, but not too high a cost of living, is most likely to deliver this."
11.08.2025 09:09 β π 1 π 0 π¬ 1 π 0
Arthur Turrell
Arthur Turrell is an economic data scientist.
Very much agree with @dianecoyle1859.bsky.social; problems are deeper and structural (my personal view!) Won't surprise anyone that I've been thinking about this a lotβput together a hopeful & forward looking vision for what one could do with a blank slate here: aeturrell.com/blog/posts/f...
11.08.2025 09:07 β π 8 π 1 π¬ 2 π 2
i like to explore the errors and failure cases of LLMs as much as the next guy, but if you're gonna be serious about assessing whether this stuff is useful you really can't ignore that there are a ton of cases where 40-50% as good for 1% of the cost (or even 10-20% with QA) is extremely exciting
08.08.2025 22:45 β π 12 π 1 π¬ 1 π 0
Or any time
07.08.2025 15:55 β π 0 π 0 π¬ 0 π 0
@bestofecontwitter.bsky.social
06.08.2025 12:48 β π 0 π 0 π¬ 0 π 0
I'm looking for good pedagogical materials on causal inference in (observational) longitudinal data (also just 2-4 time points), e.g. interrupted design, pre-post design. I have a feeling economics has written lots to be imported to cogsci but I see only pieces & no overview. @p-hunermund.com ?
04.08.2025 15:55 β π 18 π 11 π¬ 8 π 1
Does anyone know of a blog post somewhere that lays out best practices for ChatGPT prompts having to do with classification of text (in my case, open-ended answers in a survey)? Thanks!
04.08.2025 09:48 β π 8 π 3 π¬ 3 π 0
Currently revamping the default output view for the Gelbach Decomposition. Goal is to help both academics but also data scientists in industry to communicate results easily. Are the column and panel headers immediately clear? Any better way to summarize decomp results?
30.07.2025 20:34 β π 6 π 2 π¬ 2 π 0
Careers
Picture a safer economy for all β then help make it happen
I'll say more about the new gig in due course. In the meantime, if you're a data scientist and you want to make a contribution to the public sector, the Bank is increasingly an exciting and excellent place to do it. Check out jobs here: www.bankofengland.co.uk/careers
29.07.2025 08:06 β π 1 π 0 π¬ 0 π 0
I've been genuinely very lucky to have such a phenomenal team + colleagues, both locally & across the Bank, and we have collectively really pushed forward the way the org does data, data science, & data talent. It's not job done but there's real momentum. Many of our successes have been internal...
29.07.2025 08:06 β π 1 π 0 π¬ 1 π 0
Some personal news!
I am temporarily leaving the Bank of England to go on secondment to No10 Downing Street as an Innovation Fellow. It's been an amazing two-ish years working on the links between the real economy & financial system, & leading data strategy in financial stability strategy & risk.
29.07.2025 08:06 β π 8 π 1 π¬ 1 π 0
We're all Jerome Powell now
24.07.2025 22:25 β π 8 π 2 π¬ 0 π 0
Warming stripes by Ed Hawkins
Source: https://en.wikipedia.org/wiki/Warming_stripes?wprov=sfti1#
Climate spiral by Ed Hawkins
Source: https://en.wikipedia.org/wiki/Climate_spiral?wprov=sfti1#Critical_response
Hey #rstats, #pydata, #julialang & #dataviz folks! π
What are some iconic data visualizations, similar to @edhawkins.orgβs warming strips & climate spiral?
21.07.2025 23:21 β π 58 π 23 π¬ 15 π 2
Senior Manager β Data Science and Engineering Team
The Monetary Policy Transformation DirectorateThe Monetary Policy Transformation (MPT) Directorate was set up to lead a major project, responding to external advice on how the Bank of England can impr
Hi #datascience #pydata world! We have an ad up for a senior data science manager in London or Leeds. You will have a major role in setting how data science is used at one of the UK's most important policy institutions! Β£108,800-Β£122,400.
www.datascientistjobs.co.uk/job/senior-m...
please repost
21.07.2025 09:00 β π 1 π 0 π¬ 0 π 0
My mum always favoured a long interview, sometimes with the offer of a bible to take home thrown in.
20.07.2025 20:51 β π 5 π 1 π¬ 1 π 0
Hi Ellie, fan of the podcast! This tweet really stuck with me and I was wondering if could point me at any of that discussion, if it's available? I'm interested in how EBM understand (or do not understand, in this case) causality / stats.
20.07.2025 15:35 β π 1 π 0 π¬ 0 π 0
My award, engraved on a glass box
Receiving the award
I'm very proud to have won the Royal Statistical Society's award for best statistical commentary by a non-journalist this year π₯Ή
16.07.2025 12:20 β π 360 π 22 π¬ 25 π 4
My home venue, very exciting! 100% of things I ever saw there involved the audience shouting "he's behind you" and I truly hope that your show is no different
15.07.2025 20:31 β π 1 π 0 π¬ 0 π 0
Pyfixest continues to hit it out of the park. Huge congratulations @s3alfisc.bsky.social and team!!
Coding for Economists will be updated with the quantile regression methods in due course.
06.07.2025 10:30 β π 4 π 0 π¬ 0 π 0
Is it a coincidence that this roughly correlates with the rise of the celebrity-authored children's book!? ππ
04.07.2025 09:28 β π 3 π 0 π¬ 0 π 0
Getting Data β Coding for Economists
I have a detailed (Python) example of using the new API here that you could port to R fairly easily using an LLM. aeturrell.github.io/coding-for-e...
01.07.2025 21:53 β π 2 π 2 π¬ 1 π 0
Weather / Meteorology folks -- how might get information on simulated paths of weather / hurricanes? E.g. what is the probability of a place getting rain, a place getting hit by a hurricane, etc.?
Basically what's the place to get the models that make these:
16.06.2025 17:06 β π 3 π 2 π¬ 3 π 0
- Director @adalovelaceinst.bsky.social:ensuring data & AI work for ppl & society
- Stint in government - led #NationalDataStrategy; roles in Cabinet Office, ONS & MHCLG
- Charity roles inc. Samaritans Trustee; staff @ The RSA, Centrepoint, ParkinsonsUK
Academic at King's College London, director of research at the Open Data Institute. Working on the sociotechnicalities of data. Views my own.
Associate Professor of Public Policy at the Ford School (U-M). If you are looking for a book titled "Fair Enough?" here it is π
https://doi.org/10.1017/9781009366038
https://a.co/d/b6yL5d3
Economic columnist at Washington Post | Data aficionado | Email: Heather.long@washpost.com
Biostatistician β’ Associate Prof @ Wake Forest University β’ former postdoc @ Hopkins Biostat β’ PhD @ Vandy Biostat β’ π Casual Inference β’ lucymcgowan.com
independent writer of citationneeded.news and @web3isgoinggreat.com β’ tech researcher and cryptocurrency industry critic β’ software engineer β’ wikipedian
support my work: citationneeded.news/signup
links: mollywhite.net/linktree
Co-founder & editor, Works in Progress. Writer, Scientific Discovery. Podcaster, Hard Drugs. // Previously at Our World in Data.
Newsletter: https://scientificdiscovery.dev
π³οΈβπ
Science writer and author of books including Bright Earth, The Music Instinct, Beyond Weird, How Life Works.
Weβre on a mission to deliver clean fusion energy to the planet fast enough to matter for humanityβs biggest challenges.β‘οΈππ«
PhD Candidate in Statistics, Utrecht University
Creates fake data for a living.
thomvolker.github.io
Posit DS Hangout host & data educator. Data Weasel. Community Builder. Teaches R+Python.
π Heeren == "hair-en" β¨
LinkedIn: https://www.linkedin.com/in/libbyheeren
DS Hangout: https://pos.it/dsh
Economist at DIW Berlin, University of Copenhagen, and Berlin School of Economics
Research on Digitilization, Health Care, and Industrial Organization
https://www.hannesullrich.com
(Mental) health economics
Bio: PostDoc @cinchessen.bsky.social , UDE, previously CHE York. Associated with HEDG, York and RWI Leibniz.
He/him/his.
https://sites.google.com/view/christoph-kronenberg/home
Public figure. Author, composer, keyboardist, university grad. Author of the THE HIDDEN FACE:
https://www.thriftbooks.com/w/the-hidden-face_m-i-verras/39420061/#edition=67723160&idiq=59042592
https://www.amazon.com/Hidden-Face-M-I-Verras/dp/B0CBW5MNC2
The official Bluesky channel of the Board of Governors of the Federal Reserve System.
Privacy Policy: http://federalreserve.gov/privacy.htm
https://www.federalreserve.gov/
Policy thoughts: http://timleunig.substack.com Chief Economist Nesta, Director Econ PublicFirst, Vis Prof LSE Sch Public Policy, Vis Fellow Inst for Govt
github.com/andrewallenbruce
cog psych phd, table displayer, plant enthusiast.
data science tools @posit.co.
senior advisor at CodeForPhilly.
Astrophysicist at the University of Manchester | Studying the first 10% of the Universe's history | JWST/VISTA/MeerKAT | STEM Outreach | Own Opinions
Econ AP at University of Arkansas
https://kylebutts.com/