A line graph showing NSF grant awards made through 2/27/26 for fiscal year 2026 compared with grant awards for fiscal years 2021-2025.
NSF Update (Awards through 2/27/26)
Directorates to follow
1/10
I made a map of 3.4 million Bluesky users - see if you can find yourself!
bluesky-map.theo.io
I've seen some similar projects, but IMO this seems to better capture some of the fine-grained detail
Screen shot of a youtube video titled "AI.FILL Function Explained: 10X Productivity in Excel with AI" with the caption "Let ChatGPT fill your missing data"
Don't you f**king dare.
📣 Come join a top-5 strategy department in Europe and work with me on an exciting topic at the intersection of causal AI and strategy 🤖📈
I'm recruiting a PhD student as part of my Sapere Aude Research Leader Grant from the Independent Research Fund Denmark. (1/3)
Yet more evidence that the crucial Atlantic overturning circulation #AMOC is weakening.
Bad news for our climate future.
More reason to finally get serious about ending fossil fuel use.
As fast as we can.
Headshot of Helena Schweiger
The fall of the Iron Curtain created a new class of managers in former Communist countries.
How did these managers navigate the shift to capitalism? How are they tackling the move toward a greener economy today?🌳
Check out our podcast with @helenaschweiger.bsky.social
👇 Link below 👇
#econsky
if your robustness test doesn't show what breaks your result, it's not a test of robustness
Jürgen Hardt ist ein besonnener Aussenpolitiker. Umso schwerer wiegt dieses Statement.
Wauwi! Glückwunsch!
Überraschend, dass das ZDF-Politbarometer diese Umfrage so verzerrt darstellt: Statt nach der Originalaussage von Merz zu fragen, die tagelang diskutiert wurde, wird in der Umfrage seine späte Rechtfertigung ergänzt. In der Grafik wird das aber gar nicht erwähnt. So geht Framing.
What's the difference between @epssnet.bsky.social and the "old" EPSA, and why you should come to our conference in Belfast in June 2026: epssnet.org/uncategorize...
Director of East German privatization agency Birgit Breuel walking next to industrial ruins with colleagues
Happy German Unity Day! Excited to start my Marie-Sklodowska Curie Fellowship at @maastrichtu.bsky.social this week on how German bureaucrats 👨💼👩💼dealt with corporate interest groups during the remaking of the East German economy following fall of the Berlin 🧱.
#Wiedervereinigung #econsky #polsky
Cooler Thread! Kennt ihr eigentlich dieses Papier zu den Langzeitfolgen von @mlubczyk.bsky.social und Maria Waldinger? www.dropbox.com/scl/fi/vi50j...
I got introduced to @randyau.com's 'Data Cleaning IS Analysis, Not Grunt Work' post during the #dataBS Conf this week: www.counting-stuff.com/data-cleanin... . I just finished--it was a great read.
Here are some quotes and thoughts I'm walking away with 👇
1/9 #RStats
Type approval for passenger cars Trade deal could open European roads to US trucks.
Tesla Cybertruck or the Ram, huge US pick-up trucks do not meet European standards. But in the new trade agreement, the EU has declared itself willing to allow unrestricted imports.
www.spiegel.de/auto/tesla-c...
„Made for Germany“ beim Kanzler in Berlin:
Wenn man auf die Hälfte der Gesellschaft verzichtet - mit ihren Ideen, Innovationen und Geschäftsmodellen, dann muss man sich auch nicht wundern, wenn nicht wirklich viel vorangeht.
Wahnsinn! RBB meldet: "Eine jesidische Familie" ist gestern "in den #Irak abgeschoben worden. Die Familie mit vier [..] Kindern hatte vor dem Verwaltungsgericht [..] gegen ihren abgelehnten Asylbescheid geklagt" und am Tag der Abschiebung "Recht bekommen." 1/x www.tagesschau.de/inland/regio...
This really sets the bar high for promo videos of new packages and datasets 😂 www.youtube.com/watch?v=3O98...
(h/t @alxndrmlk.bsky.social)
{tinytable} is a dead simple, ultra-flexible, and dependency-free #Rstats 📦 to turn data frames into beautiful tables: html, word, pdf, latex, typst, markdown, etc.
v0.10.0 has cool new features and important bug fixes. Check out the detailed tutorials at:
vincentarelbundock.github.io/tinytable/
Wow! Genießt die Zeit!
Bericht, der komplett geschwärzt ist
Transparenz, die
Symbolbild: Seite 47 des Berichts zu Spahns Maskenaffäre (ein Beispiel von vielen)
Starting to look like I might not be able to work at Harvard anymore due to recent funding cuts. If you know of any open statistical consulting positions that support remote work or are NYC-based, please reach out! 😅
Just ashamed of European academic institutions reacting to the authoritarian clampdown against our US colleagues with "look, we have nice jobs here". Do you think this is the kind of solidarity needed from us? What are you actually doing to strengthen academic freedom and to help those affected?
Sale of state assets was what created the first generation of Russian oligarchs. They're running plays from a known playbook
Deutschland hat gewählt, und die AfD gilt als die große Siegerin. Wie lässt sich ihr Ergebnis einordnen, und welche geografischen Merkmale prägen ihre Unterstützung? @hudde.bsky.social und ich haben das AfD-Zweitstimmenergebnis in den 299 Bundestagswahlkreisen ausgewertet. Ein Thread. 🧵👇
Zwei Fragen stehen aktuell im Zentrum der Debatte:
Kann Europa die Ukraine aus eigener Kraft unterstützen, wenn die USA ausfallen?
Kann sich Europa aus eigener Kraft, also ohne die USA, verteidigen und Russland glaubhaft abschrecken?
Die Antwort ist zweimal ja. Warum?
1/N
Scatterplot titled “Empirical Evidence of Ideological Targeting in Federal Layoffs: Agencies seen as liberal are significantly more likely to face DOGE layoffs.” • The x-axis represents Perceived Ideological Leaning of federal agencies, ranging from -2 (Most Liberal) to +2 (Most Conservative), based on survey responses from over 1,500 federal executives. • The y-axis shows Agency Size (Number of Staff) on a logarithmic scale from 1,000 to 1,000,000. Each point represents a federal agency: • Red dots indicate agencies that experienced DOGE layoffs. • Gray dots indicate agencies with no layoffs. Key Observations: • Liberal-leaning agencies (left side of the plot) are disproportionately represented among red dots, indicating higher layoff rates. • Notable targeted agencies include: • HHS (Health & Human Services) • EPA (Environmental Protection Agency) • NIH (National Institutes of Health) • CFPB (Consumer Financial Protection Bureau) • Dept. of Education • USAID (U.S. Agency for International Development) • The National Nuclear Security Administration (DOE), despite its conservative leaning (+1 on the scale), is an exception among targeted agencies. • A notable outlier: the Department of Veterans Affairs (moderately conservative) also faced layoffs despite its size. Takeaway: The figure visually demonstrates that DOGE layoffs disproportionately targeted liberal-leaning agencies, supporting claims of ideological bias. The pattern reveals that layoffs were not driven by agency size or budget alone but were strongly associated with perceived ideology. Source: Richardson, Clinton, & Lewis (2018). Elite Perceptions of Agency Ideology and Workforce Skill. The Journal of Politics, 80(1).
The DOGE firings have nothing to do with “efficiency” or “cutting waste.” They’re a direct push to weaken federal agencies perceived as liberal. This was evident from the start, and now the data confirms it: targeted agencies overwhelmingly those seen as more left-leaning. 🧵⬇️
Cool paper from my amazing coauthors and my misspelled doppelgänger! 😃
Just published in @jpube.bsky.social:
"Neighborhoods, Perceived Inequality, and Preferences for Redistribution: Evidence from Barcelona"
By @gerard-domenech.bsky.social
