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Moritz Hennicke

@aaoritz

See you front left in seminar room https://hennicke.science/ he/him

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Latest posts by Moritz Hennicke @aaoritz

After a series of fatal strikes involving civilians in Iraq and Afghanistan, Congress directed the Pentagon to reduce civilian casualties as part of a 2019 law. During the Biden administration, the Defense Department created the Civilian Harm Mitigation and Response initiative.

The civilian mitigation teams – cut by 90% by Hegseth – work with military commanders on target planning, and making sure that targets are actually military sites. The teams help come up with "no strike" lists, including religious and cultural sites and schools

After a series of fatal strikes involving civilians in Iraq and Afghanistan, Congress directed the Pentagon to reduce civilian casualties as part of a 2019 law. During the Biden administration, the Defense Department created the Civilian Harm Mitigation and Response initiative. The civilian mitigation teams – cut by 90% by Hegseth – work with military commanders on target planning, and making sure that targets are actually military sites. The teams help come up with "no strike" lists, including religious and cultural sites and schools

I knew that the Department of War shot a missile into a school & killed 175 civilians, mostly children.

This is learned today:

Secretary of War Hegseth had cut the teams assigned to prevent such tragedies by 90%.
www.npr.org/2026/03/11/n...

12.03.2026 02:05 👍 4002 🔁 2054 💬 130 📌 132
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.

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

01.03.2026 14:48 👍 669 🔁 446 💬 29 📌 118
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Bluesky Map Interactive map of 3.4 million Bluesky users, visualised by their follower pattern.

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

08.02.2026 22:59 👍 7211 🔁 2164 💬 658 📌 4577
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"

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.

03.02.2026 14:56 👍 307 🔁 65 💬 29 📌 38
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📣 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)

26.01.2026 16:05 👍 31 🔁 18 💬 1 📌 2

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.

26.01.2026 06:14 👍 449 🔁 284 💬 12 📌 14
Preview
How to manage a transition? A podcast with Helena Schweiger (Lead Research Economist at EBRD) Who leads firms in former Communist countries today? How are they dealing with the current transition to a green economy? Our podcast explores these questions with Helena Schweiger who is a Lead Res

soundcloud.com/mod-block-dd...

13.01.2026 09:49 👍 1 🔁 0 💬 0 📌 0
Headshot of Helena Schweiger

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

13.01.2026 09:49 👍 5 🔁 1 💬 1 📌 0

if your robustness test doesn't show what breaks your result, it's not a test of robustness

08.01.2026 19:36 👍 15 🔁 3 💬 0 📌 1
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Jürgen Hardt ist ein besonnener Aussenpolitiker. Umso schwerer wiegt dieses Statement.

03.01.2026 14:29 👍 96 🔁 18 💬 21 📌 8

Wauwi! Glückwunsch!

25.11.2025 16:11 👍 1 🔁 0 💬 0 📌 0
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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.

24.10.2025 08:57 👍 2082 🔁 677 💬 107 📌 108
Difference Between EPSS and EPSA: What to Know for 2026 Confused about the difference between EPSS and EPSA? Learn how they differ in governance, structure, and their 2026 conferences.

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...

30.09.2025 14:32 👍 29 🔁 14 💬 0 📌 0
Director of East German privatization agency Birgit Breuel walking next to industrial ruins with colleagues

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

03.10.2025 11:44 👍 4 🔁 0 💬 1 📌 0

Cooler Thread! Kennt ihr eigentlich dieses Papier zu den Langzeitfolgen von @mlubczyk.bsky.social und Maria Waldinger? www.dropbox.com/scl/fi/vi50j...

03.10.2025 09:38 👍 1 🔁 0 💬 0 📌 0
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Data Cleaning IS Analysis, Not Grunt Work Also, most data cleaning articles suck

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

28.09.2025 04:59 👍 47 🔁 11 💬 3 📌 0
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Verkehrssicherheitsexperten sprechen von Verrat: Handelsdeal könnte Europas Straßen für US-Trucks öffnen Ob Tesla Cybertruck oder Ram – riesige US-Pick-ups passen nicht zu europäischen Normen. Doch im neuen Handelsabkommen erklärt sich die EU zum ungehinderten Import bereit. Verkehrssicherheitsexperten s...

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...

22.08.2025 19:40 👍 24 🔁 10 💬 4 📌 1
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„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.

22.07.2025 23:18 👍 26 🔁 2 💬 1 📌 0
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Jesidische Familie aus Brandenburg in den Irak abgeschoben

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...

23.07.2025 10:09 👍 574 🔁 309 💬 45 📌 56
CausalRivers - Scaling up Benchmarking of Causal Discovery for Real-world Time-series
CausalRivers - Scaling up Benchmarking of Causal Discovery for Real-world Time-series YouTube video by Computer Vision Group Jena

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)

21.07.2025 06:33 👍 9 🔁 1 💬 0 📌 1
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{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/

03.07.2025 12:59 👍 285 🔁 67 💬 12 📌 4

Wow! Genießt die Zeit!

24.06.2025 12:14 👍 1 🔁 0 💬 0 📌 0
Bericht, der komplett geschwärzt ist

Bericht, der komplett geschwärzt ist

Transparenz, die

Symbolbild: Seite 47 des Berichts zu Spahns Maskenaffäre (ein Beispiel von vielen)

24.06.2025 12:05 👍 3106 🔁 670 💬 133 📌 66

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! 😅

04.06.2025 19:02 👍 152 🔁 96 💬 11 📌 7

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?

14.03.2025 08:07 👍 192 🔁 40 💬 14 📌 3

Sale of state assets was what created the first generation of Russian oligarchs. They're running plays from a known playbook

05.03.2025 02:04 👍 2033 🔁 752 💬 31 📌 29
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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. 🧵👇

24.02.2025 08:49 👍 323 🔁 156 💬 19 📌 31

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

21.02.2025 21:41 👍 52 🔁 16 💬 1 📌 4
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).

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. 🧵⬇️

20.02.2025 02:18 👍 10676 🔁 4783 💬 252 📌 397

Cool paper from my amazing coauthors and my misspelled doppelgänger! 😃

15.02.2025 17:52 👍 4 🔁 0 💬 0 📌 0