Valentin Ștefan

@veralis.bsky.social

Computer vision for pollinators 🌻🐝 & nature. Sometimes, for me, some cats make more sense than some people 🐾 💻 github.com/valentinitnelav 📍 @idiv-research.bsky.social 🔗 linkedin.com/in/valentin-stefan/ 🔗 scholar.google.com/citations?user=8HlgXLYAAAAJ&hl=en

The IPBES Business and Biodiversity Assessment Report Summary for Policymakers is available now! 🏡 Explore this first of it’s kind report highlighting methods and actions to measure and respond to business impacts and dependencies on nature.🌍 🧪 https://ipbes.canto.de/b/JTB1U

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Too many mediocre men talk over capable women. Study of problem-solving teams: Men dominate the conversation, taking 50% more turns and saying 69% more than women. Men with low skill speak more than women with high skill. It's long past time to value competence over confidence.

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Our latest research explores how YOLO object detectors, trained on citizen science images, perform on unseen time-lapse images of pollinators captured with a fixed smartphone setup. While successful for larger pollinators, detecting smaller or blurrier flower visitors remains a challenge.

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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. 🧵⬇️

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).