@ariray.bsky.social
Senior Researcher (SNSF Ambizione) at University of Geneva | Inequality, Political Representation, Redistributive Politics | She/Her | www.ariray.com
🎓 Would you like to be a Postdoc at an American university on a research grant that won't be canceled?
📍 Join me at Franklin University Switzerland!
🧠 4-year fully-funded position in my SNF project DIVIDE
🔬 ≥80% working time on research
💰 ≈90k CHF annually
👉 Check: www.linkedin.com/jobs/view/42...
If you presented cool work at an APSA class & inequality panel last year, make sure to apply for the best paper prize! connect.apsanet.org/s45/awards/
Deadline: 1 April (...but we want a conference version of your paper, so why wait..?)
Looking forward to reading all your 🔥 work!
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 — 👍 10689 🔁 4794 💬 253 📌 397🚨 Job Alert! 🚨
I’m looking for a postdoc to join my Emmy Noether project on the New Climate Divide! 🌍
🔍 It is a 3-year position with a likely extension for another 3 years & no teaching obligations
📄 Check out the job call: uni-heidelberg.de/md/politik/p...
Thanks for sharing! 🤝
New paper in @apsrjournal.bsky.social with @andreasbeerli.bsky.social, Dominik Hangartner, and Dalston Ward about #immigration and voting for the #FarRight in #Switzerland
26.11.2024 16:11 — 👍 138 🔁 56 💬 9 📌 5
British Journal of Political Science open access graphic
#OpenAccess -
Compensation and Tax Fairness: Evidence From Four Countries - cup.org/3TlcUux
- Mariana Alvarado
#FirstView
