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Ari Ray

@ariray

Senior Researcher (SNSF Ambizione) at University of Geneva | Inequality, Political Representation, Redistributive Politics | She/Her | www.ariray.com

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Latest posts by Ari Ray @ariray

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Franklin University Switzerland hiring Post-doctoral Researcher in Sorengo, Ticino, Switzerland | LinkedIn Posted 7:05:23 AM. Franklin University Switzerland…See this and similar jobs on LinkedIn.

πŸŽ“ Would you like to be a Postdoc at an American university on a research grant that won't be canceled?
πŸ“ Join me at Franklin University Switzerland!
🧠 4-year fully-funded position in my SNF project DIVIDE
πŸ”¬ β‰₯80% working time on research
πŸ’° β‰ˆ90k CHF annually
πŸ‘‰ Check: www.linkedin.com/jobs/view/42...

06.05.2025 07:03 πŸ‘ 13 πŸ” 10 πŸ’¬ 0 πŸ“Œ 4
Awards

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 πŸ”₯ work!

20.02.2025 14:25 πŸ‘ 3 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
Scatterplot titled β€œEmpirical Evidence of Ideological Targeting in Federal Layoffs: Agencies seen as liberal are significantly more likely to face DOGE layoffs.”
	β€’	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.
	β€’	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:
	β€’	Red dots indicate agencies that experienced DOGE layoffs.
	β€’	Gray dots indicate agencies with no layoffs.

Key Observations:
	β€’	Liberal-leaning agencies (left side of the plot) are disproportionately represented among red dots, indicating higher layoff rates.
	β€’	Notable targeted agencies include:
	β€’	HHS (Health & Human Services)
	β€’	EPA (Environmental Protection Agency)
	β€’	NIH (National Institutes of Health)
	β€’	CFPB (Consumer Financial Protection Bureau)
	β€’	Dept. of Education
	β€’	USAID (U.S. Agency for International Development)
	β€’	The National Nuclear Security Administration (DOE), despite its conservative leaning (+1 on the scale), is an exception among targeted agencies.
	β€’	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 β€œEmpirical Evidence of Ideological Targeting in Federal Layoffs: Agencies seen as liberal are significantly more likely to face DOGE layoffs.” β€’ 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. β€’ 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: β€’ Red dots indicate agencies that experienced DOGE layoffs. β€’ Gray dots indicate agencies with no layoffs. Key Observations: β€’ Liberal-leaning agencies (left side of the plot) are disproportionately represented among red dots, indicating higher layoff rates. β€’ Notable targeted agencies include: β€’ HHS (Health & Human Services) β€’ EPA (Environmental Protection Agency) β€’ NIH (National Institutes of Health) β€’ CFPB (Consumer Financial Protection Bureau) β€’ Dept. of Education β€’ USAID (U.S. Agency for International Development) β€’ The National Nuclear Security Administration (DOE), despite its conservative leaning (+1 on the scale), is an exception among targeted agencies. β€’ 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 β€œefficiency” or β€œcutting 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. πŸ§΅β¬‡οΈ

20.02.2025 02:18 πŸ‘ 10677 πŸ” 4784 πŸ’¬ 252 πŸ“Œ 397

🚨 Job Alert! 🚨

I’m looking for a postdoc to join my Emmy Noether project on the New Climate Divide! 🌍

πŸ” It is a 3-year position with a likely extension for another 3 years & no teaching obligations

πŸ“„ Check out the job call: uni-heidelberg.de/md/politik/p...

Thanks for sharing! 🀝

15.01.2025 12:37 πŸ‘ 112 πŸ” 110 πŸ’¬ 3 πŸ“Œ 2
Post image

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 πŸ‘ 138 πŸ” 56 πŸ’¬ 9 πŸ“Œ 5
British Journal of Political Science open access graphic

British Journal of Political Science open access graphic

#OpenAccess -

Compensation and Tax Fairness: Evidence From Four Countries - cup.org/3TlcUux

- Mariana Alvarado

#FirstView

04.03.2024 16:05 πŸ‘ 1 πŸ” 2 πŸ’¬ 0 πŸ“Œ 0