Tobias RΓΌttenauer's Avatar

Tobias RΓΌttenauer

@ruettenauer.bsky.social

Quantitative Social Science at UCL. Climate Change, Environmental + Urban Sociology, Spatial Demography and Methods, with ❀️ for Fixed Effects and 🚴

3,815 Followers  |  1,448 Following  |  102 Posts  |  Joined: 30.09.2023
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Posts by Tobias RΓΌttenauer (@ruettenauer.bsky.social)

Two more days to apply!

03.03.2026 12:24 β€” πŸ‘ 11    πŸ” 13    πŸ’¬ 0    πŸ“Œ 0
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⭐️ @ruettenauer.bsky.social will share his latest insights into migrant dynamics across 30 countries.

⭐️ Meena Khatwa will showcase her impactful project on online eating disorder content, co-produced with diverse stakeholders.

⭐️ Hear from our students what exciting projects they are working on!

27.02.2026 11:48 β€” πŸ‘ 4    πŸ” 2    πŸ’¬ 0    πŸ“Œ 1
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🚨 A defining moment for global health data.

The termination of the #USAID-supported Demographic and Health Survey (DHS) Program has wide-ranging consequences. We reflect on the collapse and argue what should come next in a new PNAS: doi.org/10.1073/pnas.2…

πŸ“Š 9,000+ studies

26.02.2026 14:28 β€” πŸ‘ 49    πŸ” 24    πŸ’¬ 2    πŸ“Œ 3
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Oxford Street pedestrianisation plan gets final official approval City Hall hopes to stop traffic from using the street by September.

Delighted to announce that following the consultation, I'm giving the green light to make Oxford Street traffic-free.

26.02.2026 15:18 β€” πŸ‘ 2879    πŸ” 500    πŸ’¬ 104    πŸ“Œ 196
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Today in our quantitative social science seminar, Benjamin Arold (Cambridge) will tell us what we can learn about worker rights from analysing 30,000 collective bargaining agreements.

www.ucl.ac.uk/ioe/events/2...

25.02.2026 09:40 β€” πŸ‘ 5    πŸ” 3    πŸ’¬ 0    πŸ“Œ 0
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πŸ“£ Join our ERC LEARN Research Team at CRIS, Sciences Po, Paris, to investigate how major disruptive events affect children's educational development. Apply by 12 April:

⭐️Doctoral Researcher / PhD candidate
www.google.com/url?q=https:...

⭐️Postdoctoral Researcher
www.google.com/url?q=https:...

24.02.2026 15:57 β€” πŸ‘ 16    πŸ” 14    πŸ’¬ 0    πŸ“Œ 0
Example for the two staged unsupervised machine learning algorithm using point data as input. Backlayer maps depict Hamburg. The map shows neighborhoods in different sizes and forms, sometimes following administrative borders (black lines) sometimes not. Three differently colored neighborhood types are displayed, each representing a different social group of residents.

Example for the two staged unsupervised machine learning algorithm using point data as input. Backlayer maps depict Hamburg. The map shows neighborhoods in different sizes and forms, sometimes following administrative borders (black lines) sometimes not. Three differently colored neighborhood types are displayed, each representing a different social group of residents.

xample for the two staged unsupervised machine learning algorithm using 500x500m grid cells as input. Backlayer maps depict Hamburg. The map shows large neighborhoods in different sizes and forms, sometimes following administrative borders (black lines) sometimes not. Three differently colored neighborhood types are displayed, each representing a different social group of residents.

xample for the two staged unsupervised machine learning algorithm using 500x500m grid cells as input. Backlayer maps depict Hamburg. The map shows large neighborhoods in different sizes and forms, sometimes following administrative borders (black lines) sometimes not. Three differently colored neighborhood types are displayed, each representing a different social group of residents.

Looking for a measure of #neighborhoods, micro or macro #segregation?

I've got something for you!

My newly published paper in Sociological Methods & Research presents a machine-learning-based algorithm to delineate neighborhoods with grid-cell or point data:
journals.sagepub.com/doi/10.1177/...

24.02.2026 06:29 β€” πŸ‘ 40    πŸ” 13    πŸ’¬ 2    πŸ“Œ 1
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πŸ’ΈπŸš¨I am hiring 2 Postdocs for my ERC-funded project SOCDEBT on #debt dynamics across countries. One position: #SocialStratification + strong quantitative skills. The other: qualitative research and #EconomicSociology. waitkus.github.io/SOCDEBT/ πŸš¨πŸ’Έ

19.02.2026 13:45 β€” πŸ‘ 54    πŸ” 43    πŸ’¬ 0    πŸ“Œ 3
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Empowerment and individualization: online banking and household financial organization Abstract. Bringing economic and family sociology into the digital era, this study examines and highlights the transformative potential of online banking in

🚨 Thrilled to share my new paper with @yueqiansoc.bsky.social just out in @europeansocreview.bsky.social

Bringing economic & family sociology into the digital era, we examine how online banking shapes who holds the purse strings among UK couples: doi.org/10.1093/esr/...

@sriucl.bsky.social

09.02.2026 18:16 β€” πŸ‘ 17    πŸ” 5    πŸ’¬ 2    πŸ“Œ 0

Our first talk is happening tomorrow πŸ‘‡

Join us to uncover how extreme heat is deepening global inequalities in antenatal care, drawing on data from 860,000 births in 52 LMICs. #ClimateHealth #GlobalHealth #CLEAN

26.01.2026 12:30 β€” πŸ‘ 5    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

CRIS at the Sciences Po, Paris is seeking a post-doctoral researcher to join the Research Team led by Prof. Mirna Safi working on β€œThe Discrimination-Inequality Cycle: Bridging Unequal Treatment and Unequal Outcomes across Countries, Regions and Workplaces” Apply:
www.sciencespo.fr/cris/files/J...

17.01.2026 03:19 β€” πŸ‘ 13    πŸ” 15    πŸ’¬ 0    πŸ“Œ 0

In this preprint, we (@ruettenauer.bsky.social, David Kretschmer and I) ask and address two questions: (i) How does immigrant-native #segregation vary across urban areas in Europe? (ii) Which urban area- and country-level characteristics are consistently linked to segregation? Check it out ⬇️⬇️⬇️

12.01.2026 08:39 β€” πŸ‘ 16    πŸ” 5    πŸ’¬ 1    πŸ“Œ 0
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🌍🌱 New #CLEAN 2026 Seminar Series ♻️πŸ”₯πŸ’‘

#SocialScience seminar series with leading researchers to discuss topics ranging from #ClimateJustice and #Adaptation policies to #Energy transitions and #Health impacts of extreme heat 🏜️

πŸ“† #hybrid Get in touch for zoom link

www.ucl.ac.uk/ioe/departme...

07.01.2026 11:29 β€” πŸ‘ 14    πŸ” 6    πŸ’¬ 0    πŸ“Œ 3
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Young adult life courses in the Global South: A comparative framework and research agenda As of 2025, 85% of the world population lives in countries typically associated with the Global South. Fifty percent of the world’s population is unde…

🚨New year, new paper with the fab Anette Fasang, Ignacio Cabib, Adam Cooper &
@robgruijters.bsky.social!

We introduce our SI on 'Young Adult Life Courses in the Global South' & develop a new framework and concepts to advance the field. www.sciencedirect.com/science/arti...

@sriucl.bsky.social

02.01.2026 10:20 β€” πŸ‘ 12    πŸ” 3    πŸ’¬ 1    πŸ“Œ 1
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πŸŽ„ Still looking for a gift for your favourite social scientist?

How about a #preprint with 717 urban areas, 30 countries, and 16,164 models of #Immigrant #Segregation across Europe? Just published with @kasimirdederichs.bsky.social & David Kretschmer πŸŽ…

🎁 Wrapped up here: arxiv.org/abs/2512.17037

22.12.2025 10:26 β€” πŸ‘ 68    πŸ” 21    πŸ’¬ 1    πŸ“Œ 5
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NEW: How did the introduction of the Ultra-Low Emissions Zone (ULEZ) change London’s geography of work?

In a new @theifs.bsky.social paper, @joelkariel.bsky.social, Fizza Jabbar and I have taken a look – and it turns out people adapt in surprising ways. A thread.

1/

17.12.2025 17:22 β€” πŸ‘ 30    πŸ” 17    πŸ’¬ 1    πŸ“Œ 3
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Today we’re celebrating 10 years of SRI! This afternoon we’ll come together to share reflections on the past 10 years, showcase our strengths in research and education, and look to the future for our Institute πŸŽ‰πŸŽˆπŸ₯³

17.12.2025 08:53 β€” πŸ‘ 17    πŸ” 5    πŸ’¬ 0    πŸ“Œ 1
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INAS Conference 2026 - Nuffield College Oxford University

πŸ“’ Analytical sociology is coming home!

Call 4 INAS26 is open

🌍 1-3Jul26 @nuffieldcollege.bsky.social and @sociologyoxford.bsky.social (β˜”)

☒️ Deadline: 1Feb26

🦹 Organisers: @aksoyundan.bsky.social , @kasimirdederichs.bsky.social, D Kretschmer, @awaldendorf.bsky.social

Info: tinyurl.com/yc2tusjx

12.12.2025 17:14 β€” πŸ‘ 44    πŸ” 31    πŸ’¬ 2    πŸ“Œ 4
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EA to spend millions clearing Oxfordshire illegal waste mountain in break with policy Announcement draws anger from Labour MP over refusal to remove tonnes of rubbish dumped near school in Wigan

Turns out the fastest way to get rid of anything in the UK is to call it a fire hazard πŸ”₯

Anyone tried this on political parties yet? #FireHazardPolitics

www.theguardian.com/environment/...

12.12.2025 12:44 β€” πŸ‘ 3    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0

This workshop is tomorrow, don't miss your chance to register!
Details: bit.ly/3wBeY4S
Please share!
#AcademicSky #EconSky #RStats

10.12.2025 12:52 β€” πŸ‘ 8    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

#NoWords 😱😱πŸ”₯🌎πŸ”₯

10.12.2025 13:10 β€” πŸ‘ 15    πŸ” 5    πŸ’¬ 1    πŸ“Œ 0

Thanks a lot for sharing! And nice to see this published:)

24.11.2025 08:56 β€” πŸ‘ 0    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
Visas are a key tool for states to regulate incoming mobility from abroad, which can have ramifications for the
establishment and perpetuation of global inequalities. In this article, we systematically analyze visa appointment
wait times in German embassies and consulates worldwide. Using computational methods, we collectβ€”and
publishβ€”fine-grained longitudinal data on the closest available appointment dates for various visa types,
covering a total of 16,182 visa appointment requests. Our analysis reveals strong and systematic variance: the
poorer the country a diplomatic mission is based in, the longer the wait time and the lower the chances of finding
an available appointment (which ranges from almost 0 to 100 percent). We also argue that Germany’s system is
quite opaque compared to other established immigration countries such as the U.S. These core findings raise
important questions in light of current debates about global justice, legal pathways to migration, and efforts to
attract foreign talent.

Visas are a key tool for states to regulate incoming mobility from abroad, which can have ramifications for the establishment and perpetuation of global inequalities. In this article, we systematically analyze visa appointment wait times in German embassies and consulates worldwide. Using computational methods, we collectβ€”and publishβ€”fine-grained longitudinal data on the closest available appointment dates for various visa types, covering a total of 16,182 visa appointment requests. Our analysis reveals strong and systematic variance: the poorer the country a diplomatic mission is based in, the longer the wait time and the lower the chances of finding an available appointment (which ranges from almost 0 to 100 percent). We also argue that Germany’s system is quite opaque compared to other established immigration countries such as the U.S. These core findings raise important questions in light of current debates about global justice, legal pathways to migration, and efforts to attract foreign talent.

Graph that shows that 44.1 percent of requests did not lead to an appointment that could be selected. For the 55.9 percent where an appointment was available the distribution of wait times follows a steep curve with short wait times in many cases and a long tail of few cases with very long wait times of up to 98 days.

Graph that shows that 44.1 percent of requests did not lead to an appointment that could be selected. For the 55.9 percent where an appointment was available the distribution of wait times follows a steep curve with short wait times in many cases and a long tail of few cases with very long wait times of up to 98 days.

The average wait times and chances to find an appointment varied a lot between Germany's diplomatic missions. The latter range from almost 0 to 100 percent.

The average wait times and chances to find an appointment varied a lot between Germany's diplomatic missions. The latter range from almost 0 to 100 percent.

This variance is not random. Rather, economic wellbeing (GDP per capita) is a key predictor of wait times and chances of finding  an appointment. The poorer the country a German embassy/consulate is based in, the longer the wait time and the lower the chances of finding an appointment.

This variance is not random. Rather, economic wellbeing (GDP per capita) is a key predictor of wait times and chances of finding an appointment. The poorer the country a German embassy/consulate is based in, the longer the wait time and the lower the chances of finding an appointment.

New #openaccess study

We made >16,000 visa appointment requests at German embassies and consulates worldwide

Key finding: The poorer the country, the longer the wait time and the lower the chance to get an appointment.

"A time panelty for the Global South?"
shorturl.at/ZiAFb

19.11.2025 10:30 β€” πŸ‘ 46    πŸ” 20    πŸ’¬ 3    πŸ“Œ 3
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Billions of regressions β‰  robustness.

My new PNAS Letter shows how unjustified models can drown out justified ones β€” and why thoughtful model selection mattersπŸ‘‡
www.pnas.org/doi/10.1073/...

11.11.2025 16:56 β€” πŸ‘ 59    πŸ” 19    πŸ’¬ 3    πŸ“Œ 1

We conducted a systematic review of the effect of in-utero exposure to ambient air pollution on the sex ratio at birth. Evidence is scarce and we need more studies employing rigorous causal inference designs. Work led by Ursula Gazeley @oxforddemsci.bsky.social, preprint available below.

10.11.2025 11:09 β€” πŸ‘ 12    πŸ” 5    πŸ’¬ 0    πŸ“Œ 0
Stellenausschreibungen an der UniversitΓ€t Heidelberg Infosystem der ZUV

🚨We’re hiring! The Max Weber Institute in beautiful Heidelberg seeks a W3 Professor of Sociology (focus: sociological theory) who connects well with the department’s focus on comparative sociology adb.zuv.uni-heidelberg.de/info/INFO_FD... Happy to answer any questions! #Sociology #socsky

31.10.2025 13:48 β€” πŸ‘ 55    πŸ” 45    πŸ’¬ 2    πŸ“Œ 1
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Fertility, birth, reproduction: Connecting formal demographic frameworks The conventional framework of fertility research conceptualizes childbirth from the mother’s perspective. From her perspective, birth is an uncertain and potentially recurring event. In contrast, t...

✍️ Just out: Annette Baudisch & I delve into the formal demography of fertility, birth, & reproduction timing. πŸ‘Ά We use methods from mortality research to summarize when in the parental life course children are born. πŸ“† 1/n
doi.org/10.1080/0032...
@sdu.dk @oxforddemsci.bsky.social @mpidr.bsky.social

07.10.2025 12:51 β€” πŸ‘ 52    πŸ” 15    πŸ’¬ 1    πŸ“Œ 2

PODCAST: Does pollution affect immigrant populations disproportionately?

www.understandingsociety.ac.uk/podcasts/bre...

Chris Coates looks at air pollution and in particular how common is it for immigrant populations to live in more polluted areas. With @ruettenauer.bsky.social and L’myah Sherae

16.10.2025 07:53 β€” πŸ‘ 4    πŸ” 1    πŸ’¬ 0    πŸ“Œ 0

Does #AirPollution 🏭 affect immigrant populations more than others?

πŸŽ™οΈI joined @usociety.bsky.social with L’myah Sherae to discuss #EnvironmentalJustice and the unequal exposure of immigrant minorities to air pollution in England and Germany.

Listen to the podcast below πŸ‘‡

15.10.2025 15:24 β€” πŸ‘ 4    πŸ” 0    πŸ’¬ 0    πŸ“Œ 0
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New article out in @sociusjournal.bsky.social.

It shows how closely linked motherhood penalties πŸ€°πŸ“‰ and gender inequalities πŸ‘¨β€πŸ’ΌπŸ’°πŸ‘©β€πŸ’Ό are by studying many local labour markets.

Thread πŸ‘‡

journals.sagepub.com/doi/10.1177/...

13.10.2025 16:37 β€” πŸ‘ 105    πŸ” 39    πŸ’¬ 3    πŸ“Œ 3