Two more days to apply!
03.03.2026 12:24 β π 11 π 13 π¬ 0 π 0Two more days to apply!
03.03.2026 12:24 β π 11 π 13 π¬ 0 π 0
βοΈ @ruettenauer.bsky.social will share his latest insights into migrant dynamics across 30 countries.
βοΈ Meena Khatwa will showcase her impactful project on online eating disorder content, co-produced with diverse stakeholders.
βοΈ Hear from our students what exciting projects they are working on!
π¨ 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.2β¦
π 9,000+ studies
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 π 2879 π 500 π¬ 104 π 196
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...
π£ 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:
βοΈDoctoral Researcher / PhD candidate
www.google.com/url?q=https:...
βοΈPostdoctoral Researcher
www.google.com/url?q=https:...
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.
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/...
πΈπ¨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/ π¨πΈ
19.02.2026 13:45 β π 54 π 43 π¬ 0 π 3
π¨ 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
Our first talk is happening tomorrow π
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
CRIS at the Sciences Po, Paris is seeking a post-doctoral researcher to join the Research Team led by Prof. Mirna Safi working on βThe Discrimination-Inequality Cycle: Bridging Unequal Treatment and Unequal Outcomes across Countries, Regions and Workplacesβ Apply:
www.sciencespo.fr/cris/files/J...
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 β¬οΈβ¬οΈβ¬οΈ
12.01.2026 08:39 β π 16 π 5 π¬ 1 π 0
ππ± New #CLEAN 2026 Seminar Series β»οΈπ₯π‘
#SocialScience seminar series with leading researchers to discuss topics ranging from #ClimateJustice and #Adaptation policies to #Energy transitions and #Health impacts of extreme heat ποΈ
π #hybrid Get in touch for zoom link
www.ucl.ac.uk/ioe/departme...
π¨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
π 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 π
π Wrapped up here: arxiv.org/abs/2512.17037
NEW: How did the introduction of the Ultra-Low Emissions Zone (ULEZ) change Londonβs geography of work?
In a new @theifs.bsky.social paper, @joelkariel.bsky.social, Fizza Jabbar and I have taken a look β and it turns out people adapt in surprising ways. A thread.
1/
Today weβre celebrating 10 years of SRI! This afternoon weβll 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 πππ₯³
17.12.2025 08:53 β π 17 π 5 π¬ 0 π 1
π’ Analytical sociology is coming home!
Call 4 INAS26 is open
π 1-3Jul26 @nuffieldcollege.bsky.social and @sociologyoxford.bsky.social (β)
β’οΈ Deadline: 1Feb26
π¦Ή Organisers: @aksoyundan.bsky.social , @kasimirdederichs.bsky.social, D Kretschmer, @awaldendorf.bsky.social
Info: tinyurl.com/yc2tusjx
Turns out the fastest way to get rid of anything in the UK is to call it a fire hazard π₯
Anyone tried this on political parties yet? #FireHazardPolitics
www.theguardian.com/environment/...
This workshop is tomorrow, don't miss your chance to register!
Details: bit.ly/3wBeY4S
Please share!
#AcademicSky #EconSky #RStats
#NoWords π±π±π₯ππ₯
10.12.2025 13:10 β π 15 π 5 π¬ 1 π 0Thanks a lot for sharing! And nice to see this published:)
24.11.2025 08:56 β π 0 π 0 π¬ 0 π 0Visas 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 collectβand publishβfine-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 Germanyβs 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.
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.
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
Billions of regressions β robustness.
My new PNAS Letter shows how unjustified models can drown out justified ones β and why thoughtful model selection mattersπ
www.pnas.org/doi/10.1073/...
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 π 12 π 5 π¬ 0 π 0π¨Weβre hiring! The Max Weber Institute in beautiful Heidelberg seeks a W3 Professor of Sociology (focus: sociological theory) who connects well with the departmentβs 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 π 55 π 45 π¬ 2 π 1
βοΈ Just out: Annette Baudisch & I delve into the formal demography of fertility, birth, & reproduction timing. πΆ We use methods from mortality research to summarize when in the parental life course children are born. π 1/n
doi.org/10.1080/0032...
@sdu.dk @oxforddemsci.bsky.social @mpidr.bsky.social
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 Lβmyah Sherae
Does #AirPollution π affect immigrant populations more than others?
ποΈI joined @usociety.bsky.social with Lβmyah Sherae to discuss #EnvironmentalJustice and the unequal exposure of immigrant minorities to air pollution in England and Germany.
Listen to the podcast below π
New article out in @sociusjournal.bsky.social.
It shows how closely linked motherhood penalties π€°π and gender inequalities π¨βπΌπ°π©βπΌ are by studying many local labour markets.
Thread π
journals.sagepub.com/doi/10.1177/...