Maël Lecoursonnais

To find out many other cool findings, check out the WP: osf.io/preprints/so.... (5/5)

Thanks to @martinhallsten.bsky.social, Maria Brandén, Maria Krysan and @jaapnieuwenhuis.bsky.social for their precious comments!

Output of a group-based trajectory model. Panel A presents the yearly median values for the trajectories of exposure to affluence in the neighborhood, school, and workplace, broken down by the trajectory groups. Panel B displays the distribution for each of the GBTM groups by the 1990 household income percentile.

While social exposure clearly follows a socioeconomic gradient, our trajectory clustering reveals that 17% of low-income origin individuals are highly exposed to affluence and show better outcomes than their lower-exposed peers (/!\ this is purely associational). (4/5)

Trajectories of exposure to affluence (top, Panel A) and poverty (bottom, Panel B) in the neighborhood, school, and workplace. The trajectories show the median value for a given year, broken down by the household income quintile in 1990 (yellow is first quintile, purple is last quintile) when the cohort was aged around 16.

Second, social exposure follows a clear U-shape over time, with initial increase in poverty exposure after leaving home followed by a convergence back to origin levels (with opposite trends for affluence, ↘️ then ↗️), especially among high-income individuals. (3/5)

Measures of cross-domain correlation for exposure to affluence for individuals registers in multiple domains in a given year. Levels of exposure to affluence are correlated across all life domains. Notation: Work = Workplace; Uni. = University; Upp. = Upper secondary school; Comp. = Compulsory school; Nbhd. = Neighborhood

We measure social exposure as the share of top- and bottom-income individuals in each domain at the individual level.

First, we find high levels of socioeconomic homogeneity across life domains, with strong cross-domain correlations at each point in time and over individuals' life course. (2/5)

Title page of the paper.

🧵 New WP! w/ @selcanmutgan.bsky.social

Most segregation research examines neighborhoods, schools, or workplaces separately. But do individuals' exposure align across domains and persist over the life course? We fill this gap using 27 years of 🇸🇪 data.

Pre-print: osf.io/eunwc_v1 (1/5)

🚨Recrutement au CREST @crestumr.bsky.social

Ingénieur de recherche CDD 3 ans support computationnel aux sciences sociales

Venez rejoindre notre cellule données appui au sciences sociales computationnelles !

Fiche de poste ▶️ nextcloud.lab.groupe-genes.fr/s/XMe4EGtRfb...

Candidature < 15 avril

📢 In this Social Forces article, I introduce occupational elitism as a novel measure of social closure: the share of upper-class background workers within an occupation.

Its consequences for earnings stratification can be examined using a social closure theory lens.

🔓 doi.org/10.1093/sf/s...

For the ABM and networks enthusiasts: Special Issue of Social Networks on "Agent-based Modelling for Social Network Research" - co-ed by Andreas Flache, @squazzoni.bsky.social, Károly Takács and me

www.sciencedirect.com/special-issu...

Deadlines
Extended abstracts: 1 April
Full papers: 15 November

Computational Social Scientists in the Nordics, unite!
🇩🇰🇫🇮🇳🇴🇸🇪🇮🇸

The brand new Nordic Society for CSS welcomes all researchers and practitioners based in the Nordics. The Society will promote student mobility, events, and education initiatives.

Join for free: nosocss.org/join.html.

“Kin Propinquity, Residential Mobility & Segregation”: @benjarvis.bsky.social, @kchihaya.bsky.social & @eduardotapia.bsky.social examine ancestry & segregation; they find ancestry sorting effects are 3X greater than kin propinquity effects. @iasliu.bsky.social read.dukeupress.edu/demography/a...

Comment poussent les enfants À propos de : Annette Lareau, Enfances inégales. Classe, race et vie de famille, ENS Éditions

Découvrez le classique d'Annette Lareau sur la socialisation des enfants. Cet ouvrage explore l'impact des stratégies parentales sur l'éducation et les inégalités qu'elles engendrent.

Great audience beautiful city would recommend anyone to pay a visit

Analytical Sociology Seminar: Per Engzell Welcome to the Analytical Social Seminar with Per Engzell from University College London. Patrons, protégés, and peers: Workplace mechanisms of intergenerational inequality. The seminar is open for th...

Join us on Thursday, 11 December, at 14:30 CET for the last Analytical Sociology Seminar of the term with @pengzell.bsky.social 🔹 Patrons, Protégés, and Peers: Workplace Mechanisms of Intergenerational Inequality 🔹 More info: liu.se/en/event/ana...

The 8th European Conference on Social Networks (EUSN 2026) The 8th European Conference on Social Networks (EUSN 2026) will take place on 11–15 August 2026 in Norrköping, Sweden, hosted by the Institute for Analytical Sociology (IAS), Linköping University. The conference brings together scholars and ...

The 8th European Conference on Social Networks (EUSN 2026) will take place on 11-15 August 2026 in Norrköping, Sweden, hosted by @iasliu.bsky.social

⌛ Deadline for workshop and session proposals: 1 December 2025

More information: liu.se/en/event/eus...

📢 URGENT

Le questionnaire sur "l'antisémitisme à l'université" a été diffusé dans des universités par voie administrative (sans contre-ordre). Des collègues cherchent à collecter expressément des témoignages de collègues qui l'auraient reçu

👉 Contactez <laurens@ehess.fr>

#ESR #HelpESR #VeilleESR

My latest research shows large social inequality in savings parents make for children 👶💶

🎉🎉 Big news! So excited to work on this project for the next 4 years!

📢CALL FOR PAPERS📢
AFÉPOP 2026 CONFERENCE

🗓️ May 6-7, 2026
📍 Strasbourg BETA
✨Keynote: Marianne Simonsen (Aarhus Uni, @cesifo.org, @iza.org)

Apply👇
afepop2026.sciencesconf.org

Topics: Population econ (gender, family, education, labor, health, demography, inequalities, etc.)
Deadline: Feb 6⏱️

If you are at the ODISSEI conference, check out our poster (#47) from the netreg.se project. @eliscl.bsky.social

From Flux to Capital: Distinguishing Patterns of Income and Wealth Segregation in the Netherlands Who are “the rich” and how should their residential patterns be studied? In society, the rich are defined not only by their high income but also—and perhaps more importantly—by their high wealth. How...

In this article, @javiersanmillan.bsky.social @clementinecttn.bsky.social and Maarten van Ham compare the spatiotemporal patterns of income vs. wealth segregation, affluence and poverty in the Netherlands. Using geo-coded register microdata, they show that...

doi.org/10.1002/psp....

🔈Job Alert!
Swedish Excellence Center in Computational Social Science (SWECSS) is hiring postdoctoral researchers. Positions are available at IAS and the Department of Computer Science (IDA).

⌛Deadline: 31 October
IAS: liu.se/en/work-at-l...
IDA: liu.se/en/work-at-l...

#academicsky #css

The Swedish Excellence Centre for Computational Social Science This is a research hub and training centre at the forefront of Computational Social Science, a rapidly growing field that leverages computational tools to advance our understanding of human behavior a...

📢 Join the SweCSS Community!

If you would like to stay informed about upcoming events, job opportunities, and news from The Swedish Excellence Centre for Computational Social Science (SweCSS), you are welcome to join our mailing list. #css #academicsky

👉 Sign up here: liu.se/en/research/...

New article w/ @jenjirayahirun.bsky.social: Exogamous 2nd gen immigrants in Sweden live further from parents than do endogamous immigrants, but closer than natives. But in terms of residential choices, exogamous immigrants are least likely to move near parents.

2026 ? Je crois que j’ai déjà un truc de prévu…

Seminars and lectures at IAS Welcome to IAS public lectures and seminars.

Join us on Thursday, 18 Sept, at 14:30 CET for the International Roundtable on Computational Social Science with Laura Bronner @laurabronner.bsky.social 🔹Tackling harmful online comments on news platforms: three field experiments 🔹More info: liu.se/en/article/s...

we're hiring assistant professor in computational social science, applications close 26/10/2025

We're hiring an Assistant Professor in Computational Social Science ❗

📚 jobs.lse.ac.uk/Vacancies/W/...

Apply before 26 October and join an internationally outstanding group of social science methodologists 🌎

The Spatial Determinants of Academic Aspirations: Evidence From Sweden Differences in access to higher education are a well-known contributor to socioeconomic inequalities. Yet, despite considerable interest from policymakers, we know little about the processes linking ...

Parental education is still key, but proximity reduces the gap a little: kids from less educated families gain most from living close to a university.

👉 Bottom line: geography shapes aspirations and can reinforce inequality.

Excited to share this first article from my PhD 🎉

Why? Distance effects are often explained by exposure to the academic environment and by the costs of distance. We find that peer exposure explains part of the effect—but not all. Even after accounting for it, distance still matters, with costs reducing aspirations as early as age 15.

Line chart showing the probability of applying to an academic track by distance to the closest higher education institution (HEI) in kilometers. The baseline model (red line with squares) shows a sharp decline in probability from about 0.72 near universities to around 0.61 at 100 km, with the steepest drop between 5 and 20 km. When accounting for academic exposure (blue line with circles), the probability is consistently lower and flatter, around 0.65, with only a slight downward trend across distance. Shaded areas show confidence intervals.

The effect is big: students furthest from a university are up to 12 percentage points less likely to apply for the academic track.

The effect is strongest between 5–20 km: even small differences in distance here can make a big impact. Beyond ~20 km, the effect levels off.

The Spatial Determinants of Academic Aspirations: Evidence From Sweden Differences in access to higher education are a well-known contributor to socioeconomic inequalities. Yet, despite considerable interest from policymakers, we know little about the processes linking ...

Thrilled to share my first publication! 🎉
Together with Maria Brandén and Erik Rosenqvist, we show that distance to higher education shapes academic aspirations in Sweden—well before their university education begins. (1/4)