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Damiano Uccheddu

@damianouccheddu.bsky.social

Sociologist and Demographer ► Interested in #gender and #socialinequalities in #health in later life | Quantitative methods | Postdoc at UCLouvain | PhD from NIDI-KNAW & RUG-GMW (https://damianouccheddu.bio.link/)

77 Posts917 Follower1204 Folgt
Damiano Uccheddu@damianouccheddu.bsky.social · 7mo ago

Great opportunity for anyone working with longitudinal data and life course perspectives. Very much looking forward to #SLLS2026 in Brussels (hosted at the Free University of Brussels, ULB). Please consider submitting and sharing widely! More information: www.slls.org.uk/events/slls-...

Society for Longitudinal and Lifecourse Studies (SLLS)@sllshome.bsky.social · 10mo ago

📢 CALL FOR ABSTRACTS SLLS Annual Conference 2026 Structure & Change in Critical Times: Implications for the Life Course Université Libre de Bruxelles 1 - 3 July 2026 For full details and to submit an abstract: www.sllsconference.com/callforabstr... Deadline for submissions: 13 February 2026

DEMO LLN 🇧🇪@demographielln.bsky.social · 9mo ago

📢 New publication alert! Ashira Menashe-Oren, @damianouccheddu.bsky.social & Ester Rizzi published their work on social ties in old age and the effect of the COVID-19 pandemic. They compared 13 European countries using SHARE data. Read more: doi.org/10.1007/s104...

Social ties in old age: the effect of the COVID-19 pandemic - European Journal of Ageing

Social ties amongst older adults were immediately affected by the COVID-19 pandemic—both by the deaths occurring disproportionately amongst older adults and by the policies limiting social contact imp...

doi.org

Institut für Soziologie, Universität Wien@ifswien.bsky.social · 11mo ago

👋 We are happy to welcome Tabitha Scott and Damiano Uccheddu as research fellows at Assoc. Prof. Valeria Bordone's team @ageingsocvienna.bsky.social ! Read more about them ➡️ www.soz.univie.ac.at/en/detail-ne... @valeriabordone.bsky.social @damianouccheddu.bsky.social #sociology @univie.ac.at

Incoming Research Fellows: Tabitha Scott and Damiano Uccheddu

We are delighted to welcome Tabitha Scott and Damiano Uccheddu as visiting scholars at Team Bordone!

soz.univie.ac.at

Giulia Tattarini@giuliatattarini.bsky.social · last yr.

The dream team <3 1.5 yrs after our first @UHH 🇩🇪 edition, another great networking workshop on @cognitiveaging—this time for junior researchers, hosted by @damianouccheddu.bsky.social @uclouvain.bsky.social! Next stop: Konstanz, hosted by @arianebertogg. Stay tuned!

Damiano Uccheddu@damianouccheddu.bsky.social · last yr.

Just wrapped up our 2nd #CognitiveAging workshop at @demographielln.bsky.social (@uclouvain.bsky.social)! Inspiring discussions on #CognitiveHealth & #Inequalities🧠 Grateful to co-organizers Dr.@giuliatattarini.bsky.social & Dr. Ariane Bertogg, to Prof. Megan Zuelsdorff (keynote) & all participants!

Fabrizio Bernardi@fabriberna.bsky.social · last yr.

Following an exchange with @marcoalbertini.bsky.social on the @isa-rc28.bsky.social letter to the @isa-sociology.org exec committee, I’m reposting my position on requests to review for the Israel Science Foundation.

Fabrizio Bernardi@fabriberna.bsky.social · last yr.

I have received a request to review from the Israel Science Foundation today. I have declined it. My email reply below. My position is similar to @philipncohen.com : I do not collaborate with institutions linked to the Israeli government. But I do collaborate with individual researchers.

Rebecca Sear@rebeccasear.bsky.social · last yr.

““salad bar extremism” is a mix-and-match worldview where misogyny is blended with white nationalism, anti-government sentiment and conspiratorial thinking to justify violence” theconversation.com/i-analyzed-m...

I analyzed more than 100 extremist manifestos: Misogyny was the common thread

Gender identity–driven violence is the most common ideological theme across ‘lone-actor’ extremist manifestos in a recent study.

theconversation.com

Damiano Uccheddu@damianouccheddu.bsky.social · last yr.

Lettera aperta al Presidente dell’Istituto Nazionale di Statistica (ISTAT @mm-istat-news-bot.bsky.social) – Italian Association for Population Studies (@aisp-sis.bsky.social) be FAIR, ISTAT! #beFAIR_ISTAT #openScience 🇮🇹 aisp-sis.com/lettera-aper...

Lettera aperta al Presidente dell’Istituto Nazionale di Statistica (ISTAT), Prof. Francesco Maria Chelli - AISP

Accessibilità ai microdati per la ricerca scientifica nell’ambito degli studi di popolazione Egregio Presidente, a nome dell’Associazione Italiana per gli Studi di Popolazione (AISP), Le scriviamo all...

aisp-sis.com

Gaia Ghirardi@gaiaghirardi.bsky.social · last yr.

New paper with @fabriberna.bsky.social - part of my PhD thesis! Why are the negative educational consequences of parental separation stronger among high-SES children? → When high-SES parents separate, they lose their ability to compensate for their child’s low genetic propensity for education 🧬👪

Demography - the flagship journal of PAA@readdemography.bsky.social · last yr.

“SES, Genes & Differential Effects of Parental Separation on Educational Attainment”: @fabriberna.bsky.social & @gaiaghirardi.bsky.social find the largest penalty for “high-SES students whose parents separate is…among those w/ a low PGI EA.” @eui-eu.bsky.social read.dukeupress.edu/demography/a...

Silvia Loi@loisilvia.bsky.social · last yr.

Excited to present at #PopDays2025 soon! Being in my hometown - the city of sun - makes it particularly special!

Max Planck Institute for Demographic Research (MPIDR)@mpidr.bsky.social · last yr.

#PopDays2025 Come and find us on day2 @isamarinetti.bsky.social | @vinodjosephkj.bsky.social | @angelorenti.bsky.social | @aledinal.bsky.social | @loisilvia.bsky.social | Megan Evans | Zafer Buyukkececi | Nathan Robbins | Songyun Shi | Chiara Micheletti | Boris Barron | Andrea Colasurdo | Emma Zai

AISP@aisp-sis.bsky.social · last yr.

Everything is ready for the 2025 edition of Population Days - the conference of the Italian Association for Population Studies. We are looking forward to seeing you all in Cagliari! 👉 Use #PopDays2025 to post about the conference!

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Richard McElreath 🐈‍⬛@rmcelreath.bsky.social · last yr.

Amen - coefficients from different (often non-linear) models don't mean the same thing, but they get compared all the time. The "effect" of interest is a marginal effect for an explicit target population, not a parameter. Software guided workflow could help, plug into tools like marginaleffects.com

Julia M. Rohrer@dingdingpeng.the100.ci · last yr.

Managed to squeeze in the urgently necessary shoutout to marginaleffects marginaleffects.com @vincentab.bsky.social

Speaking of quantification, another issue that remains open is the choice of appropriate metrics when pooling disparate analyses. Ideally, all effect estimates would be expressed in a common metric to ensure they are actually comparable [7]. Kowall and colleagues instead present a range of Hazard Ratios, Odds Ratios and Relative Risks. There are two pragmatic arguments to justify the usage of disparate metrics. First, it may not make a substantial numerical difference in this particular case—if the prevalence is low, Odds Ratios approach Relative Risks according to the rare disease assumption [8]. Second, readers of studies may interpret these different metrics in the same way anyway, thus rendering the differences between them irrelevant in practice. But they are not irrelevant when the aim is to precisely identify sources of discrepancy, in which case a common effect metric would be desirable. There remains work to be done to enable translation between metrics for very different classes of models—which admittedly may not always be possible, but is at least conceivable, in particular when the underlying data are available (rather than just summary statistics). A promising development on that front is work on a more comprehensive marginaleffects framework in the social sciences [9] that enables researchers to derive a wide number of effect size quantifications from disparate classes of statistical models (with accompanying software packages in R and Python). This, in turn, should enable us to find out whether two different statistical models give the same answer when asked precisely the same question.