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Sergi Ferrer

@sergiferrer.bsky.social

Assistant Professor of Political Science at the Open University of Catalonia. Research Fellow at the Demotradeoff project based at the Autonomous University of Barcelona. www.sergiferrer.org

354 Followers  |  328 Following  |  23 Posts  |  Joined: 16.10.2023  |  1.8857

Latest posts by sergiferrer.bsky.social on Bluesky

Content (i afortunat) d'haver pogut treballar amb ell aquests darrers anys! Enhorabona @ehernandez.bsky.social! Premi molt merescut!๐Ÿฅณ๐Ÿฅณ

02.10.2025 09:24 โ€” ๐Ÿ‘ 9    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
e-TAULER - Consorci Administraciรณ Oberta de Catalunya e-TAULER - Consorci Administraciรณ Oberta de Catalunya

๐Ÿ“ข Call open!
We are hiring a Postdoctoral Researcher for the EU-funded project TaCT-FoRSED, which studies how conspiracy theories affect democratic attitudes.

โ„น๏ธ Info: tauler.seu-e.cat/detall?idEns...

๐Ÿ”— Application: seleccio.uab.cat/seleccio/log...

01.10.2025 20:24 โ€” ๐Ÿ‘ 10    ๐Ÿ” 14    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 4
e-TAULER - Consorci Administraciรณ Oberta de Catalunya e-TAULER - Consorci Administraciรณ Oberta de Catalunya

๐Ÿ“ข Convocatรฒria oberta! Busquem un Tรจcnic especialista de Suport a la Recerca per al projecte europeu TaCT-FoRSED, finanรงat per
@EU_H2020
, sobre conspiracions i democrร cia.

โ„น๏ธ Informaciรณ: tauler.seu-e.cat/detall?idEns...
๐Ÿ”— Solยทlicituds: seleccio.uab.cat

30.09.2025 20:50 โ€” ๐Ÿ‘ 4    ๐Ÿ” 7    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 1
The Spanish Political Attitudes Panel (12 waves) Scientific Data - The Spanish Political Attitudes Panel (12 waves)

From the research group @dec-gr.bsky.social, we are glad to share our new Scientific Data article presenting the release of the first 12 waves of the Spanish Political Attitudes Panel (POLAT).

rdcu.be/eIkms

29.09.2025 16:05 โ€” ๐Ÿ‘ 41    ๐Ÿ” 19    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 4
Preview
Sexism and the Gender Gap in Support for the Radical Right Using survey data from Spain we show that the gender gap in the probability of voting for the radical-right party Vox is mainly due to men having higher levels of modern sexism than women. We find ...

We have a new paper out with @gricoc.bsky.social in @jwpp.bsky.social (this time I swear I am going to post the right link): www.tandfonline.com/doi/full/10....

24.09.2025 17:14 โ€” ๐Ÿ‘ 60    ๐Ÿ” 31    ๐Ÿ’ฌ 2    ๐Ÿ“Œ 4
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The value of liberal democracy: Assessing citizens' commitment to democratic principles SERGI FERRER, ENRIQUE HERNรNDEZ, ENRIQUE PRADA, DAMJAN TOMIC

๐Ÿ“˜ 64.4

๐Ÿ“Š Citizens strongly resist trading off free elections for income, but show more willingness to compromise on other liberal norms according to @sergiferrer.bsky.social @ehernandez.bsky.social @enprava.bsky.social @damjantomic.bsky.social

๐Ÿ”— buff.ly/2uIi1YT

18.09.2025 07:00 โ€” ๐Ÿ‘ 7    ๐Ÿ” 4    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
Call for expressions of interest for a PhD scholarship within the project GPOL โ€“ Democracy, Elections and Citizenship

๐Ÿงฒ We are hiring!
โœจ PhD position to join @dec-gr.bsky.social
๐Ÿ 4-year FPI contract
๐ŸŽ“ Pol Sci / Social Sci background + Masterโ€™s + English
๐Ÿ“ง Send expression of interest with CV and motivation letter to gr.dec@uab.cat
๐Ÿ”— tinyurl.com/yc3epmv2

17.09.2025 09:22 โ€” ๐Ÿ‘ 31    ๐Ÿ” 35    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 4

Three weeks left to apply ๐Ÿ‘‡

11.09.2025 06:21 โ€” ๐Ÿ‘ 19    ๐Ÿ” 14    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

๐Ÿšจ Reposting to avoid any confusion between EPSS & EPSA ๐Ÿšจ

If you want to support non-for-profit, member-led political science association, EPSS is the place to be!

More here ๐Ÿ‘‡๐Ÿฝ

10.09.2025 07:39 โ€” ๐Ÿ‘ 12    ๐Ÿ” 19    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 1
Preview
Ausschreibung

@deeesharp.bsky.social & I are looking for a collaborator on a project w/ @offenegesellschaft.bsky.social on empathy-based interventions against affective polarization @uni-hamburg.de
j0b.de/veca

75% PhD position, 1st yr project funded & can be converted to a position w/ teaching afterwards
๐Ÿ“†31/08

14.08.2025 15:30 โ€” ๐Ÿ‘ 32    ๐Ÿ” 30    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 4
Models as Prediction Machines: How to Convert Confusing Coefficients into Clear Quantities

Abstract
Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear models, but is more challenging for more complex models with, for example, categorical variables, interactions, non-linearities, and hierarchical structures. Here, we introduce an alternative approach to making sense of statistical models. The central idea is to abstract away from the mechanics of estimation, and to treat models as โ€œcounterfactual prediction machines,โ€ which are subsequently queried to estimate quantities and conduct tests that matter substantively. This workflow is model-agnostic; it can be applied in a consistent fashion to draw causal or descriptive inference from a wide range of models. We illustrate how to implement this workflow with the marginaleffects package, which supports over 100 different classes of models in R and Python, and present two worked examples. These examples show how the workflow can be applied across designs (e.g., observational study, randomized experiment) to answer different research questions (e.g., associations, causal effects, effect heterogeneity) while facing various challenges (e.g., controlling for confounders in a flexible manner, modelling ordinal outcomes, and interpreting non-linear models).

Models as Prediction Machines: How to Convert Confusing Coefficients into Clear Quantities Abstract Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear models, but is more challenging for more complex models with, for example, categorical variables, interactions, non-linearities, and hierarchical structures. Here, we introduce an alternative approach to making sense of statistical models. The central idea is to abstract away from the mechanics of estimation, and to treat models as โ€œcounterfactual prediction machines,โ€ which are subsequently queried to estimate quantities and conduct tests that matter substantively. This workflow is model-agnostic; it can be applied in a consistent fashion to draw causal or descriptive inference from a wide range of models. We illustrate how to implement this workflow with the marginaleffects package, which supports over 100 different classes of models in R and Python, and present two worked examples. These examples show how the workflow can be applied across designs (e.g., observational study, randomized experiment) to answer different research questions (e.g., associations, causal effects, effect heterogeneity) while facing various challenges (e.g., controlling for confounders in a flexible manner, modelling ordinal outcomes, and interpreting non-linear models).

Figure illustrating model predictions. On the X-axis the predictor, annual gross income in Euro. On the Y-axis the outcome, predicted life satisfaction. A solid line marks the curve of predictions on which individual data points are marked as model-implied outcomes at incomes of interest. Comparing two such predictions gives us a comparison. We can also fit a tangent to the line of predictions, which illustrates the slope at any given point of the curve.

Figure illustrating model predictions. On the X-axis the predictor, annual gross income in Euro. On the Y-axis the outcome, predicted life satisfaction. A solid line marks the curve of predictions on which individual data points are marked as model-implied outcomes at incomes of interest. Comparing two such predictions gives us a comparison. We can also fit a tangent to the line of predictions, which illustrates the slope at any given point of the curve.

A figure illustrating various ways to include age as a predictor in a model. On the x-axis age (predictor), on the y-axis the outcome (model-implied importance of friends, including confidence intervals).

Illustrated are 
1. age as a categorical predictor, resultings in the predictions bouncing around a lot with wide confidence intervals
2. age as a linear predictor, which forces a straight line through the data points that has a very tight confidence band and
3. age splines, which lies somewhere in between as it smoothly follows the data but has more uncertainty than the straight line.

A figure illustrating various ways to include age as a predictor in a model. On the x-axis age (predictor), on the y-axis the outcome (model-implied importance of friends, including confidence intervals). Illustrated are 1. age as a categorical predictor, resultings in the predictions bouncing around a lot with wide confidence intervals 2. age as a linear predictor, which forces a straight line through the data points that has a very tight confidence band and 3. age splines, which lies somewhere in between as it smoothly follows the data but has more uncertainty than the straight line.

Ever stared at a table of regression coefficients & wondered what you're doing with your life?

Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social)
Preprint: doi.org/10.31234/osf...
Website: j-rohrer.github.io/marginal-psy...

25.08.2025 11:49 โ€” ๐Ÿ‘ 953    ๐Ÿ” 283    ๐Ÿ’ฌ 48    ๐Ÿ“Œ 20

๐Ÿ“ข EPSS 2026 Call for Papers! @hannaeback.bsky.social and I are excited to invite submissions for the Political Representation section at EPSS 2026 in Belfast. EPSS has some exciting new panel formats this year - read on! ๐Ÿงต

18.08.2025 07:33 โ€” ๐Ÿ‘ 27    ๐Ÿ” 18    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0
Post image

Apply to EuroWEPS 12/13! We're organizing the next EuroWEPS workshops at Bocconi (Nov 14) and EUI (Dec 15) to discuss designs/papers focusing on causal inference. No presentations, just constructive discussions. Early career scholars are especially welcome to apply! Submission deadline is Sep 30

14.08.2025 17:06 โ€” ๐Ÿ‘ 47    ๐Ÿ” 30    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 5
Preview
Young men, gendered labour market competition, and opposition to gender equality policy across 27 EU countries Recent studies have shown an increasing divide in political values between young men and women, particularly regarding gender equality attitudes. In this study it is argued that this is due in part...

New publication in @wepsocial.bsky.social!

Are young men becoming more conservative?

This debate requires a) more nuance and b) theoretical explanations for often descriptive results. With Amy Alexander and Nicholas Charron, we try addressing both.

www.tandfonline.com/doi/full/10....

07.08.2025 14:53 โ€” ๐Ÿ‘ 116    ๐Ÿ” 41    ๐Ÿ’ฌ 3    ๐Ÿ“Œ 0

EPSA have announced that they will hold a conference in July 2026.

๐Ÿ˜ตโ€๐Ÿ’ซ We understand that there might be some confusion about EPSS and EPSA.

๐Ÿ‘‰๐Ÿฝ So we thought we would clarify some things.

A short ๐Ÿงต

07.08.2025 16:28 โ€” ๐Ÿ‘ 184    ๐Ÿ” 146    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 14

The European Political Science Society is now accepting paper & panel proposals for its annual conference!

๐Ÿ“ข Call for Papers: EPSS 2026 โ€“ Belfastโ€จ
๐Ÿ—“๏ธ June 18โ€“20, 2026โ€จ
๐Ÿ“ ICC Belfastโ€จ
๐Ÿ“ฌ Deadline: Nov 7, 2025

๐Ÿงต

01.08.2025 07:09 โ€” ๐Ÿ‘ 129    ๐Ÿ” 98    ๐Ÿ’ฌ 2    ๐Ÿ“Œ 26
Call for Papers | EPSS Belfast 2026 Conference Submit your abstract or full paper for EPSS Belfast 2026. Share cuttingโ€‘edge political science research, network with peers & contribute to academic impact.

The @epssnet.bsky.social call for the 2026 conference in Belfast opened today! ๐Ÿ˜ฎ

epssnet.org/belfast-2026...

Deadline: 7 November 2025

31.07.2025 12:24 โ€” ๐Ÿ‘ 37    ๐Ÿ” 21    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 1
Post image Post image

๐ŸงชHow did COVID-19 affect citizensโ€™ democratic preferences?

โžก๏ธ @cescamat.bsky.social A.Arenas A.Falcรณ & @jordimunoz.bsky.social find a lasting rise in technocratic preferences and a temporary bump in the willingness to sacrifice civil rights and freedoms www.cambridge.org/core/journal... #FirstView

23.07.2025 11:01 โ€” ๐Ÿ‘ 19    ๐Ÿ” 10    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Gracias Pablo!!

22.07.2025 08:43 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Gracias Marรญa!๐Ÿฅณ

22.07.2025 08:43 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Thank you Markus!

22.07.2025 08:42 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Grร cies Rubรฉn!๐Ÿฅณ

22.07.2025 08:42 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Thank you Morgan!

22.07.2025 08:42 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Thank you Dieter!

22.07.2025 06:44 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Gracias รlvaro!

22.07.2025 06:44 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Grร cies Pep!

22.07.2025 06:43 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Gracias Alejandro!๐Ÿ˜Š

21.07.2025 15:53 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

Gracias Damjan!๐Ÿ˜Š

21.07.2025 15:52 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

๐Ÿฅณ๐ŸŽ‰ Thrilled to announce that I'll be officially joining the @uocuniversitat.bsky.social as Assistant professor of Political Science as of Agust 1st! Looking forward to initiating this new step in my career with my new colleagues! ๐Ÿ™Œ

21.07.2025 15:46 โ€” ๐Ÿ‘ 29    ๐Ÿ” 0    ๐Ÿ’ฌ 11    ๐Ÿ“Œ 0
Preview
Introducing "Etched in Marble": Writers on the Forces That Shape Us and the Writing That Endures Catherine Talks to Writers About Why and How They Write

This September, Iโ€™m launching a new series as part of my Respect the Marble Substack called:โ€จ
Etched in Marble: Conversations with writers about how & why they write

I wrote about in my latest post: catherineeunicedevries.substack.com/p/introducin...

๐Ÿงต

17.07.2025 07:43 โ€” ๐Ÿ‘ 39    ๐Ÿ” 11    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 3

@sergiferrer is following 20 prominent accounts