Abstract. This study examines the extent of anti-Jewish bias in German higher education through a survey experiment conducted among students (N=1,416) at a regional, average-sized German university (a...

Abstract. This paper examines the hiring and placement network of German professors in the fields of psychology and political science. It is well known that in the stratified university system of the ...

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How to explain social phenomena? How to conceptualize causality and draw valid causal inferences? How to incorporate history and culture into explanations? ...

First impressions often hinge on visible cues, leading people to infer the trustworthiness of strangers from their appearance and dress. While reli...

Abstract. This paper addresses a key yet untested proposition in social cohesion research: ethnic diversity fragments social networks and leads to an overa

Abstract. Survey experiments have become a popular methodology for causal inference across the social sciences. We study the efficacy of survey experiment

Article: Wide Social Influence and the Emergence of the Unexpected: An Empirical Test Using Spotify Data | Sociological Science | Posted October 23, 2025

(Forthcoming Article) - We assess whether men and women are treated differently when presenting their economics research. We collected data across thousands of seminars, job market talks and conferenc...

We investigated the extent to which the COVID-19 pandemic impacted long-standing gender inequalities in Dutch academia. Dutch academia is an ideal case to gain insight on exacerbated gender differentials due to COVID-19 on employees, because men and women face comparable institutional contexts and any COVID-19 impact becomes visible and measurable fast through potentially decreased yearly publications. We reconstructed the complete publishing careers up till 2022 of more than 8000 Dutch scientists who received a PhD from 1990 onwards and still had an active publication career before the pandemic started. We compared the publication dip between men and women during COVID-19. Our data allowed us to investigate whether the gendered impact of COVID-19 varied across research domains, different PhD cohorts and type of research output. We consistently find that COVID-19 did not have more severe consequences on research output for women than for men.

The percentage of women in academia is still lower than what would be expected statistically, especially in the sciences and among faculty (tenured professors). Theories on network closure suggest tha...

Paper output varies between disciplines, as does the trend after tenure is achieved.