Research team: Michael Grätz, Alicia Garcia Sierra (Unil), Sonia Petrini (Unil)
A large body of literature investigates how advantages in resources such as education, occupation, income, and wealth are passed on from one generation to another. This research is motivated by the idea that the intergenerational transmission of advantageous resources is at odds with the normative ideal of equality of opportunity. However, the relationship between the normative ideal of equality of opportunity and the empirical measures of intergenerational transmission is rarely made explicit and many researchers in this field avoid using a normative language and referring to equality of opportunity altogether.
This project addresses this major limitation of research on social stratification. The first innovation of EQUALOPP is to acknowledge that different conceptions of equality of opportunity, motivated by the literature in sociology, philosophy, political science, and economics, have to be distinguished. I distinguish between liberal and radical equality of opportunity.
The second innovation is that I relate these different conceptions of equality of opportunity to different empirically measurable concepts. The project will measure these empirical concepts using multiple data sources from five European countries and the United States. The empirical analyses will address three questions of major importance for the social sciences:
(1) Do liberal and radical equality of opportunity vary across countries?
(2) Have liberal and radical equality of opportunity increased across cohorts?
(3) Can educational reforms and societal changes affect liberal and radical equality of opportunity?
EQUALOPP will advance our understanding of equality of opportunity. It will both broaden our theoretical understanding of equality of opportunity and provide new and more reliable empirical measures of equality of opportunity. Finally, the empirical analyses will provide an up-to-date picture of equality of opportunity in Europe and the United States.
Equipe de recherche : Stephanie Steinmetz (Unil), Flavia Fossati (IDHEAP), Jeremy Kuhnle (Unil)
Ce projet étudie, en collaboration avec des équipes de recherche hautement renommées de neuf universités et centres de recherche européens, pourquoi et dans quelle mesure les minorités ethniques, raciales et religieuses sont exposées à des comportements discriminatoires et à des attitudes préjudiciables dans de multiples domaines de la vie, et ce dès la naissance.
Les chercheur·es étudieront comment cette constante exposition s'accumule tout au long de la vie et perpétue la position subordonnée des minorités au fil des générations. Pour les sociétés qui s'efforcent d'être inclusives et de garantir l'égalité des chances pour tous leurs membres, ce modèle structurel et cumulatif de désavantages est une préoccupation majeure. La principale contribution d'EQUALSTRENGTH est d'étudier les formes cumulatives et structurelles de discrimination, les préjugés à l'égard des groupes marginaux et les crimes de haine, entre autres, d'un point de vue transversal et intersectionnel.
Research team : Joëlle Darwiche (Unil), Laura Bernardi (Unil), Thierry Rossier (Unil), Magdalena Spasic (Unil)
In Switzerland, children grow up in various family arrangements (e.g. sole custody, shared custody) following the separation or divorce of their parents. We still know little about the impact of these arrangements on children's well-being, and whether they are stable over time. Drawing on knowledge from social demography, psychology, architecture and law, this interdisciplinary project will study the interdependent effects of four key dimensions on children's well-being: the socio-structural dimension related to social inequalities, the relational dimension in relation to family dynamics, the spatial dimension linked to children's mobility and housing structure, and finally, the legal dimension linked to custody arrangements decisions. Data will be collected through a large longitudinal survey to provide data at the national level and through a daily study to document whether and how conflicts between parents impact family relationships and child well-being.
Even though Europe is home to some of the most highly educated societies in the world, deep inequalities in education remain both within and between countries in Europe. LEARN will expand our understanding of these issues by collating existing evidence and generating new knowledge on educational inequalities, based on high-quality longitudinal data, and formulate practical evidence-based guidance to allow policy makers across Europe to address them on a solid empirical ground. To this end, LEARN will use an educational transition perspective, which can be applied comparatively to different national education systems and is sensitive to the main arenas of inequality production in these systems. LEARN examines the emergence and development of inequalities over the course of educational careers in nine carefully selected case study countries, which reflect the variety of welfare regimes and education systems apparent in Europe: Estonia, Finland, Germany, Ireland, Italy, The Netherlands, Romania, Switzerland and the United Kingdom.
LEARN has three overarching objectives:
Obtaining a deeper understanding of educational inequality requires an inter- and multi-disciplinary approach, as the drivers of these inequalities operate at different levels, through interlinked economic mechanisms, societal norms, and political processes. One key feature of LEARN is the complementary nature of the research team, with a background in education studies, longitudinal survey methodology, psychology, social policy, economics, sociology and social demography.
The Universities of Lausanne and Zürich (Switzerland) join forces with the Manchester Metropolitan University and University College London, LIfBi, University of Maastricht (Netherlands), Universities of Helsinki and Turku (Finland), University of Tallinn (Estonia), University of Trento and European University Institute - EUI (Italy), as well as Babeș-Bolyai University (Romania) are participating in LEARN. The project is coordinated at University of Helsinki, Finland.
Laura Bernardi (UNIL) collaborate with Moritz Daum and Doris Hanappi (UZH) within the "Policy and Impact on Education" work package in LEARN (led by the University of Zürich), and with 11 European teams to exploit existing education-focused longitudinal data sets, consolidate and disseminate scientific evidence on educational inequalities, and facilitating informed policymaking and public engagement.
The Swiss partners have the responsibility to create an online platform to share and translate scientific evidence on educational inequalities, training the evaluation of evidence for child-friendly education policies, and organizing science-policy-public cycles: EU LEARN EdHub
Research team: Felix Bühlmann (Unil), Anne-Sophie Delval (Unil), Steven Piguet (Unil), Glen Lomax (Unil)
The « Swiss Elite Observatory » (https://www.unil.ch/obelis/home.htmlOBELIS) has developed an internationally unique social science database, which has collected extensive information on over 35’000 members of political, economic, cultural and academic elites from 1890 to 2020. It includes data on social origins, education, career, military rankings, positions in committees and associations, prizes and family relationships of Swiss elites. It is connected to other national and international data platforms (Dodis, Swiss historical dictionary, metagrid.ch) and serves as the basis of a large, international and diverse number of research endeavours. In average, the Swiss Elites database is visited by 1300 individual users per week and is also part of a large “citizen science” project. The objective of this project is to: 1) adopt the existing database and to render it fully compatible with the FAIR and open data principles. 2) enlarge and strengthen the scientific communities studying elites with an active and outreaching community management and the organization of regular ORD training offers (summerschool, course modules, etc.) 3) roll out to and merge its data architecture with a wider project, the World Elite Database (WED), the leading international database on elites and the super-rich. Through this project we will set the standards for ODR data management and ODR data use in large prosopographical social science databases. It will allow a large international research community to understand the political, economic and environmental challenges by studying elites, their decisions and their influence and become a critical resource for many journalistic initiatives and non-gouvernmental organizations.
Research team : Davide Morselli (Unil), Maite Regina Beramendi (Unil), Andrès Martinez (Unil)
The PONs (People-Opinion Networks) project is a multidisciplinary research collaboration between Switzerland and South Africa, funded by the SFNS Lead Agency program. It is jointly led by Davide Morselli (University of Lausanne) and Kevin Durrheim (University of KwaZulu-Natal) and involves both social psychologists (Mike Quayle, University of Limerick) and data scientists (Bethel Murimo Mutanga, Mangosuthu University of Technology, Maria Schuld, University of KwaZulu-Natal). The goal of the PONs project is to study polarization in a framework that jointly considers opinions and the social structure. The way to do this is to link two networks, one based on opinions and one on interpersonal interactions.
The PONs project proposes therefore multilayered representations that we call People-Opinion Networks as a method to investigate opinion-based group dynamics. It explores new methods for extracting opinion-based networks from word embeddings trained on media and social media data.
This project will be focusing on polarizing debates in Switzerland and South Africa, studying opinion and interaction around two specific events in each country between 2010 and 2020. This research collaboration between Switzerland and South Africa aims to make an original contribution to the social sciences by developing a new method to study polarization and the dynamics of social change more generally.
PROFEM applies a cross-national, multi-method and multi-level research design which allows to
In the 20th century, a blend of domestic personal banking and wealth management for very rich international clients, profiting from Switzerland’s banking secrecy, dominated the Swiss financial sector. Since the 1990, this business strategy was completed by the participation of the two large Swiss banks in the market of American investment banking. Two of these central pillars of Swiss banking collapsed in recent years: while the financial crisis forced UBS and Credit Suisse to retire largely from US investment banking, the Swiss banking secrecy got broken in 2014 by the international pressure for harmonized fiscal policies. At the same time, supported by the Swiss governments, new actors entered the scene of Swiss finance and proposed alternative strategies: fintech, crypto, private equity/ venture funds and independent wealth managers. These actors of “alternative finance” were smaller, relied on different organizational models and championed future-oriented business models.
Based on a field theoretical model we seek to analyze how these new actors (whom we call “challengers”) enter the Swiss financial field and how they try to assert themselves against the established bankers (the “incumbents”). We focus on three questions relating to three specific power configurations within Swiss finance:
Using a combination of topical modelling and multiple correspondence analysis, we analyze the most important policy projects, identify the policy strategies of incumbents and challengers (including their broader political coalitions) and investigate (with a text-reuse approach) who’s positions prevail in the final versions of the law. This research project investigates a decisive transformation of an emblematic sector of Switzerland’s economy. Its innovative research design sheds light on both structural changes and individual representations and studies how they interact.