Sandra Leumann
Research fields
Sandra Leumann works as a research associate at the Research Professorship on Work, Family, and Social Inequality, led by Prof. Lena Hipp. Currently, her research primarily focuses on questions of social cohesion. As part of her research, she regularly participates in knowledge transfer projects such as the Visual Society Programme (ViSoP), wzb wirkt, YES Student Competition, and book a scientist. In parallel, Sandra Leumann is pursuing her PhD at the University of Potsdam, where her dissertation examines the working conditions of Polish 24-hour caregivers using respondent-driven sampling (supervision: Prof. Lena Hipp and Prof. Ulrich Kohler).
CV
05/2023 – Present
Research Associate at the Research Professorship on Work, Family, and Social Inequality in the project:
Solidarity and cohesion in today's society: Views and visions of young people (Mercator Foundation)
08/2017 – 04/2023
Research Associate in the Research Group on Work and Care in the projects:
Who cares? Paid and unpaid care work (BMBF/German Ministry of Education and Research)
Who's going to take care of grandma? An application of respondent-driven sampling to the home-based elderly care sector (BMAS/German Ministry of Labour and Social Affairs)
01/2017 – 07/2017
Research Assistant in the Department of Migration, Integration, Transnationalization in the project:
Growth, Equal Opportunities, Migration, and Markets (Horizon 2020 of the European Commission)
Transfer projects
2024/2025 Participation in the Visual Society Programme with the project ‘Solidarity and cohesion in today's society: Views and visions of young people’
2023/2024 ‘WZB wirkt’: Film and panel discussion on the project ‘Hidden costs of gender-atypical occupations’
2021 Topic sponsor for the Young Economic Summit student competition ‘Pflege 2030 - Wie dem Nachwuchsmangel begegnen?’
2021 Participation in ‘book a scientist’
2018/2019 Participation in the Visual Society Program with the project ‘Who's going to take care of grandma? An application of respondent-driven sampling to the home-based elderly care sector’