Movement mobilization has a significant impact on party politics, shaping the brands of political parties and their repertoires of action. Drawing on perspectives from political science and sociology, the project examines the role of movement brands in party politics. We aim to identify the types of parties that are more likely to adopt movement-like brands, to use contextual variation to determine the conditions that facilitate the emergence of movement brands, and to identify their consequences for public support and the mobilizing capacity of different party brands.
The research project „Conditions of Social Responsibility – Private School Funding in the Federal States of Germany” is a follow up to the private school research on the so called ‘Sonderungsverbot’ (article 7 paragraph 4 of the German Basic Law), which prohibits a segregation of private schools’ students based on the economic situation of their parents. Previous research focused on how the ‘Sonderungsverbot’ is implemented in the laws and regulations of each federal state and under which conditions and up to which limits private schools are allowed to charge tuition fees. The current research project turns to the main source of private schools’ financial resources: state funding.
Das als Machbarkeitsstudie angelegte Projekt hatte zum Ziel zu prüfen, wie in der Wartburgregion in Thüringen digitalbasierte Mitfahrangebote auf Basis von Elektromobilität umgesetzt werden können, die dazu geeignet sind, einerseits die Mobilität in nachfrageschwachen Räumen zu verbessern und gleichzeitig die Verbreitung von Elektroautos zu befördern.
Since 2004 the German Data Forum (RatSWD) advises the German federal government and the federal states (Länder) in matters concerning the research data infrastructure for the empirical social, behavioural, educational and economic sciences. The Berlin Social Science Center (WZB) is responsible for managing the business of the German Data Forum.
Within the German Data Forum, elected researchers work together with representatives from major data-producing institutions to develop recommendations for reliable framework conditions and the design of a sustainable research data infrastructure. It is committed to ensuring user-friendly, quality-assured and legally compliant access to sensitive research data.