Crowd-work – Finding new strategies to organise labour in Europe

EC DG Employment
2019-2021
Head of Reseach (on behalf of CSS): Miklós Illéssy 

The objective of the project is to identify alternative self-organised actions to improve crowd workers’ working conditions, analyse their strategies and compare them with trade unions’ plans in and across countries. The project will contribute to the EU policy agenda by providing sound knowledge on the working conditions of crowd workers as well as traditional and new union strategies to support their rights; improve expertise in the field of industrial relations (including references to existing research on the given topic and adding original empirical research to it) and develop strategies to improve the organization of crowd workers by reflecting on traditional as well as self-organised strategies. The work will focus on answering the research questions by means of case study analyses. The cases will provide actual information about strategies and actions developed by trade unions as well as those autonomously developed by crowd workers.

Head of consortium: CICS.NOVA of Universidade Nova de Lisboa (Portugal)
Further participants: 
notus-asr (Spain)
Institute for Technology Assessment and Systems Analysis (ITAS) / Karlsruhe Institute of Technology (KIT) (Germany)

Website: https://crowd-work.eu/

Report 2019:

The project started on 1st of May 2019. The Hungarian project team members analysed the relevant national and international literature on this topic, conducted preliminary interviews with experts and stakeholders. On the basis of the first interviews, it is clear that platform work is growing dynamically not only in Hungary but in the European Union as well. Despite this dynamic growth, however, many crucial aspects of this form of work and employment are not regulated properly. The most important questions are related to the employment status of the platform workers, their working conditions and job quality, not speaking about the taxation rules of their works and incomes.