Incoding - Democracy at Work through Transparent and Inclusive Algorithmic Management



INCODING is a joint project of 5 partner organizations from five countries, financed by the European Commission under EaSI – Programme for Employment and Social Innovation.

The aim of the INCODING project is to analyse the role of collective bargaining and other forms of employee involvement at workplace level in (co) governing the black box of AM with a view to identify the main challenges for workers and their representatives, and explore its contribution to Inclusive Algorithmic Management understood as the turn to more transparency in the design and implementation of AI based systems at company level and guaranteeing human oversight of automated processes. Moreover, the project also aims to learn from best practices, develop collective bargaining strategies and provide recommendations for trade unions, workers’ representatives and employers negotiate the conditions under which AM and AI systems are used.


Head of consortium:

Centre d’Estudis Sociològics sobre la Vida Quotidiana i el Treball (QUIT) - Universitat Autònoma de Barcelona - Spain

Further participants: 

Zentrum für Soziale innovation (ZSI) - Austria

Employment Relations Research Centre (FAOS) - Denmark

Wissenschaftszentrum Berlin für Sozialforschung gGmbH - Germany