To ensure decent work conditions as automation continues to expand, knowledge about the effects of ghost work on well-being is urgently needed. The project will develop and test an integrative framework for analysing the effects of ghost work on worker’s well-being. Existing models for analysing the impact of work conditions on well-being fall short for studying ghost work, as these models assume a person has a job and most likely an employer and colleagues. Therefore, this project begins from the specificities of ghost work to synthesize theories and concepts about algorithmic control, occupational well-being, human computation, and platform labour, in order to understand how and through which mechanisms ghost work influences well-being. The project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 101003134). The project contributes to interdisciplinary scholarship in platform labour and organisational studies of algorithmic technologies. Employing a multi-methodological approach, it begins with in-depth interview-based fieldwork on ghostworkers’ work conditions. This is followed by qualitative diary studies tracking the short-term dynamics of ghost work’s effect on job conditions and wellbeing. Finally, a four-wave longitudinal panel study will explore the relationship between ghost work and wellbeing over time. The resulting integrative framework and empirical findings will capture the attention of scholars across various fields, policymakers, and industry leaders.