Crowdworking platforms facilitate diverse workers in executing tasks for various requesters, contributing to the growth of the gig economy and the emergence of competing and complementary independent platforms. This has led to the development of multi-platform crowdworking systems, where workers and requesters often engage with multiple platforms. Recently, there has been an increasing interest among governmental, legal, and social institutions in enforcing regulations, such as minimum and maximum work hours, on these platforms. Consequently, collaboration among platforms within multi-platform systems is essential to enforce these cross-platform regulations effectively. However, while such collaboration necessitates the transparent sharing of information regarding tasks and participants, it is crucial to preserve the privacy of all involved participants. This project aims to develop a system for regulating, preserving privacy, and structuring future multi-platform crowdworking environments. We propose a potential instance of a multi-platform crowdworking system capable of enforcing a significant subset of practical global regulations across distributed independent platforms while preserving privacy through the use of lightweight anonymous tokens and fault-tolerant protocols.
Mohammad Javad Amiri, Joris Duguépéroux, Tristan Allard, Divyakant Agrawal, Amr El Abbadi. “Separ: Towards Regulating Future of Work Multi-Platform Crowdworking Environments with Privacy Guarantees.” The Web Conference (WWW), 2021.
Mohammad Javad Amiri, Tristan Allard, Divyakant Agrawal, Amr El Abbadi. “PReVer: Towards Private Regulated Verified Data.” International Conference on Extending Database Technology (EDBT), 2022.
Mohammad Javad Amiri, Tristan Allard, Boon Thau Loo, Divyakant Agrawal, Amr El Abbadi.”Privacy Meets Regulations: Shaping the Future of Work.” Conference on Innovative Data Systems Research (CIDR), 2026.