Paul-Olivier Dehaye
Biographic Data
| ID | 4168331 |
|---|---|
| NAME | Paul-Olivier Dehaye |
| GIVEN NAMES | Paul-Olivier |
| FAMILY NAME | Dehaye |
| SIGNATURE | DEHAYE P |
| AFFILIATIONS | PersonalData.IO, Geneva, Switzerland |
| ORCID | 0000-0002-0907-1927 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Gaining transparency in Uber’s algorithmic management
This empirical study sheds light on Uber’s algorithmic management and provides the first calculation of working time with Uber drivers in Paris to understand the way digital platforms transform the temporalities of work. Based on the personal data of 12 Parisian Uber drivers, we show how Uber organizes drivers’ work through the allocation of trips and calculation of distances according to three distinct working-time units: “searching for, approac…
Governing work through personal data
This article presents an ethnographic account of the advocacy initiative, conducted by NGO PersonalData.IO and the company Hestia.ai, that seeks to empower gig workers by helping them regain access to their personal data through data access rights, using the European Union General Data Protection Regulation. It is based on a case study of Uber drivers in Geneva that has a worldwide relevance for the gig economy. Previously self-employed, drivers …
Towards Rawlsian ‘property-owning democracy’ through personal data platform cooperatives
This paper supports the personal data platform cooperative as a means of bringing about John Rawls’s favoured institutional realisation of a just society, the property-owning democracy. It describes personal data platform cooperatives and applies Rawls’s political philosophy to analyse the institutional forms of a just society in relation to the economic power deriving from aggregating personal data. It argues that a society involving a significa…
Towards Rawlsian ‘property-owning democracy’ through personal data platform cooperatives
This paper supports the personal data platform cooperative as a means of bringing about John Rawls’s favoured institutional realisation of a just society, the property-owning democracy. It describes personal data platform cooperatives and applies Rawls’s political philosophy to analyse the institutional forms of a just society in relation to the economic power deriving from aggregating personal data. It argues that a society involving a significa…
Towards Rawlsian ‘property-owning democracy’ through personal data platform cooperatives
This paper supports the personal data platform cooperative as a means of bringing about John Rawls’s favoured institutional realisation of a just society, the property-owning democracy. It describes personal data platform cooperatives and applies Rawls’s political philosophy to analyse the institutional forms of a just society in relation to the economic power deriving from aggregating personal data. It argues that a society involving a significa…
Governing work through personal data
This article presents an ethnographic account of the advocacy initiative, conducted by NGO PersonalData.IO and the company Hestia.ai, that seeks to empower gig workers by helping them regain access to their personal data through data access rights, using the European Union General Data Protection Regulation. It is based on a case study of Uber drivers in Geneva that has a worldwide relevance for the gig economy. Previously self-employed, drivers …
Gaining transparency in Uber’s algorithmic management
This empirical study sheds light on Uber’s algorithmic management and provides the first calculation of working time with Uber drivers in Paris to understand the way digital platforms transform the temporalities of work. Based on the personal data of 12 Parisian Uber drivers, we show how Uber organizes drivers’ work through the allocation of trips and calculation of distances according to three distinct working-time units: “searching for, approac…
Computer Science (3 works) · Digital Economy and Work Transformation (3 works) · Big data (1 work) · Blockchain Technology Applications and Security (1 work) · Business (1 work) · Computer security (1 work) · Data mining (1 work) · Data science (1 work) · Democracy (1 work) · Economic system (1 work)