Research output per year
Research output per year
Project Details
Description
The General Data Protection Regulation (GDPR) is an EU law that requires organisations to safeguard personal data and uphold the privacy rights of anyone in EU territory. Citizen scientists can play a valuable role in ensuring privacy and providing a better understanding of what information is tracked online. The EU-funded CSI-COP project will mobilise citizen scientists from across Europe and beyond to investigate the different types of trackers in cookies and apps. Moreover, it will develop methods to preserve privacy in the collection of data. The project will offer training material to informally instruct citizen scientists on the GDPR, aiming to produce a taxonomy of trackers that will subsequently be used to create an open-access repository.
| Acronym | CSI-COP |
|---|---|
| Status | Finished |
| Effective start/end date | 1/01/20 → 31/08/23 |
Collaborative partners
- Coventry University (Coordinator) (lead)
- University of Patras (UPatras) (Project partner)
- Association of Hungarian Women in Science (NaTE) (Project partner)
- Tilburg University Foundation (Project partner)
- University of Oulu (Project partner)
- Bar-Ilan University (BIU) (Project partner)
- Trust in Digital Life (Project partner)
- Ceské Vysoké Uceni Technické v Praze (Project partner)
- Stelar Security Technology Law Research UG (Project partner)
- Immer Besser GMBH (Project partner)
- Universitat Autònoma de Barcelona (UAB) (Project partner)
Funding
- European Commission (EC): €1,999,140.00
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Research output
- 1 Article
-
Approximate and situated causality in deep learning
Vallverdú, J., Mar 2020, In: Philosophies. 5, 1, p. 1-12 12 p., 2.Research output: Contribution to journal › Article › Research › peer-review
Open Access17 Link opens in a new tab Citations (Scopus)