Forskningsoutput per år
Forskningsoutput per år
Doktorand
With the emergence of machine learning (ML) techniques into Industry 4.0 applications, increasing volumes of data are required to train ML applications. The project I am working on explores novel business models for business-to-business (B2B) data sharing and designs new methods and tools to govern data sharing – supporting data ecosystems. My end goal is to design technical solutions to support versioning, encryption, differential privacy, licensing, maintaining and collaborating around shared data sets.
Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review
Runeson, P. (Forskare), Kowalkowski, C. (Forskare), Malysh, K. (Forskarstuderande) & Ahmed, T. (Forskarstuderande)
Swedish Government Agency for Innovation Systems (Vinnova)
2021/03/01 → 2026/02/28
Projekt: Forskning