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Data Week 2022

Towards an innovative, trusted and fair European data economy

Towards an innovative, trusted and fair European data economy

  • Launch online event: May 24th
  • Online workshops and local physical workshops in hubs: May 25th – June 3rd
  • Physical event Data Week: June 8th – 9th (Naples, Italy)
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Data Week is the spring gathering of the European Big Data and Data Driven AI research and innovation communities. In Data Week, the participants share knowledge and results, discuss topics of common interest, find synergies, build new collaborations and identify new challenges and recommendations. Data Week also links the communities and their results to the European policies and market needs and brings European initiatives and activities closer to local communities.

Data Week 2022 will take place during a period of 2-3 weeks. An online opening event will kick-start the activities on the 24th of May. The event weeks includes local events organized by the BDVA i-Spaces and international online sessions/workshops by the community, running until June 3rd. Finally, Data Week culminates at the 2-day physical event on June 8th and 9th at Naples, Italy, where the major topics discussed throughout the event weeks will be tackled through keynotes, panels, round tables and presentations by experts.

The online activities for the Data Week are free of charge, requiring only registration. The physical conference will have an entry fee. Registrations will open in April, so stay tuned!

Data Week 2022 main theme is “Towards an innovative, trusted and fair European data economy”.

Register

Use this form to register for the in-person event in Naples, Italy on 8th - 9th of June.

Get your ticket to Naples!

Register for online sessions!

Registration for the online sessions will open on Wednesday 4th of May!

In collaboration with

Data Week is co-organised by Big Data Value Association and the EUHubs4Data project. This year’s edition is organised in collaboration with CEA, Poznan Super Computing and Networking Center, Engineering and Meditech Competence Center I4.0.

This post has originally been published on the Big Data Value website