MARVEL at DataWeek 2022

Data Week 2022 was held both online (May 25th to June 3rd) and physically (June 8th – 9th) this year. Data Week is the spring gathering of the European Big Data and Data Driven AI research and innovation communities, where the participants share knowledge and results, discuss topics of common interest, find synergies, build new collaborations and identify new challenges and recommendations. Data Week is co-organized by Big Data Value Association and the EUHubs4Data project. This year’s main theme was “Towards an innovative, trusted, and fair European data economy”.

On Wednesday, May 25th, MARVEL’s Project Coordinator Prof. Sotiris Ioannidis e-welcomed Dr. Manfredo Atzori, Scientific Coordinator of ExaMode, Dr. Nikolaos Passalis, Technical Manager of OpenDR, and Dr. Paulo Figueiras, senior Researcher of VesselAI at a workshop where they explored “The challenges of the extreme-scale multi-modal analytics applications” in the context of the research projects they participate. The session explored the latest EU research outcomes related to Extreme Data Analytics applications in smart cities, healthcare, robotics, and the maritime industry. The participants focused on the key challenges addressed in each sector in an effort to showcase the lessons they learned the hard way and encourage other researchers to take them into consideration.
In particular, the key outcomes of the session were:

    • Pay attention to ethics and privacy concerns and account for a dedicated task on this topic which is a matter of high concern for all users.
    • Integration is always complex. Do not try to do everything in parallel, rather pace your integration, especially if you are dealing with Edge – Fog – Cloud continuum.
    • Reserve time for proper benchmarking and validation.
    • Consider earlier versions of software solutions. They may not have the latest features in place, but they are more stable and more predictable.
    • Allocate a task for data annotation since it is time-consuming and needs a lot of effort.
    • Active perception using re-enforcement learning: Aggressive word shaping may be required and also consider supervised approaches.
    • Interacting with clinical partners was challenging due to the Covid-19 pandemic.
    • Need to be up-to-date with regards to new technologies’ advancements and be able to quickly adapt/integrate them into the pipelines of the project.
    • Projects my face problems with respect to the time plan that was designed during the proposal shaping. If you do not have an HPC infrastructure ready in place when the project starts then keep in mind that it will need a significant amount of time to be ready for running/training your solutions. Other options should be considered in order not to delay the development of the project.

Watch the recordings of the Session

This video is part of the audio-visual recordings made by the organizers of #DATAWEEK2022 and was provided to us by BDVA upon request.

You can also download the slides from the  presentations given during the session here

118 people attended the session and actively participated in the discussion with questions during the last half hour of the session.

Feel free to reach out as well if you have any questions by filling in our contact form or by using our social media. You will find us on Twitter, LinkedIn, and YouTube.

For more direct updates follow us on LinkedIn and Twitter. For regular updates including a collection of news and relevant information sign up on our Newsletter here.



Key Facts

  • Project Coordinator: Dr. Sotiris Ioannidis
  • Institution: Foundation for Research and Technology Hellas (FORTH)
  • E-mail: marvel-info{at} 
  • Start: 01.01.2021
  • Duration: 36 months
  • Participating Organisations: 17
  • Number of countries: 12

Get Connected



This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under grant agreement No 957337. The website reflects only the view of the author(s) and the Commission is not responsible for any use that may be made of the information it contains.