SORS: Artificial Intelligence and Big Data management: the dynamic duo for moving forward data centric sciences

Date: 25/May/2017 Time: 10:00


Sala de Juntas de la FIB, building B6, Campus Nord, Barcelona

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15th December 2022. 10:30 am. UPC's Vèrtex Building Auditorium + Gardens & Virtual

We are looking forward to celebrating the BSC staff annual meeting this year.

As in the previous edition, the event will be online and shorter.

The event will begin on December 15th at 10:30 am. We will send you a link nearer the time so you can connect.

Even more than normal, we hope that as many BSC staff as possible will be able to attend and participate.

You can participate by telling us:

What you would like to know about?

Let us know which subjects you find interesting to be incorporated into the BSC directors’ presentations.
Deadline exceeded

What would you like to listen to?

What you would like to share?

We would like to know more about your work, so we have booked one hour of the Annual Meeting to listen to 6 BSC employees that will explain what they do. We encourage you to be one of them.

What I would like to explain

Coming soon

 BSC Talks

We have booked time for 6 employees to explain in 6 minutes what you do at BSC.

The event will be VIRTUAL but the BSC Talks will be presented from the studio where the event is taking place.

We would like you to make short, attractive presentations (6 minutes) so all the BSC staff know what you do.

You could be one of those to go up the stage, and we will help you to prepare it.

What will you need to do?

  1. Let us know about what you would like to explain.
    • Send us a short video (landscape) of 45 seconds’ maximum explaining what you would like to present at
    • State your name, department, research group and a provisional title for your talk.
    • Deadline: November 29th.
  2. All the BSC staff will vote for the 6 most interesting proposals.
    • All videos will be available at the web page and the voting process will be open. Each employee will be able to vote up to 3 proposals.
  3. If your proposal is one of the chosen ones:
    • A training session will be organized for the 6 most voted.
  4. Prepare a 6 minutes’ presentation.
  5. The best presentation of December 15th will be awarded!

Directors’ presentation of 2022

We would like to know what subjects you are interested in so as to incorporate them in the directors’ presentation of the center. Fill in this form with your questions.


Speaker: Dr. Genoveva Vargas Solar, Centre National de la Recherche Scientifique, BSC Severo Ochoa Research Visitor

Presentation can be viewed here

Abstract: After vivid discussions led by the emergence of the buzzword “Big Data”, it seems that industry and academia have reached an objective understanding about data properties (volume, velocity, variety, veracity and value), the resources and “know how” it requires, and the opportunities it opens. Indeed, new applications promising fundamental changes in society, industry and science, include face recognition, machine translation, digital assistants, self-driving cars, ad-serving, chat-bots, personalized healthcare, smart industry and more.

The first lesson of the era of “Big Data” is that it is possible to access and exploit representative “samples” of available data collections thanks to the availability of the necessary resources for storing it and running greedy processing tasks on it. The second lesson is that computer science and mathematics disciplines must generate synergy with other sciences in order to exploit these new available “value”. The consequence is the emergence of “new” data centric sciences: data science, digital humanities, social data science, network science, computational science. These sciences with their new requirements and challenges call for a need to revisit the fundaments of databases, artificial intelligence and other disciplines used for addressing them with new perspectives.

This novel and multidisciplinary data centric and scientific movement, promises new and not yet imagined applications that rely on massive amounts of evolving data that need to be cleaned, integrated and analysed for modelling purposes. Yet, data management issues are not usually perceived as central. In this lecture I will explore the key challenges and opportunities for data management in this new scientific world, and discuss how a possible data centric artificial intelligence community can best contribute to these exciting domains. If the moto is not academic, huge numbers of dollars being devoted to related applications are moving industry and academia to analyse these directions.