Events

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Past events

  • BDVA General Assembly (GA22)

    Event date: 
    Thursday, 26 November, 2020
    Place: 
    Online meeting.

    BDVA General Assembly (GA22)

    (For official member representatives only)

    Online meeting, 9:15AM - 14:00PM CET

    More information here.

    Event type: 
    BDVA

  • EBDVF 2020 (Berlin)

    Event date: 
    Tuesday, 3 November, 2020 to Thursday, 5 November, 2020
    Place: 
    Berlin, Germany.

    3-5 November 2020

    European Big Data Value Forum (EBDVF) is the flagship event of the European Big Data and Data-Driven AI Research and Innovation community organized by the Big Data Value Association (BDVA) and the European Commission (DG CNECT) in close collaboration with local organizations. EBDVF2020 will take place in November in Berlin, Germany.

    Further information available here.

    Event type: 
    BDVA

  • BDVA Activity Group Workshop

    Event date: 
    Friday, 10 July, 2020
    Place: 
    Webinar

    BDVA Online Activity Group Workshop on SRIDA update

    July 10, 2020

    9:15 am - 16:00 pm CEST

    More information here.

     

    Event type: 
    BDVA

  • BDVA General Assembly

    Event date: 
    Wednesday, 8 July, 2020
    Place: 
    Webinar

     

    BDVA General Assembly

    July 8, 2020

    9.30am - 13:00 pm CEST

    More information here.

    Event type: 
    BDVA

  • SIMPLIFY Data Analytics and Machine Learning Made Simple

    Event date: 
    Thursday, 11 June, 2020
    Place: 
    Webinar

    11th June 10:00 AM - 11:00 AM CESTThe main goal of webinar is to showcase approaches that greatly simplify the work of a data analyst when performing data analytics, or when employing machine learning algorithms, over Big Data.Registration and more information here.

    Event type: 
    BDVA

  • How to exchange and grant access to health data in a secure way: approaches and recommendations

    Event date: 
    Thursday, 14 May, 2020
    Place: 
    Webinar

    Thursday, May 14 2020

    The health crisis due to COVID-19 is shaping a new reality in which the exchange and access to health data in a secure way will be more and more necessary. In this complex challenge converge both the respect for the individual rights as well as the interests of the patients and the need to promote the research in pursuit of the public interest. To face this challenge, we can find different approaches across Europe. In this webinar, we will present the experiences of three EU-funded projects (BigMedilytics, BodyPass, and DeepHealth), besides an overview of the legal framework and recommendations to enforce both national regulations and GDPR by an expert in data privacy and security.

    More information here.

    Event type: 
    BDVA

  • FinTech and InsuranceTech case studies digitally transforming Europe's future with BigData and AI driven innovation

    Event date: 
    Thursday, 14 May, 2020
    Place: 
    Webinar

    Thursday, May 14 2020

    14:00h-16:00 CEST

    The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. The insurance and finance services industry is rapidly transformed by data-intensive operations and applications. FinTech and InsuranceTech combine very large datasets from legacy banking systems with other data sources such as financial markets data, regulatory datasets, real-time retail transactions, and more, improving financial services and activities for customers.

    More information available here.

    Event type: 
    BDVA

  • HPC, Big Data, IoT and AI future industry-driven collaborative strategic topics

    Event date: 
    Tuesday, 5 May, 2020
    Place: 
    Webinar

    Tuesday, May 5 2020

    14:00h - 17:00h

    This session aims to analyze in-depth the challenges, limitations and longer-term perspectives of these pilots as well as other existing relevant ongoing projects and activities in other programmes. Based on this analysis, the aim is to outline future research and innovation needs in terms of convergence and alignment of the basic technologies and their utilization in industry and especially SMEs. Outcomes of this workshop will be relevant for the future research and innovation activities in both the EuroHPC JU, and the AI, Data, and Robotics Partnership, and are meant to support alignment in between both partnerships.

    More information available here.

    Event type: 
    BDVA

  • BDVA Covid-19 Webinar: VODAN

    Event date: 
    Wednesday, 29 April, 2020
    Place: 
    Webinar

    BDVA organises, with the support of GO FAiR, CODATA and the Philips Foundation, a webinar on April 29th at 14h CEST to raise more awareness about this initiative.  The VODAN Implementation Network is one of the joint activities carried out by CODATA, RDA, WDS, and GO FAIR. The purpose of the Implementation Network is to make the SARS CoV-2 virus data FAIR, meaning that they are Findable, Accessible, Interoperable and thus Reusable by both humans and machines, during this epidemic of COVID-19.

    Read more about VODAN here: https://www.go-fair.org/implementation-networks/overview/vodan/ 

    Webinar: Virus Outbreak Data Network (VODAN) - Introduction and implementations

    Date: April 29th, 2020. 14h to 15h CEST

    Registration: https://attendee.gotowebinar.com/register/2157671029663782416

    Agenda:

    • Introductory note. Prof. Dr. Milan Petkovic (Department head Data Science at Philips; Professor at TU/e; Vice President at BDVA) (5 min)
    • Introduction to GO FAIR. Prof. Dr. Barend (Professor at Leiden University Medical Center, Ambassador of GO FAIR, President of CODATA) (10 min)
    • VODAN. Prof. Dr. Barend (Professor at Leiden University Medical Center, Ambassador of GO FAIR, President of CODATA) (15 min)
    • A VODAN implementation case by Philips Foundation. 
      • Prof. Mirjam van Reisen (Professor International Relations and Innovation, Tilburg University & Leiden University) (10 min)
      • Hans Hofstraat (VP at Philips Research, Royal Philips) (10 min)
    • Q&A (10 min)
    Event type: 
    BDVA

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