Connecting the Amsterdam Data Science & AI ecosystem

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Connecting the Amsterdam Data Science & AI ecosystem

Upcoming events

  1. ICAI: The Labs -AI for Computer Vision in the NL

    On 6th of October between 12:00 and 13:00, ‘ ICAI: The Labs’ will have a meetup on AI for computer vision in the Netherlands. Two labs each present their work and discuss challenges and developments in this field.

  2. Responsible AI Conference

    Join ALLAI for the second edition of the ALLAI Responsible AI Conference on 11.10.22 (15h-19h) at LAB42 (Amsterdam Science Park). The official opening event of WorldAIWeek 2022. Since the first edition of ALLAI’s Responsible AI Conference in 2019, the world has seen many great initiatives to ensure that AI is developed and used responsibly. During this second edition we will reflect on the state of play of responsible AI.

  3. World Summit AI | Amsterdam

    World Summit AI is a global gathering of the AI Ecosystem that brings Enterprise, Big Tech, Startups, Investors and Science together.

Latest News & Blog

  • ADS Thesis Awards 2022

    The ADS Thesis Awards aim to promote excellence in Data Science and AI from students at BSc and Master level. The Awards are open to students from all Amsterdam-based knowledge institutes.

  • Join LAB42’s Grand Opening on the 22nd of September

    On the 22nd of September LAB42 will host its Grand Opening from 15:00 onwards. LAB42 is an international hub for developing talent in the fields of digital innovation and AI. The building is the result of a partnership between the UvA, the municipality of Amsterdam and the business sector.

  • Register for the Data Science Day on the 13th of October

    The UvA Data Science Centre, part of the University Library, is pleased to host its second yearly Data Science Day on the 13th of October 2022.

  • Managing/Being a Master’s Student during a Pandemic

    For the past five years, Elsevier has been an enthusiastic participant in the UvA Master’s Student programme. In total, more than 45 students have been supervised by researchers across the company, which has led to 12 new recruits for our Data Science teams.

    • Magdalena Mladenova
      Magdalena Mladenova
    • Anita de Waard
      Anita de Waard
    • Thom Pijnenburg
      Thom Pijnenburg