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A group of smiling people wearing lanyards stand in front of a white building.
H2020 RISE NeEDS Modelling Week/EURO PhD School on Data Driven Decision Making and Optimization at Universidad de Sevilla, Spain, June 13-22, 2022 © Dolores Romero Morales, 2022

ProjectNeEDS

Helping Europe’s workers visualise complex data

Research and Innovation Staff Exchange Network of European Data Scientists (NeEDS)

"As data-driven decision-making increasingly affects citizens, from financial services to public administration, models must be not only accurate, but also transparent and explainable. NeEDS responded with innovative mathematical modelling and advanced optimisation methods to develop Data Science tools that make complex algorithms more interpretable, trustworthy and aligned with European values." - Prof. Dolores Romero Morales

Project impact

Many of Europe’s professional workers need to use complex data in their work, even when they don’t really have any expertise in this area. By bringing together experts from academia, industry and the public sector, the NeEDS project built up European capacity to explain data including through the use of AI. AI often works like a black box – producing results without explaining how. The project sought to open up this ‘black box’ by ensuring that the models were transparent and able to explain the reasoning behind their decisions – an approach known as explainable AI. In order to do this, the project developed advanced mathematical models that made data easier to interpret, building trust in the results generated by AI while also keeping it in line with European values of data protection, privacy and transparency. By the end of the project, the researchers were working to enlarge the set of data science tools for both researchers and non-specialist data users, while also providing their expertise to industry.

  • Coordinator

    Denmark

    Copenhagen Business School

  • Participating and partners countries

    • Belgium
      • Katholieke Universiteit Leuven
      • Ageas SA
    • Denmark
      • Danmarks Statistik
      • DSB
    • Netherlands
      • Centraal Bureau voor de Statistiek
    • Spain
      • Universidad de Sevilla
      • Inetum España S.A.
      • Repsol SA
      • Carto Geographic Information System Sociedad Limitada
    • United Kingdom
      • The Chancellor, Masters and Scholars of the University of Oxford
      • Tesco Stores Limited

    • Chile
      • Universidad de Chile
      • Banco del Estado de Chile
    • USA
      • Duke University