Challenges and Opportunities in Data Visualization Education: A Call to Action

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  • 2308.07703v1

    Accepted author manuscript, 1.04 MB, PDF document



  • Benjamin Bach
    University of Edinburgh
  • Mandy Keck
    FH Upper Austria, University of Applied Sciences
  • Fateme Rajabiyazdi
    Carleton University
  • Tatiana Losev
    Simon Fraser University
  • Isabel Meirelles
    OCAD University
  • Jason Dykes
    City University of London
  • Robert S. Laramee
    University of Nottingham
  • Mashael AlKadi
    University of Edinburgh
  • Christina Stoiber
    St. Pölten University of Applied Sciences
  • Samuel Huron
    Télécom Paris
  • Charles Perin
    University of Victoria
  • Luiz Morais
    Voxar Labs
  • Wolfgang Aigner
    Vienna University of Technology
  • Doris Kosminsky
    Universidade Federal do Rio de Janeiro
  • Magdalena Boucher
    St. Pölten University of Applied Sciences
  • Søren Knudsen
    IT University of Copenhagen
  • Areti Manataki
    University of St. Andrews
  • Jan Aerts
    Hasselt University
  • Uta Hinrichs
    University of Edinburgh
  • Jonathan C. Roberts
  • Sheelagh Carpendale
    Simon Fraser University
This paper is a call to action for research and discussion on data visualization education. As visualization evolves and spreads through our professional and personal lives, we need to understand how to support and empower a broad and diverse community of learners in visualization. Data Visualization is a diverse and dynamic discipline that combines knowledge from different fields, is tailored to suit diverse audiences and contexts, and frequently incorporates tacit knowledge. This complex nature leads to a series of interrelated challenges for data visualization education. Driven by a lack of consolidated knowledge, overview, and orientation for visualization education, the 21 authors of this paper—educators and researchers in data visualization—identify and describe 19 challenges informed by our collective practical experience. We organize these challenges around seven themes People, Goals & Assessment, Environment, Motivation, Methods, Materials, and Change. Across these themes, we formulate 43 research questions to address these challenges. As part of our call to action, we then conclude with 5 cross-cutting opportunities and respective action items: embrace DIVERSITY+INCLUSION, build COMMUNITIES, conduct RESEARCH, act AGILE, and relish RESPONSIBILITY. We aim to inspire researchers, educators and learners to drive visualization education forward and discuss why, how, who and where we educate, as we learn to use visualization to address challenges across many scales and many domains in a rapidly changing world:


  • Data Visualisation, Education, pedagogic research, Challenges, Grand challenges, Information Visualisation, Scientific Visualisation, Diversity, Inclusion, Responsible innovation
Original languageEnglish
Pages (from-to)649-660
Number of pages12
JournalIEEE Transactions on visualization and computer graphics
Publication statusPublished - Jan 2024
EventIEEE VIS: Visualization & Visual Analytics: IEEE VIS 2023 - Melbourne Convention and Exhibition Centre, Melbourne, Australia
Duration: 22 Oct 202327 Oct 2023

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