Data Exploration for Generative Design Research

Peter Kun, Ingrid Mulder, Gerd Kortuem

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearch

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The current work elaborates upon a Generative Data Exploration method, which is a
design technique aiming at supporting designers in integrating data in their design
activities. Digital data offers new opportunities in all sort of professional domains, yet
existing approaches and tools to manipulate data are predominantly targeted at data
experts. As access to data is becoming democratised, new types of techniques are
needed to leverage the agency of designers and to empower them to utilise data in
the design process. Designers without prior data experience can benefit from the
techniques, know-how, best practices of experts, if such expert knowledge is codified
in design methods and tools. The aims of a Generative Data Exploration method are
two-fold. First, the method facilitates a learning curve on gaining holistic data literacy.
Second, the method supports designing where digital data, exploration of data and
sense-making of data is part of the process.
Original languageEnglish
Title of host publicationProceedings of the DRS 2018 International Conference: Catalyst
EditorsChristiano Storni, Keelin Leahy, Muireann McMahon, Peter Lloyd, Erik Bohemia
Place of PublicationLondon, UK
PublisherDesign Research Society
Publication date2018
ISBN (Electronic) 978-1-912294-19-0
Publication statusPublished - 2018
Externally publishedYes
EventDesign Research Society 2018: Catalyst - University of Limerick, Limerick, Ireland
Duration: 25 Jun 201828 Jun 2018


ConferenceDesign Research Society 2018
LocationUniversity of Limerick
Internet address


  • Design Methods
  • Data Exploration
  • generative design
  • Fuzzy front-end

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