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Abstract : The purpose of this paper is to contribute to the challenge of transferring know-how, theories and methods from design research to the design processes in information science and technologies. More specifically, we shall consider a domain, namely data-science, that is becoming rapidly a globally invested research and development axis with strong imperatives for innovation given the data deluge we are currently facing. We argue that, in order to rise to the data-related challenges that the society is facing, data-science initiatives should ensure a renewal of traditional research methodologies that are still largely based on trial-error processes depending on the talent and insights of a single (or a restricted group of) researchers. It is our claim that design theories and methods can provide, at least to some extent, the much-needed framework. We will use a worldwide data-science challenge organized to study a technical problem in physics, namely the detection of Higgs boson, as a use case to demonstrate some of the ways in which design theory and methods can help in analyzing and shaping the innovation dynamics in such projects.
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Contributor : Akin Osman Kazakci Connect in order to contact the contributor
Submitted on : Friday, March 20, 2015 - 12:23:59 PM
Last modification on : Wednesday, November 17, 2021 - 12:31:20 PM
Long-term archiving on: : Monday, April 17, 2017 - 9:32:13 PM


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  • HAL Id : hal-01133767, version 1
  • ARXIV : 1503.06201


Akın Osman, Kazakçı Mines. DATA SCIENCE AS A NEW FRONTIER FOR DESIGN. International Conference on Engineering Design, Jul 2015, Milan, Italy. ⟨hal-01133767⟩



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