DATA SCIENCE AS A NEW FRONTIER FOR DESIGN

Akin Osman (1) , Kazakçi Mines (1)

1 CGS i3 - Centre de Gestion Scientifique i3

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.

Mots clés: open innovation; design methods; design theory; HiggsML; data challenge

Domaines: Intelligence artificielle [cs.AI]; Applications [stat.AP]; Machine Learning [stat.ML]; Méthodologie [stat.ME]

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