2 research outputs found
Data Science as a New Frontier for Design
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.Comment: International Conference on Engineering Design, Jul 2015, Milan,
Ital