DISTRIBUTED EXPERIMENTS IN DESIGN SCIENCES, A NEXT STEP IN DESIGN OBSERVATION STUDIES?
Editor: Christian Weber, Stephan Husung, Marco Cantamessa, Gaetano Cascini, Dorian Marjanovic, Srinivasan Venkataraman
Author: Kriesi, Carlo; Steinert, Martin; Aalto-Setaelae, Laura; Anvik, Anders; Balters, Stephanie; Baracchi, Alessia; Bisballe Jensen, Matilde; Bjørkli, Leif Erik; Buzzaccaro, Nicolo; Cortesi, Dario; D'Onghia, Francesco; Dosi, Clio; Franchini, Giulia; Fuchs, Matt; Gerstenberg, Achim; Hansen, Erik; Hiekkanen, Karri Matias; Hyde, David; Ituarte, Iñigo; Kalasniemi, Jani; Kurikka, Joona; Lanza, Irene; Laurila, Anssi; Lee, Tik Ho; Lønvik, Siri; Mansikka-Aho, Anniina; Nordberg, Markus; Oinonen, Paeivi; Pedrelli, Luca; Pekuri, Anna; Rane, Enna; Reime, Thov; Repokari, Lauri; Rønningen, Martin; Rowlands, Stephanie; Sjöman, Heikki; Slåttsveen, Kristoffer; Strachan, Andy; Strømstad, Kirsti; Suren, Stian; Tapio, Peter; Utriainen, Tuuli; Vignoli, Matteo; Vijaykumar, Saurabh; Welo, Torgeir; Wulvik, Andreas
Institution: 1: NTNU Trondheim, Norway; 2: Aalto University, Finland; 3: Unimore, Italy; 4: CERN, Switzerland; 5: Swinburne University of Technology, Australia; 6: Tampere University of Technology, Finland
Section: Design Theory and Research Methodology, Design Processes
This paper describes and proposes a new method for conducting globally distributed design research. Instead of using e.g. a software we tried out a completely analogue approach: Five carefully prepared packages, containing all the necessary materials and instructions for a design challenge, were sent out to supervisors in Norway, Finland, Italy, and Australia. These local supervisors then conducted the egg-drop exercise with students that are part of an international course held at CERN. As the task is conducted according to a previously tested protocol, the results gathered with this new method can then be benchmarked with this available data. This new approach to globally conducted engineering design activities avoids local bias and enables for gathering large amounts of diverse data points. One can also think of a research community where every member can send out one experiment per year and, in return, receives data points from across the world.
Based on the feedback from the supervisors we can say that from an organisational standpoint of view, this method works well. The comparison to the existing data has yet to be done.