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In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.

CROWD-BASED DATA-DRIVEN HYPOTHESIS GENERATION FROM DATA AND THE ORGANISATION OF PARTICIPATIVE SCIENTIFIC PROCESS

Sitruk, Yohann; Kazakçi, Akin

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Type:
Papers
DS 92: Proceedings of the DESIGN 2018 15th International Design Conference
Year:
2018
Editor:
Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N.
Author:
Sitruk, Yohann; Kazakçi, Akin
Series:
DESIGN
Section:
DESIGN INFORMATION AND KNOWLEDGE
Page(s):
1673-1684
DOI number:
https://doi.org/10.21278/idc.2018.0510
Abstract:
In scientific process, hypothesis generation is one the most important steps where creativity is needed most. As the science becomes more open and data-driven, it becomes interesting to analyse whether a crowdsourcing approach might be beneficial in this step. First, we characterize the process as a design process. Then, based on a real-life case study, we analyse and highlight difficulties and challenges for crowd-based hypothesis generation. Last, we give a generic process model for organizing in similar challenges in other data-based scientific hypothesis generation contexts.
Keywords:
crowdsourcing, data driven design, design science, hypothesis generation
DESIGN 2018 - 15th International Design Conference
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