CROWD-BASED DATA-DRIVEN HYPOTHESIS GENERATION FROM DATA AND THE ORGANISATION OF PARTICIPATIVE SCIENTIFIC PROCESS
Editor: Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N.
Author: Sitruk, Yohann; Kazakçi, Akin
Section: DESIGN INFORMATION AND KNOWLEDGE
DOI number: https://doi.org/10.21278/idc.2018.0510
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.