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

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.
Type de document :
Communication dans un congrès
Design 2018 Conference, May 2018, Dubrovnik, Croatia
Liste complète des métadonnées

Littérature citée [31 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01787696
Contributeur : Yohann Sitruk <>
Soumis le : lundi 7 mai 2018 - 17:14:53
Dernière modification le : lundi 12 novembre 2018 - 11:02:36
Document(s) archivé(s) le : lundi 24 septembre 2018 - 12:32:48

Fichier

Sitruk Kazakçi 2018 - Crowd-...
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01787696, version 1

Citation

Yohann Sitruk, Akin Kazakçi. CROWD-BASED DATA-DRIVEN HYPOTHESIS GENERATION FROM DATA AND THE ORGANISATION OF PARTICIPATIVE SCIENTIFIC PROCESS. Design 2018 Conference, May 2018, Dubrovnik, Croatia. 〈hal-01787696〉

Partager

Métriques

Consultations de la notice

111

Téléchargements de fichiers

97