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- W2945404560 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." @default.
- W2945404560 created "2019-05-29" @default.
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- W2945404560 date "2018-01-01" @default.
- W2945404560 modified "2023-09-27" @default.
- W2945404560 title "Crowd-Based Data-Driven Hypothesis Generation From Data And The Organisation Of Participative Scientific Process" @default.
- W2945404560 hasPublicationYear "2018" @default.
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