The Challenges of Knowledge Combination in ML-based Crowdsourcing – The ODF Killer Shrimp Challenge using ML and Kaggle

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dc.contributor.author Bumann, Adrian
dc.contributor.author Teigland, Robin
dc.date.accessioned 2020-12-24T20:01:47Z
dc.date.available 2020-12-24T20:01:47Z
dc.date.issued 2021-01-05
dc.description.abstract Organizations are increasingly using digital technologies, such as crowdsourcing platforms and machine learning, to tackle innovation challenges. These technologies often require the combination of heterogeneous technical and domain-specific knowledge from diverse actors to achieve the organization’s innovation goals. While research has focused on knowledge combination for relatively simple tasks on crowdsourcing platforms and within ML-based innovation, we know little about how knowledge is combined in emerging innovation approaches incorporating ML and crowdsourcing to solve domain-specific innovation challenges. Thus, this paper investigates the following: What are the challenges to knowledge combination in domain-specific ML-based crowdsourcing? We conducted a case study of an environmental challenge – how to use ML to predict the spread of a marine invasive species, led by the Swedish consortium, Ocean Data Factory Sweden using the crowdsourcing platform Kaggle. After discussing our results, we end the paper with recommendations on how to integrate crowdsourcing into domain-specific digital innovation processes.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2021.599
dc.identifier.isbn 978-0-9981331-4-0
dc.identifier.uri http://hdl.handle.net/10125/71217
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Emerging Trends in Crowd Science
dc.subject crowdsourcing
dc.subject digital innovation
dc.subject knowledge combination
dc.subject machine learning
dc.subject problem-solving
dc.title The Challenges of Knowledge Combination in ML-based Crowdsourcing – The ODF Killer Shrimp Challenge using ML and Kaggle
prism.startingpage 4930
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