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Proceedings of the 2021 Swedish Workshop on Data Science (SweDS): Växjö, SwedenDecember 2–3, 2021
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (ISOVIS;DISA-VAESS)ORCID iD: 0000-0002-2901-935X
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (DISA;Data Driven Software;Informat Qual Grp)ORCID iD: 0000-0003-1173-5187
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Katholieke Universiteit Leuven, Belgium. (AdaptWise;DISA)ORCID iD: 0000-0002-1162-0817
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). Linköping University, Sweden. (ISOVIS;DISA-VAESS;DISA-DH)ORCID iD: 0000-0002-1907-7820
2021 (English)Conference proceedings (editor) (Refereed)
Abstract [en]

Welcome to the 9th Swedish Workshop on Data Science (SweDS21) held (virtually) in Växjö, Sweden during December 2–3, 2021. SweDS is a national event with a focus of maintaining and developing Swedish data science research and its applications by fostering the exchange of ideas and promoting collaboration within and across disciplines. This annual workshop brings together researchers and practitioners of data science working in a variety of academic, commercial, industrial, or other sectors. The current and past workshops have included presentations from a variety of domains, e.g., computer science, linguistics, eco- nomics, archaeology, environmental science, education, journalism, medicine, healthcare, biology, sociology, psychology, history, physics, chemistry, geography, forestry, design, and music. SweDS is hosted by Linnaeus University (Växjö, Sweden) this year. Due to the yet ongoing COVID-19 pandemic, travel restrictions, and public health concerns, the workshop is conducted online-only, which has allowed authors both within and outside of Sweden to submit and present their work. 

Place, publisher, year, edition, pages
IEEE, 2021.
Keywords [en]
data science
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-108364DOI: 10.1109/SweDS53855.2021ISBN: 9781665418300 (electronic)OAI: oai:DiVA.org:lnu-108364DiVA, id: diva2:1616692
Conference
2021 Swedish Workshop on Data Science (SweDS), Växjö, Sweden, December 2-3, 2021
Projects
DISAAvailable from: 2021-12-03 Created: 2021-12-03 Last updated: 2022-02-28Bibliographically approved

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Martins, Rafael MessiasEricsson, MorganWeyns, DannyKucher, Kostiantyn

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