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Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Foundations of Data Science : a comprehensive overview formed at the 1st International Symposium on the Science of Data Science
Authors: Schilling, Frank-Peter
Flumini, Dandolo
Füchslin, Rudolf Marcel
Gavagnin, Elena
Geller, Armando
Quarteroni, Silvia
Stadelmann, Thilo
et. al: No
DOI: 10.21256/zhaw-24982
Published in: Archives of Data Science, Series A
Volume(Issue): 8
Issue: 2
Issue Date: 13-May-2022
Publisher / Ed. Institution: KIT Scientific Publishing
ISSN: 2363-9881
Language: English
Subjects: Data science; Fundamentals; Science of data science; ISSDS 2021
Subject (DDC): 005: Computer programming, programs and data
Abstract: We present a summary of the 1st International Symposium on the Science of Data Science, organized in Summer 2021 as a satellite event of the 8th Swiss Conference on Data Science held in Lucerne, Switzerland. We discuss what establishes the scientific core of the discipline of data science by introducing the corresponding research question, providing a concise overview of relevant related prior work, followed by a summary of the individual workshop contributions. Finally, we expand on the common views which were formed during the extensive workshop discussions.
Fulltext version: Accepted version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
School of Management and Law
Organisational Unit: Centre for Artificial Intelligence (CAI)
Institute of Applied Mathematics and Physics (IAMP)
Institute of Business Information Technology (IWI)
Appears in collections:Publikationen School of Engineering

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