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  2. School of Engineering
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  4. Publikationen School of Engineering
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dc.contributor.authorStadelmann, Thilo-
dc.contributor.authorStockinger, Kurt-
dc.contributor.authorBraschler, Martin-
dc.contributor.authorCieliebak, Mark-
dc.contributor.authorBaudinot, Gerold-
dc.contributor.authorDürr, Oliver-
dc.contributor.authorRuckstuhl, Andreas-
dc.date.accessioned2018-03-22T10:06:06Z-
dc.date.available2018-03-22T10:06:06Z-
dc.date.issued2013-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/4172-
dc.description.abstractGoogle Trends and other IT fever charts rate Data Science among the most rapidly emerging and promising fields that expand around computer science. Although Data Science draws on content from established fields like artificial intelligence, statistics, databases, visualization and many more, industry is demanding for trained data scientists that no one seems able to deliver. This is due to the pace at which the field has expanded and the corresponding lack of curricula; the unique skill set, which is inherently multi-disciplinary; and the translation work (from the US web economy to other ecosystems) necessary to realize the recognized world-wide potential of applying analytics to all sorts of data. In this contribution we draw from our experiences in establishing an inter-disciplinary Data Science lab in order to highlight the challenges and potential remedies for Data Science in Europe. We discuss our role as academia in the light of the potential societal/economic impact as well as the challenges in organizational leadership tied to such inter-disciplinary work.de_CH
dc.language.isoende_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectData sciencede_CH
dc.subjectINITde_CH
dc.subjectMulti-disciplinaryde_CH
dc.subjectFintechde_CH
dc.subject.ddc004: Informatikde_CH
dc.subject.ddc020: Bibliotheks- und Informationswissenschaftde_CH
dc.titleApplied data science in Europe : challenges for academia in keeping up with a highly demanded topicde_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
zhaw.conference.details9th European Computer Science Summit, Amsterdam, Niederlande, 8-9 October 2013de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.title.proceedingsProceedings of the 9th European Computer Science Summitde_CH
zhaw.webfeedFinTechde_CH
zhaw.webfeedSoftware Systemsde_CH
zhaw.webfeedMachine Perception and Cognitionde_CH
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Stadelmann, T., Stockinger, K., Braschler, M., Cieliebak, M., Baudinot, G., Dürr, O., & Ruckstuhl, A. (2013). Applied data science in Europe : challenges for academia in keeping up with a highly demanded topic. Proceedings of the 9th European Computer Science Summit.
Stadelmann, T. et al. (2013) ‘Applied data science in Europe : challenges for academia in keeping up with a highly demanded topic’, in Proceedings of the 9th European Computer Science Summit.
T. Stadelmann et al., “Applied data science in Europe : challenges for academia in keeping up with a highly demanded topic,” in Proceedings of the 9th European Computer Science Summit, 2013.
STADELMANN, Thilo, Kurt STOCKINGER, Martin BRASCHLER, Mark CIELIEBAK, Gerold BAUDINOT, Oliver DÜRR und Andreas RUCKSTUHL, 2013. Applied data science in Europe : challenges for academia in keeping up with a highly demanded topic. In: Proceedings of the 9th European Computer Science Summit. Conference paper. 2013
Stadelmann, Thilo, Kurt Stockinger, Martin Braschler, Mark Cieliebak, Gerold Baudinot, Oliver Dürr, and Andreas Ruckstuhl. 2013. “Applied Data Science in Europe : Challenges for Academia in Keeping up with a Highly Demanded Topic.” Conference paper. In Proceedings of the 9th European Computer Science Summit.
Stadelmann, Thilo, et al. “Applied Data Science in Europe : Challenges for Academia in Keeping up with a Highly Demanded Topic.” Proceedings of the 9th European Computer Science Summit, 2013.


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