A discipline-enriched dataset for tracking the computational turn of European universities

Nanni, Federico ; Paci, Giulia

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DOI: https://doi.org/10.1145/3127526.3127532
URL: https://ub-madoc.bib.uni-mannheim.de/42572
Additional URL: https://dl.acm.org/citation.cfm?id=3127532
URN: urn:nbn:de:bsz:180-madoc-425722
Document Type: Conference or workshop publication
Year of publication: 2017
Book title: WOSP 2017 : 6th International Workshop on Mining Scientific Publications : Toronto, ON, Canada, June 19, 2017
Page range: 29-33
Conference title: 6th International workshop On Mining Scientific Publications
Location of the conference venue: Toronto, ON, Canada
Date of the conference: 19 June 2017
Publisher: Knoth, Petr
Place of publication: New York, NY
Publishing house: ACM
ISBN: 978-1-4503-5388-5
Publication language: English
Institution: School of Business Informatics and Mathematics > Wirtschaftsinformatik III (Ponzetto 2016-)
Subject: 004 Computer science, internet
020 Library and information sciences
Abstract: In recent years, academic research appears to have been going through a methodological turning point. The discussion around the impact that computational methods will have on traditional fields of study has been the focus of many calls for papers and panels at established conferences. However, despite the high prevalence of this topic in the academic debate, it remains very challenging to assess whether academia as a whole has been actually adopting more digital resources and methods during the recent years. We are currently studying this topic by combining hermeneutic and text mining practices while analyzing one of the primary research output of European universities, namely doctoral theses. In this work, we present an enriched dataset we created for addressing this research questions and the first results of the analyses we have conducted so far.

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BASE: Nanni, Federico ; Paci, Giulia

Google Scholar: Nanni, Federico ; Paci, Giulia

ORCID: Nanni, Federico ORCID: 0000-0003-2484-4331 ; Paci, Giulia

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