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Original title:
Interdisciplinary Collaboration in Computational Social Science
Translated title:
Interdisziplinäre Kollaboration in Computational Social Science
Author:
Voggenreiter, Angelina
Year:
2023
Document type:
Dissertation
Faculty/School:
TUM School of Computation, Information and Technology
Advisor:
Pfeffer, Jürgen (Prof. Dr.)
Referee:
Pfeffer, Jürgen (Prof. Dr.); Joseph, Kenneth (Prof., Ph.D.)
Language:
en
Subject group:
DAT Datenverarbeitung, Informatik
TUM classification:
SOZ 700
Abstract:
The dissertation evaluates the value of interdisciplinary collaboration in Computational Social Science (CSS). Based on three case studies, we show how technology can help to answer crucial research questions in social science fields and demonstrate the opportunities and challenges in CSS projects. We explain how interdisciplinary collaborations helped us to overcome these challenges, discuss common difficulties in collaborative projects and offers guidelines for successful collaborations.
Translated abstract:
Die Dissertation evaluiert den Wert interdisziplinärer Kollaboration in Computational Social Science (CSS). Anhand von drei Fallstudien zeigen wir, wie durch Technologie wichtige Forschungsfragen in den Sozialwissenschaften beantwortet werden können, und stellen die Chancen und Herausforderungen in CSS-Projekten dar. Wir erklären, wie interdisziplinäre Kollaborationen geholfen haben, diese Herausforderungen zu meistern, diskutieren häufige Probleme in Kollaborationsprojekten und bieten Leitlinie...     »
WWW:
https://mediatum.ub.tum.de/?id=1706286
Date of submission:
20.04.2023
Oral examination:
26.07.2023
File size:
31165142 bytes
Pages:
143
Urn (citeable URL):
https://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:91-diss-20230726-1706286-1-5
Last change:
22.09.2023
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