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Published in:
2017 | OriginalPaper | Chapter
Computational Social Science and Big Data: A Quick SWOT Analysis
Author : Theodor Leiber
Published in: Berechenbarkeit der Welt?
Publisher: Springer Fachmedien Wiesbaden
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Do computational social science and Big Data constitute a methodological revolution of the complex, data-intensive sciences? This question is approached by means of a quick analysis of strengths, weaknesses, opportunities and threats (SWOT analysis) of the two approaches. It is concluded that computational social science and Big Data do mark an important methodological improvement but should probably not be qualified as “scientific revolution” or “paradigm change”. From the SWOT analysis it also follows that further research is necessary for a coherent development of computational social science and Big Data, in particular with respect to the ethics of privacy; balancing the low explanatory power of computational models; developing an epistemological position between naïve realism and radical constructivism; integrating computer science and social science.