Y Lin
Transdisciplinarity and digital humanities : lessons learned from developing text-mining tools for textual analysis
Lin, Y
Authors
Contributors
D Berry
Editor
Abstract
The development and implementation of e-Research tools have signified and signalled a dramatic "computational turn" in conducting research in humanities. Digital humanities has been heralded as the future of humanities research. e-Research programmes often emphasise interdisciplinary and/or multidisciplinary. Although to some extent these existing observations are valid, I will argue in this paper that the kind of digital humanities facilitated by e-Research tools, if widely adopted, is in fact transdisciplinary, a step further than multidisciplinary or interdisciplinary. The realisation of transdisciplinary research can be seen through looking at the process of developing text-mining tools for social and behavioural scientists in the case study to be introduced in this paper. I will discuss the challenges and implications of such transdisciplinary research in light of this case study. The empirical case study provided here also contributes to the ongoing and long-standing discussion about interdisciplinariy and transdisciplinarity.
Publication Date | Jan 1, 2012 |
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Deposit Date | Jan 6, 2012 |
Publicly Available Date | Apr 5, 2016 |
Publisher | Palgrave Macmillan |
Pages | 295-314 |
Book Title | Understanding Digital Humanities |
ISBN | 9780230292642 |
DOI | https://doi.org/10.1057/9780230371934 |
Keywords | e-Science, e-Humanity, e-Social Sciences, digital humanity, text-mining, Science and Technology Studies (STS), textual analysis, research methodology, |
Publisher URL | http://dx.doi.org/10.1057/9780230371934 |
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