Computational paradigm shift: a historicization of recent developments in social sciences

Date

2019

Author

Ak, Onurhan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

7
views

1
downloads

Cite This

The use of big data and computational methodologies in social sciences have been getting attention and these changes in methodologies have been declared a "paradigm shift" in the contemporary literature. Motivated by such claims, this thesis discusses Computational Social Science by referring to Kuhnian theory of scientific revolutions and emphasizes the emergence of social big data in the former’s rise. Later, a historicization and contextualization of social big data is provided by employing conceptual tools supplied by Jean-François Lyotard and Nigel Thrift to understand and discuss "scientific change" in general and the nature of this particular case of scientific change; the rise of computational methodologies.

Subject Keywords

Social sciences, Social sciences Data processing., paradigm shift, Computational Social Science, big data, computerized societies, knowing capitalism.

URI

http://etd.lib.metu.edu.tr/upload/12623438/index.pdf
https://hdl.handle.net/11511/43726

Collections

Graduate School of Social Sciences, Thesis