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

Download

index.pdf

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

88
views

42
downloads

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

Suggestions

OpenMETU
Core

Determinants of innovation behaviour: analysis of 2004-2006 technological innovation survey of Turkey Karakuzu, Miray; Pamukcu, Mehmet Teoman; Department of Science and Technology Policy Studies (2010) Main purpose of this thesis is to analyse the main determinants affecting innovation behaviour by utilizing the results of Technological Innovation Survey of Turkey for the periods 2004-2006 combined with the results of Annual Business Statistics Surveys conducted for the year 2003. The total number of the observations of the matched data of the two Surveys is 947. Main underlying reason for the time lag introduced between the two surveys is to be able to relate firm and sector characteristics to the innova...
DEVELOPING AN ARCHITECTURAL FRAMEWORK FOR FACILITATING TRANSFORMATION TOWARDS DATA-DRIVEN ORGANIZATIONS Kayabay, Kerem; Eren, Pekin Erhan; Gökalp, Ebru; Department of Information Systems (2022-2-11) Paradigm shifts such as digital transformation and Industry 4.0 produce complex data, also called big data. Businesses increasingly focus on exploiting big data for competitive advantage, leveraging data science. However, many industries cannot effectively leverage data science since no comprehensive approach allows strategic planning for organization-wide data science projects and data assets. After recognizing the industry`s need, this thesis explores the Data Science Roadmapping Framework`s (DSR) develop...
Computer science and engineering Weber, Gerhard Wilhelm; Vasant, Pandian; Marmolejo Saucedo, Jose Antonio (2018-03-01) During previous decades, modern approaches to Operational Research (OR), Computation and Optimization have attracted a growing number of scientists, pedagogues, advisors, deciders and practitioners. Actually, very strong and smart ("intelligent") computational techniques arose for handling a very large number of real-world challenges and crises, in particular, in relation with the main areas of optimization in theory and practical use. Those real problems are characterized by their tremendous non-convexity ...
Computational representation of protein sequences for homology detection and classification Oğul, Hasan; Mumcuoğlu, Ünal Erkan; Department of Information Systems (2006) Machine learning techniques have been widely used for classification problems in computational biology. They require that the input must be a collection of fixedlength feature vectors. Since proteins are of varying lengths, there is a need for a means of representing protein sequences by a fixed-number of features. This thesis introduces three novel methods for this purpose: n-peptide compositions with reduced alphabets, pairwise similarity scores by maximal unique matches, and pairwise similarity scores by...
Representation of gecekondu in mainstream print media: from housing question to varoş Kalaylıoğlu, Mahir; Yeğen, Mesut; Department of Sociology (2006) This study examines the dominant representations of gecekondu in the mainstream print media and the changes in these representations in a historical context from the end of 1940s, when gecekondu made its first remarkable appearance, to the late ء90s̕. How gecekondu phenomenon, which, in its historical development, has become institutionalized as one of the basic housing supply forms in the cities ا or ءgecekondu question̕ as defined in the academic discourse and media ا is represented and in which contexts ...

Citation Formats

O. Ak, “Computational paradigm shift: a historicization of recent developments in social sciences,” Thesis (M.S.) -- Graduate School of Social Sciences. Sociology., Middle East Technical University, 2019.