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Big Data: new approach to epistemology and methodology of social sciences


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Čačić, Petra. (2015). Big Data: new approach to epistemology and methodology of social sciences. BSc thesis. Filozofski fakultet u Zagrebu, Department of Information Science. [mentor Kocijan, Kristina].

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Big data refers to phenomena that can lead to certain conclusions because of large amounts of data by which these phenomena are described; if the scale was smaller, it wouldn’t be possible to draw these conclusions. These insights help us to create new values which have significant impact on various spheres of human activity, and which change the way we think about business, health, politics, education and future innovations. Is it possible to use Big data to generate a new epistemology, to transform research in social sciences and to create a new data-driven science? Which ethical issues are associated with this way of collecting and using data, and how to resolve the issue of privacy? The relevance of Big data for both society and individuals can be further extended by application of Big data to predictive analysis that enables us to predict future events. Perhaps the greatest potential benefit of Big data lies in its ability to link seemingly disparate disciplines – this can lead to revelations which wouldn’t be possible within a single scientific discipline.

Item Type: BSc thesis
Uncontrolled Keywords: Big Data, epistemology, methodology, social sciences, ethical issues, privacy, predictive analysis
Subjects: Information sciences > Social-humanistic informatics
Departments: Department of Information Science
Supervisor: Kocijan, Kristina
Date Deposited: 02 Oct 2015 13:36
Last Modified: 02 Oct 2015 13:36

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