Data Science in Social Research

Name: Data Science in Social Research
Brand: de Gruyter
SKU: 9783110680676
Price: 2921.0 INR
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by Uwe Engel

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ISBN13: 9783110680676
Binding: Hardcover
Subject: N/A
Publisher: de Gruyter
Publisher Imprint: de Gruyter
Publication Date: March 15, 2024
Pages: 400
Original Price: USD 38.99
Language: English
Edition: N/A
Item Weight: 958 grams
BISAC Subject(s): Methodology

About The Book

The emergent field of CSS is growing in scientific importance and public interest. There is no doubt that the field of social science needs to keep up with a rapidly changing society; the ubiquity of digital media in all aspects of life, work, play, and leisure is requiring new perspectives and theories. Driving forces include technological advancements in computer systems, the rise of machine learning, and the ubiq-uity of artificial intelligence. Digital media are being adopted on a large scale globally, leading to the creation and collection of vast amounts of structured and unstructured data. This holds the promise of a new type of open science, where data in the social sciences is a public good instead of serving commercial interests.

These developments affect both the objects of social-science research as well as its methods. We are witnessing a paradigm shift from traditional survey research to large-scale computational methods, not least because of the mere availability of large amount of digital trace data. This shift has concrete implications such as usage of disparate kinds of data (e.g., unstructured data), application of new types of methods (e.g., machine learning), exposition to a wide range of threats to data quality and valida-tion, and finally different inferential paradigms.

The goal of this textbook is to respond to this paradigm shift with an exposition of computational methods required to conduct social research in the digital age. Five basic points characterize the in-tended scope and focus of the textbook: Selection of methods, Data quality, Statistical learning & validation, Artificial intelligence and Balance of statistical foundations and programming.

About The Author

Uwe Engel is a Professor emeritus of Sociology at the University of Bremen (Germany). He founded the Social Science Methods Centre of Bremen University and is a founding member of the European Association of Methodology (EAM) and the Bremen International Graduate School of Social Sciences (BIGSSS).

Lena Dahlhaus is a lecturer at the Institute of Social Sciences (IFSOL) at the Carl von Ossietzky University of Oldenburg, where she teaches statistics, social research methods and urban sociology to students of sociology and political science.

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