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The book Computational Social Science in the Age of Big Data highlights concepts, methodologies, tools, and applications of (automated) data-driven research in social science. The book focuses on the establishment of Computational Social Science (CSS) as an emerging field of research and application. International reputable authors represent the state-of-the-art in the field of CSS and cover several different aspects which are relevant for research and practice. The editors of the book accelerate the multidisciplinary access to the field of computational (social) science to facilitate a…mehr

Produktbeschreibung
The book Computational Social Science in the Age of Big Data highlights concepts, methodologies, tools, and applications of (automated) data-driven research in social science. The book focuses on the establishment of Computational Social Science (CSS) as an emerging field of research and application. International reputable authors represent the state-of-the-art in the field of CSS and cover several different aspects which are relevant for research and practice. The editors of the book accelerate the multidisciplinary access to the field of computational (social) science to facilitate a readable introduction for online researchers from academia and business.
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Autorenporträt
Martin Welker, Prof. Dr. habil., hat an der Universität Mannheim Politikwissenschaft, Anglistik, Philosophie und Volkswirtschaftslehre studiert. Nach dem Studium Journalist, u.a. für die Deutsche Presse Agentur. 2001 Promotion an der Universität Mannheim. Ab 2008 Professor in München, Leipzig und Braunschweig. Seit Sommersemester 2015 Professor für Journalismus und Kommunikation an der HMKW, der Hochschule für Medien, Kommunikation und Wirtschaft in Köln. Publikationen zu Partizipation, Digitalisierung und Online-Methoden.