Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods

Author:   Uwe Engel ,  Anabel Quan-Haase ,  Sunny Liu ,  Lars Lyberg
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032077703


Pages:   412
Publication Date:   17 November 2021
Format:   Paperback
Availability:   In Print   Availability explained
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Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods


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Author:   Uwe Engel ,  Anabel Quan-Haase ,  Sunny Liu ,  Lars Lyberg
Publisher:   Taylor & Francis Ltd
Imprint:   Routledge
Weight:   0.834kg
ISBN:  

9781032077703


ISBN 10:   1032077700
Pages:   412
Publication Date:   17 November 2021
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Uwe Engel is Professor at the University of Bremen, Germany, where he held a chair in sociology from 2000 to 2020. From 2008 to 2013, Dr. Engel coordinated the Priority Programme on “Survey Methodology” of the German Research Foundation. His current research focuses on data science, human-robot interaction, and opinion dynamics. Anabel Quan-Haase is Professor of Sociology and Information and Media Studies at Western University and Director of the SocioDigital Media Lab, London, Canada. Her research interests include social media, social networks, life course, social capital, computational social science, and digital inequality/inclusion. Sunny Xun Liu is a research scientist at Stanford Social Media Lab, USA. Her research focuses on the social and psychological effects of social media and AI, social media and well-being, and how the design of social robots impact psychological perceptions. Lars Lyberg was Head of the Research and Development Department at Statistics Sweden and Professor at Stockholm University. He was an elected member of the International Statistical Institute. In 2018, he received the AAPOR Award for Exceptionally Distinguished Achievement.

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