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

Engel, Uwe (EDT); Quan-haase, Anabel (EDT); Liu, Sunny Xun (EDT); Lyberg, Lars (EDT)

ISBN 10: 0367457806 / ISBN 13: 9780367457808

Edité par Routledge, 2021

A propos de cet article

N° de réf. du vendeur 43056101-n

Détails bibliographiques

• Titre: Handbook of Computational Social Science : Data Science, Statistical Modelling, and Machine Learning Methods
• Éditeur: Routledge
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 0367457806
• ISBN à 13 chiffres: 9780367457808
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.

À propos de l?auteur

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.