044 209 91 25 079 869 90 44
Merkliste
Die Merkliste ist leer.
Der Warenkorb ist leer.
Kostenloser Versand möglich
Kostenloser Versand möglich
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.
Handbook of Computational Social Science, Volume 1
ISBN/GTIN

Handbook of Computational Social Science, Volume 1

Theory, Case Studies and Ethics
E-BookEPUBE-Book
Verkaufsrang63366inPsychologie
CHF96.10

Beschreibung

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.
Weitere Beschreibungen

Details

Weitere ISBN/GTIN9781000448610
ProduktartE-Book
EinbandE-Book
FormatEPUB
Erscheinungsdatum10.11.2021
Auflage21001 A. 1. Auflage
Seiten416 Seiten
SpracheEnglisch
Dateigrösse4300 Kbytes
Illustrationen42 schwarz-weiße Abbildungen, 2 schwarz-weiße Fotos, 40 schwarz-weiße Zeichnungen, 22 schwarz-weiße Tabellen
Artikel-Nr.9867504
KatalogVC
Datenquelle-Nr.4174493
WarengruppePsychologie
Weitere Details

Über den/die AutorIn

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 e- ects of social media and AI, social media and well-being, and how the design of social robots impacts 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.