Handbook of Computational Social Science, Volume 1: Theory, Case Studies and Ethics
暫譯: 計算社會科學手冊，第1卷：理論、案例研究與倫理

Engel, Uwe, Quan-Haase, Anabel, Liu, Sunny

Handbook of Computational Social Science, Volume 1: Theory, Case Studies and Ethics

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商品描述

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.

The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field, but also encourages growth into new directions.

With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates and researchers engaging with computational methods across the social sciences, as well as those within the scientific and engineering sectors.

商品描述(中文翻譯)

《計算社會科學手冊》是跨多個學科學者的綜合參考資料。它概述了該領域的關鍵辯論，展示了新穎的統計建模和機器學習方法，並通過具體案例研究來展示計算社會科學（CSS）方法中的機會與挑戰。

該手冊分為兩卷，由該領域的傑出國際知名學者撰寫。第一卷專注於計算社會科學的範疇、倫理及案例研究。它涵蓋了一系列關鍵議題，包括開放科學、正式建模以及社會與行為科學。這一卷探討了主要的辯論，介紹了數位痕跡數據，回顧了不斷變化的調查環境，並呈現了計算社會科學研究的新穎範例，這些範例涉及社會互動的感知、社會機器人、機器人、情感、操控及社交媒體中的極端主義。該卷不僅對這一不斷增長的研究領域的整合做出了重大貢獻，還鼓勵向新方向的發展。

憑藉其廣泛的視角（理論、方法論、計算）、國際範圍和跨學科的方法，這一重要資源對於高年級本科生、研究生以及從事社會科學計算方法的研究人員，以及科學和工程領域的相關人士來說，都是不可或缺的閱讀材料。

作者簡介

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.

作者簡介(中文翻譯)

烏韋·恩格爾（Uwe Engel）是德國不來梅大學的教授，於2000年至2020年間擔任社會學講座教授。從2008年到2013年，恩格爾博士協調了德國研究基金會的「調查方法學」優先計劃。他目前的研究重點是數據科學、人機互動和意見動態。

安娜貝爾·全哈斯（Anabel Quan-Haase）是加拿大倫敦西安大略大學的社會學及資訊與媒體研究教授，並擔任社會數位媒體實驗室的主任。她的研究興趣包括社交媒體、社交網絡、生命歷程、社會資本、計算社會科學以及數位不平等/包容性。

劉迅（Sunny Xun Liu）是美國斯坦福社交媒體實驗室的研究科學家。她的研究專注於社交媒體和人工智慧的社會及心理影響、社交媒體與幸福感，以及社交機器人的設計如何影響心理感知。

拉斯·利貝格（Lars Lyberg）曾擔任瑞典統計局的研究與發展部門負責人，並在斯德哥爾摩大學任教。他是國際統計學會的當選成員。2018年，他獲得了AAPOR卓越成就獎。

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