{"id":150,"date":"2024-11-05T17:16:53","date_gmt":"2024-11-05T16:16:53","guid":{"rendered":"https:\/\/wp.uni-koblenz.de\/cssbibb\/?page_id=150"},"modified":"2025-03-29T09:47:15","modified_gmt":"2025-03-29T08:47:15","slug":"call-for-submission-of-chapters-in-edited-book-springer","status":"publish","type":"page","link":"https:\/\/wp.uni-koblenz.de\/cssbibb\/en\/call-for-submission-of-chapters-in-edited-book-springer\/","title":{"rendered":"Call for Submission of Chapters in Edited Book (Springer)"},"content":{"rendered":"

This book is dedicated to the explication of a joint computational methods toolbox for the study of society and its current advances. It includes AI and computational methods such as Text and Data Mining, Computational Linguistics, Data Management, and Network Analysis. Although digital methods and AI have been topics of research in society for several decades, this book is not limited to discoveries in these domains. It is also dedicated to reflecting on the methods and results within the field of computer science. Thus, we are particularly interested in interdisciplinary exchange and dissemination with a clear focus on computational and AI methods. This includes, but is not limited to, education and labor market research, ethical and philosophical considerations, and sociological challenges for AI in society.<\/span><\/span><\/p>\n

Book title:<\/strong> Advances in Computational Social Sciences<\/span>
\nSubtitle<\/strong>: AI, Computational Methods and Applications for the Study of Society
\nEditors<\/strong>: Jens D\u00f6rpinghaus & Michael Tiemann
\nPublisher<\/strong>: Springer
\n<\/span><\/span><\/p>\n

Background<\/span><\/h2>\n
\n

Research on society encompasses a broad range of topics within the domains of computational study of culture, social sciences, and humanities. This includes subjects such as education, the labor market, history, religious studies, theology, cultural heritage, and informative predictions for decision-making and behavioral science perspectives.<\/span><\/em><\/span><\/p>\n

Since there is a clear methodological overlap between these three domains and often similar algorithms and AI approaches are considered, this book serves as a place for interdisciplinary learning. It discusses a joint toolbox to support scholars from these fields with human and context-aware agents.<\/span><\/em><\/span><\/p>\n

The aim of this books thus is to bridge the gap between scientific domains, foster interdisciplinary exchange and discuss how research questions from other domains challenge current computer science. In particular, we are interested in communications between researchers from different fields of computer science, social sciences, economics, humanities, and practitioners from different fields.<\/span><\/em><\/span><\/p>\n<\/blockquote>\n

The list of topics thus includes, but is not limited to:<\/span><\/p>\n