Call for Submission of Chapters in Edited Book (Springer)

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.

Book title: Advances in Computational Social Sciences
Subtitle: AI, Computational Methods and Applications for the Study of Society
Editors: Jens Dörpinghaus & Michael Tiemann
Publisher: Springer

Background

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.

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.

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.

The list of topics thus includes, but is not limited to:

• AI and computational approaches for the interdisciplinary work of the social sciences, economics, and humanities: report on theoretical, methodological, experimental, and applied research.
• AI and computational approaches for linking data from different digital resources, including online social networks, web and data mining, Knowledge Graphs, Ontologies.
• AI and computational methods for text mining and textual analysis, for example texts within social sciences, digital literacy studies, computational stylistics and stylometry.
• Text encoding, computational linguistics, annotation guidelines, OCR for humanities, economics, and social sciences.
• Network analysis, including social and historical network analysis.

While we encourage submissions from a broad background, we also encourage submissions to two special topics. In 2024 these will be:

• Ethical and philosophical considerations of AI in society and research.
• Sociological challenges for AI in society, e.g., labour market, education or media.

In general, the applications of interest are included in the list below, but are not limited to:

• Labour market research and qualification, including behavioral-science perspectives.
• Education: Digital methods and systems, e-learning, adult education, etc.
• Contributions to the application of technology to culture, history, and societal issues: For example, computational text analysis, analytical and visualization, databases, etc.
• In particular, we welcome submissions focusing on a critical reflection of digital methods in the humanities, economics and social sciences within computer science.
• Linking of digital resources, a discussion of data sets, their quality and reliability, combining quantitative and qualitative data, anonymization and data protection.

Requirement of the Abstract/Synopsis

Researchers and practitioners are invited to submit a title and abstract (500 words maximum) describing the background, purpose, concepts, research methodology or approach, findings, and conclusions or recommendations for the proposed chapter by November 28, 2024.

Decisions on submitted abstracts will be made from November 28 to December 12, 2024, and authors will be required to submit their chapter for peer review by February 28, 2025.

Final submissions should be between 15-30 pages in Springer style.

For further information please contact doerpinghaus@uni-koblenz.de/mtiemann@uni-koblenz.de.