Advances in Computational Social Sciences

Erscheinungsjahr 2027
ISBN: 978-981-9283-10-1
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

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.

Research on society encompasses a broad range of topics, including the 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 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.

Zielgruppe

Research

Autoren/Hrsg.

Dörpinghaus, Jens

Tiemann, Michael

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
• Interdisziplinäres Wissenschaften Wissenschaft und Gesellschaft | Kulturwissenschaften Kulturwissenschaften

Inhaltsverzeichnis

Part I CSS and Ethics. Chapter 1. Ethics and AI: Approaching Ethical Paradoxes in the Digital World.- Chapter 2. The Evolving Role of AI in Structuring and Analyzing Television Content.- Chapter 3. AI and Copyright: Challenges and Regulatory Necessities for the Future.- Part II CSS and Humanities.- Chapter 4. Federated Information Retrieval with TEI and EpiDoc Data Matching.- Chapter 5. Enhancing Text Recognition of Damaged Documents through Synergistic OCR and Large Language Models.- Chapter 6. AI and Digital Applications in Theological Education.- Chapter 7. Challenges and Methods in Designing Archival Information Systems.- Chapter 8. Co-designing Church Online: An Analysis of Design Requirements and Ideas to Transform the Experience of Web-Based Church Attendance.- Chapter 9. Applying CSS Methods in Historical and Religious Studies: A Case Study on Jacob.- Part III CSS and Networks.- Chapter 10. Resilience Under Disruption: A Methodological Study of Network Dynamics.- Chapter 11. Link Prediction in Social Knowledge Graphs: From ML to Novel Approaches.- Chapter 12. Towards Quality Control for Social Networks Extracted from Texts.- Part IV: CSS, Education and Applications.- Chapter 13. Incorporating Struggle in PFA for Programming Education.- Chapter 14. Found Data Sources as a Basis for Social Science Surveys.Representativeness and Additional Analysis Potential.- Chapter 15. The Future of Qualitative Content Analysis in the Age of Artificial Intelligence.

Über Autor(innen)

Jens Dörpinghaus is postdoctoral researcher at Department 1, “VET Research and Monitoring” at the Federal Institute for Vocational Education and Training (BIBB), Germany. He is also lecturer for computer science at the University of Koblenz. His research focuses on computational social science, data science methods, and big data analytics.

Michael Tiemann is co-heading section 1.2 “Qualification, Occupational Integration, and Employment” at the German Federal Institute for Vocational Education and Training. He holds a doctorate in Sociology from University of Cologne and master’s degrees in Sociology (Düsseldorf University) and Philosophy (University of Leeds). His research interests comprise changes in occupational content, impacts of changes on the labour market, and knowledge in work. He is lecturer at the University of Bonn.