Zum Hauptinhalt springen Zur Suche springen Zur Hauptnavigation springen
Beschreibung

AI in Social Sciences Research explains how artificial intelligence (AI) is reshaping social inquiry, from data collection and research design through analysis, interpretation, and theory-building. Treating AI as both a tool kit and a methodological shift, the volume offers a clear route into machine learning (ML), natural language processing (NLP), simulation, and generative AI (GAI) for social researchers while keeping ethics, bias, transparency, and interpretability in view.

Designed for postgraduate students, early-career researchers, and instructors teaching digital and computational social science (CSS) methods, the book supports readers who want to use AI with methodological care, not just technical speed.

AI in Social Sciences Research explains how artificial intelligence (AI) is reshaping social inquiry, from data collection and research design through analysis, interpretation, and theory-building. Treating AI as both a tool kit and a methodological shift, the volume offers a clear route into machine learning (ML), natural language processing (NLP), simulation, and generative AI (GAI) for social researchers while keeping ethics, bias, transparency, and interpretability in view.

Designed for postgraduate students, early-career researchers, and instructors teaching digital and computational social science (CSS) methods, the book supports readers who want to use AI with methodological care, not just technical speed.

Über den Autor

ukasz Sükowski is a professor of economic sciences and humanities specializing in higher education management, social science methodology, HRM, and organizational culture, and serves as President of WSB University.

Marcin Lis is Vice-Rector for Student Affairs and External Relations at WSB University and holds a PhD in engineering, his research interests include quality systems, innovation project management, and integrated management systems, with a particular focus on science - business collaboration and knowledge transfer.

Sabina Ratajczak is Vice-Rector for Development at WSB University, specializing in educational technologies and education management, with a particular focus on the integration of innovative digital tools into teaching and learning processes.

Zdzisawa Dacko-Pikiewicz is the Rector of WSB University and holds a habilitation in management and quality sciences. Her research spans reputation management, innovation, family business, competence development, and sustainability, with particular relevance to debates on organisational resilience, competitiveness, and knowledge transfer.

Inhaltsverzeichnis

Introduction, 1. Introduction - AI and the Evolving Landscape of Social Science Research, 2. Machine Learning and Big Data Analytics in Social Sciences, 3. Natural Language Processing for Qualitative and Textual Data, 4. AI-Enhanced Research Design and Data Collection, 5. AI in Management and Business Research, 6. Psychology: AI-Assisted Paths to Mind and Behavior, 7. Anthropology - Digital Ethnography and Algorithmic Thick Description, 8. Sociology: Algorithmic Sociology and the Macro-Micro Bridge, 9. Conclusion, 10. References

Details
Erscheinungsjahr: 2026
Fachbereich: Allgemeines
Genre: Importe, Politikwissenschaft & Soziologie
Rubrik: Wissenschaften
Medium: Taschenbuch
Inhalt: Einband - flex.(Paperback)
ISBN-13: 9781041339519
ISBN-10: 1041339518
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Su¿kowski, ¿Ukasz
Lis, Marcin
Ratajczak, Sabina
Hersteller: Taylor & Francis Ltd
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 244 x 170 x 9 mm
Von/Mit: ¿Ukasz Su¿kowski (u. a.)
Erscheinungsdatum: 07.07.2026
Gewicht: 0,276 kg
Artikel-ID: 135856498