AI in Social Sciences Research
Language: English
Published by Routledge, 2026
- Softcover
- New

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- Title
- AI in Social Sciences Research
- Author
- Su?kowski, ?ukasz
- Publisher
- Routledge
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1041339518
- ISBN 13
- 9781041339519
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.
"Synopsis" may belong to another edition of this title.
About the Author
Łukasz Sułkowski 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.
Zdzisława 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.
"About the title" may belong to another edition of this title.
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