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A01=Katarzyna Szczepanska-Woszczyna
A01=Lukasz Sulkowski
A01=Marcin Lis Lis
A01=Zdzislawa Dacko-Pikiewicz
AI in social science
artificial intelligence
Author_Katarzyna Szczepanska-Woszczyna
Author_Lukasz Sulkowski
Author_Marcin Lis Lis
Author_Zdzislawa Dacko-Pikiewicz
Category=GPS
Category=JHBC
Category=UYQ
computational social science
deep learning
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
eq_society-politics
forthcoming
large language model
machine learning
natural language processing
sentiment analysis
supervised learning
text analysis
topic modelling
unsupervised learning

Product details

  • ISBN 9781041339519
  • Dimensions: 174 x 246mm
  • Publication Date: 03 Jul 2026
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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AI in Social Sciences Research explains how artificial intelligence is reshaping social inquiry, from data collection and research design through analysis, interpretation, and theory-building. Treating AI as both a toolkit and a methodological shift, the volume offers a clear route into machine learning, natural language processing, simulation, and generative AI for social researchers, while keeping ethics, bias, transparency, and interpretability in view.

Key features include:

· Practical guidance on integrating AI into social science research workflows, without losing theoretical and contextual judgement

· Coverage of core techniques, including machine learning for prediction and pattern discovery, and NLP for large-scale textual and qualitative data

· Discussion of explainability and “black box” risks, with approaches for interpretability and responsible use

· Cross-disciplinary examples spanning sociology, psychology, anthropology, political science, economics, and management

· A critical account of research integrity issues: data quality, bias, privacy, accountability, and the limits of automation

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

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. He also leads the Department of Higher Education Institutions Management at Jagiellonian University and is a professor at Clark University.

Marcin Lis Lis is Vice-Rector for Student Affairs and Cooperation with the Environment at WSB Academy and holds a Doctorate in Engineering Sciences. An expert in quality systems, innovative project management, and integrated systems, he combines extensive international corporate experience from Orange S.A. with leadership roles in academic and regional business organizations.

Zdzisława Dacko-Pikiewicz holds a postdoctoral degree in business and management and is a professor and Rector of WSB University. She is the author or co-author of over 70 publications and has more than 25 years of experience in senior management positions in higher education and consulting.

Katarzyna Szczepańska-Woszczyna holds a postdoctoral degree in economic sciences and is a professor, Vice-Rector for Science and Education, and Dean of the Faculty of Applied Sciences at WSB University. She is the author or co-author of over 120 publications and serves on the “Excellent Science” board at the Ministry of Science and Higher Education (Poland) and as a member of the Polish Accreditation Committee.

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