AI in social sciences research / Łukasz Sułkowski, Marcin Lis Lis, Zdzisława Dacko-Pikiewicz, and Katarzyna Szczepańska-Woszczyna.

Author/creator Sulkowski, Lukasz, 1972
Other author Lis Lis, Marcin
Other author Dacko-Pikiewicz, Zdzisława
Other author Szczepańska-Woszczyna, Katarzyna
Format Electronic
Publication InfoAbingdon, Oxon ; New York, NY : Routledge, 2026.
Descriptionpages cm
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

Variant title Artificial intelligence in social sciences research
SeriesNew research methodologies for PhD and beyond: digital transformation and AI methods for social sciences and management
Abstract "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"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2026011240
ISBN9781041339526 hardback
ISBN9781041339519 paperback
ISBNebook

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