New Methodologies of Research for PhD and Beyond: Digital Transformation and AI for Social Sciences
About the Book Series
This open access series examines how digital transformation and artificial intelligence are reshaping research methodologies in the social sciences and management, integrating epistemology, ethics, data practices, AI tools and research communication across the full research lifecycle.
Bringing together philosophical foundations, quantitative, qualitative and mixed methods, data stewardship, AI-enabled analysis and scholarly communication, the series equips researchers to design, conduct, analyse and disseminate research in digitally mediated environments. Each volume combines methodological instruction with critical reflection on bias, interpretability, ethics, transparency and reproducibility, ensuring that computational tools remain theoretically grounded and socially accountable.
The series is written for doctoral students, early-career researchers and established scholars in the social sciences, management and interdisciplinary fields who are engaging with digital data, AI and computational methods, as well as supervisors and research teams seeking an integrated methodological framework.
The series is published on an open access basis, with publication fees funded by WSB University, enabling free and immediate access to all volumes and supporting equitable participation in global research communities.
AI in Social Sciences Research
1st Edition
By Łukasz Sułkowski, Marcin Lis, Sabina Ratajczak, Zdzisława Dacko-Pikiewicz
July 03, 2026
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 ...
Academic Writing, Visualization, Presentation, and Publishing of Research
1st Edition
By Łukasz Sułkowski, Joanna Kurowska-Pysz, Katarzyna Szczepańska-Woszczyna
July 03, 2026
Academic Writing, Visualization, Presentation, and Publishing of Research is a comprehensive guide to scholarly communication in a digital research environment. Written for PhD candidates and early-career researchers in the social sciences and management, it shows how to write with clarity, ...
Data Management and Digital Infrastructure in Social Sciences
1st Edition
By Łukasz Sułkowski, Andrzej Woźniak, Robert Seliga, Marcin Lis
July 03, 2026
Data Management and Digital Infrastructure in Social Sciences shows how to move from raw digital data to usable evidence, with practical guidance on data literacy, documentation, platforms, and workflows that support transparency and reproducibility. Written for postgraduate students and ...
Qualitative Methods in Digital Inquiry
1st Edition
By Łukasz Sułkowski, Iga Lehman, Katarzyna Szczepańska-Woszczyna
July 03, 2026
Qualitative Methods in Digital Inquiry shows how to design, conduct, and analyse qualitative research in online and technology-rich settings, from virtual ethnography and netnography to visual and arts-based approaches. Written for PhD students, early-career researchers, and instructors across the ...
Quantitative Methods of Research in Digital Landscape
1st Edition
By Łukasz Sułkowski, Marta Pikiewicz, Katarzyna Szczepańska-Woszczyna
July 03, 2026
Quantitative Methods of Research in Digital Landscape equips social science and management researchers to design, run, and interpret statistical analyses for today’s data-rich research environment, from core descriptive statistics and hypothesis tests through to regression modeling and factor ...
Epistemology and Methodology of Research in AI Age
1st Edition
By Łukasz Sułkowski, Zdzisława Dacko-Pikiewicz, Katarzyna Szczepańska-Woszczyna
July 02, 2026
Epistemology and Methodology of Research in the AI Age maps how artificial intelligence (AI), digital platforms, and big data reshape the foundations of social science and management research. It connects epistemology and research design to the practical choices researchers now face, from defining ...
Quantitative, Qualitative, and Mixed Methodologies in Digital Social Sciences
1st Edition
By Łukasz Sułkowski, Robert Seliga, Zdzisława Dacko-Pikiewicz
July 02, 2026
Quantitative, Qualitative, and Mixed Methodologies in Digital Social Sciences brings together quantitative analysis, qualitative inquiry, and mixed methods for the digital era. This volume shows how to design robust social science research using online surveys, platform data, digital traces, and ...
Research Ethics, Integrity, and Transparency
1st Edition
By Łukasz Sułkowski, Sabina Ratajczak, Katarzyna Szczepańska-Woszczyna
July 02, 2026
Research Ethics, Integrity, and Transparency guides researchers through ethics, integrity, and transparency when using big data, social media, and AI, with practical advice on consent, GDPR, bias, and open science. Bringing research ethics into the realities of digital data, this volume helps ...