AI in Social Sciences Research

By Łukasz Sułkowski

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.

• Format: Hardcover
• Language: English
• ISBN: 1041339526
• ISBN13: 9781041339526
• Release Date: May 2026
• Publisher: Routledge
• Length: 200 Pages