ABSTRACT

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.

chapter |17 pages

Introduction

Title

chapter 4|13 pages

AI-Enhanced Research Design and Data Collection

Title

chapter 5|13 pages

AI in Management and Business Research

Title

chapter 6|14 pages

Psychology

Title
AI-Assisted Paths to Mind and Behavior

chapter 8|12 pages

Sociology

Title
Algorithmic Sociology and the Macro–Micro Bridge

chapter |3 pages

Conclusion

Title
Social Science in the Age of AI