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.

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 early-career researchers in the social sciences and management, the volume also supports instructors and research support staff who need a grounded, course-ready guide to modern data practi...

The growing complexity, fluidity and instability of the environment as well as changing needs are challenges that both enterprises and higher education institutions must face. Higher education institutions understand that their key product, i.e. knowledge, is a value that can and should be offered to enterprises in a desirable form as a key to innovation and development as well as the basis of the necessary internal transformation to respond to requirements of our times. Attempts to explai...