ALGORITHMIC SCHOLAR: AI-ENABLED METHODS IN ACADEMIC RESEARCH: THEORY, APPLICATIONS, ETHICS, AND FUTURE DIRECTIONS

The machines have entered the academy. What happens next is up to you.

Every day, researchers hand over more of their work to AI — searching, screening, analyzing, even writing. Speed has never been cheaper. But trust? That's another matter. This unflinching examination of the AI tool landscape refuses both the evangelism of tech enthusiasts and the panic of traditionalists. Instead, it asks the harder question: when a machine mediates your research, who is really doing the scholarship? Tool by tool, stage by stage, this book equips you to decide what to embrace — and what to refuse.

This book takes you inside the AI research revolution, stage by stage and tool by tool. Grounded in international ethics frameworks and real-world case studies, it cuts through the hype to answer the question every researcher must face: not what can AI do, but what should a careful scholar welcome, manage, or resist?

Your indispensable guide to research in the age of AI.