This conversation explores the transformative impact of AI on academic research methodologies, the challenges of accessing historical data, and the importance of collaboration among researchers. The discussion delves into the role of AI in identifying research gaps, establishing causality, and enhancing the digital humanities. It also highlights the iterative nature of research and the potential for AI tools to facilitate prototyping and user experience in research applications.Chapters00:00 Introduction to AI in Research02:17 The Evolution of Research Methodologies05:10 Accessing Historical Data and Challenges07:40 Formulating Research Questions10:32 The Role of AI in Historical Analysis13:14 Causality and AI Limitations16:19 Iterative Processes in Research18:59 Building Collaborative Tools for Researchers21:54 The Future of AI in Academia24:38 Conclusion and Reflections

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