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.

Chapters

00:00 Introduction to AI in Research

02:17 The Evolution of Research Methodologies

05:10 Accessing Historical Data and Challenges

07:40 Formulating Research Questions

10:32 The Role of AI in Historical Analysis

13:14 Causality and AI Limitations

16:19 Iterative Processes in Research

18:59 Building Collaborative Tools for Researchers

21:54 The Future of AI in Academia

24:38 Conclusion and Reflections