Led by: William J. Turkel This course is a hands-on introduction to using LLM technology (large language models like ChatGPT or Gemini) to assist with the practice of writing nonfiction. Popular discussions of this technology have focused on the unconstrained models’ tendencies to hallucinate, their inability to cite or return verifiable sources of information, and […]
Led by: Juilee Decker and David Messinger In the past, scholars applied lemon juice and a heat source when uncovering hidden features of historical documents (think: “National Treasure”). We now know that this method damaged artifacts unnecessarily. Interest in this field has led to newer, safer practices involving cameras, sensors, and LED panels. A low-cost, […]
Led by: Shu Wan This course introduces the basic knowledge of social network analysis (SNA) to digital humanities scholars, especially historians. The course will consist of three parts. The first introduces the theory and terminology of SNA, centrality, its measurements, and other key SNA categories such as groups/subgroups, ego networks, and two-Mode networks. The second […]
