AI, Archaeology, and Archives - How Data Science is Helping to Reveal Past Epidemics

Explore how data science is revolutionizing the study of past epidemics in this Stanford University seminar. Delve into Dr. Krish Seetah's research on the intersection of society, ecology, and disease, focusing on malaria's impact over the last 300 years. Learn about the novel integration of archaeological, historical, anthropological, climatic, and genetic datasets to gain a comprehensive understanding of disease dynamics. Discover how this interdisciplinary approach reveals key socio-political factors influencing malaria's impact on human lives. Examine case studies from Kenya and Mauritius, and understand the importance of cultural context in archeological research. Gain insights into the future of archaeology and its potential to inform present-day health policies.