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.

Introduction
Linear approach
landscape changes
single parameters
lemon prabha
Historical context
Ecological impacts
Demography
Malaria in Mauritius
Marshall Cemetery
Historic Map
Genetic Evidence
Climate Proxy Evidence
Data Mining
Data Assembly
Accuracy
Bringing Data Together
Partners
Gates Foundation
Case Studies
Kenya
Mauritius
Questions
Cultural Context
Archeology
Future Archeology
How close are we to giving advice