Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Stanford University

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

Stanford University via YouTube

Overview

Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
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.

Syllabus

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

Taught by

Stanford HAI

Reviews

5.0 rating, based on 2 Class Central reviews

Start your review of AI, Archaeology, and Archives - How Data Science is Helping to Reveal Past Epidemics

  • The course was truly very interesting. The team of researchers who worked on data acquisition and processing included highly competent professors. Learning where they developed, how, and what path they took to become so lethal was very interesting. Thank you for sharing your knowledge.
  • Shagufta Basri
    The course is very fun and full of new approach to Archaeology through AI I gusse AI will be very helpful in understanding contemporary archaeology.

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.