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Human Environmental Data Science: Agriculture, Conflict, and Health
E-PSCI 168

Jointly Offered with: Faculty of Arts & Sciences as ESE 168

Course Information

Description

The purpose of this course is to develop understanding and guide student research of human and environmental systems. In class we will explore agriculture, conflict, and human health.  Study of each topic will involve introduction data, mathematical models, and analysis techniques that build toward addressing a major question at each interface: How does climate change influence agricultural systems? Has drought or other environmental factors caused conflict? And how does the environment shape health outcomes?  These topics are diverse, but are addressed using common analytical frameworks. Analytical approaches include simple mathematical models of feedback systems, crop development, and population disease dynamics; frequentist statistical techniques including linear, multiple linear, and panel regression models; and Bayesian methods including empirical, full, and hierarchical approaches. You will be provided with sufficient data, example code, and context to come to your own informed conclusions regarding each of these questions. Furthermore, topics covered in class will provide a template for undertaking independent research projects in small teams. Research will either extend on topics presented in class or address other human-environmental questions. Historically, such student projects have sometimes led to senior theses or publication in professional journals.

Course Notes

The course is designed for upper-level undergraduates. E-PSCI 168 is also offered as ESE 168. Students may not take both for credit. Enrollment is by instructor permission. This course fulfills the EPS sub-discipline requirement of Climate, Atmosphere, and Oceans.

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Course Component Seminar
Grading Basis FAS Letter Graded
General Education N/A
Quantitative Reasoning with Data N/A
Divisional Distribution Science & Engineering & Applied Science
Course Level For Undergraduate and Graduate Students