General Social Science

Epidemiology studies the historical pattern of disease in populations to describe and identify distributions of diseases and opportunities for intervention. This course serves as a cornerstone for the quantitative aspects of global health and focuses quantitatively on the distribution and determinants of health in populations and communities. The goal is to provide a scientific and engineering foundation that seeks to reduce risk factors and improve health in a population through a strong quantitative analysis of causation, problem-solving, analytic reasoning. The study of epidemiology evaluates the multifactorial etiology and pathophysiology of chronic diseases and applies criteria for identification, prevention and control of infectious agents. The discipline also contributes to public health practice and policy and is designed to introduce students to the principles and methods of health investigations.

In the rapidly evolving landscape of technology, artificial intelligence (AI) has emerged as a transformative force with significant implications for public policy. This course is designed to provide students with a comprehensive understanding of challenges and opportunities AI brings to society and attendant policy debates. Throughout the course, students will learn both knowledge and tools enabling them to critically analyze and contribute to policy formation, implementation, assessment of AI related polices. The course will prepare students to engage in ongoing policy and emergent policy debates that reflect AI’s impact on society. Students will be able to make ethically informed decisions about the intersection of technology, policy, and society.