260.844.41
Causation
Location
Internet
Term
4th Term
Department
Molecular Microbiology and Immunology
Credit(s)
3
Academic Year
2024 - 2025
Instruction Method
Synchronous Online
Thursday, 5:00 - 6:00pm
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
Yes
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Gundula Bosch
Contact Email
Frequency Schedule
Every Year
Resources
Prerequisite
none
Are you interested in fundamental ideas about cause and effect relationships, and how they govern biomedical and public health researchers' work? Understanding causal relationships is essential to our abilities to explain why things happen, predict what will happen, and design interventions. We will discuss different theories of causation, and analyze how different fields in science and health establish causality. In this course, faculty from each JHSPH Department will lead a discussion of how causal relationships are understood within their field, and what approaches allow us to gain causal insight on that topic by observing phenomena ranging in scale from the molecular to the global.
Acquaints students with the central concept of causation across the biomedical and public health disciplines. Discusses how cause and effect relationships govern today's research and evidence-based decision-making based on the social, physical, political, and economic determinants of health. Compares how fields and sub-disciplines in biomedicine and public health approach causation using research case examples that illustrate major morbidity and mortality-related health problems. Examines strategies to mitigate the limitations of causal inference.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Explain three key concepts about causation: The Regularity Theory of Causation, The Counterfactual Theory of Causation, and the idea of necessary connection
- Describe how causal inference has been historically used in the health sciences
- Differentiate how causality is established among the biomedical and public health fields using research examples that illustrate global- morbidity and mortality-related health problems
- Recognize the limitations of causal inference in the public health sciences
- Recognize the limitations of causal inference in the public health sciences
Methods of Assessment
This course is evaluated as follows:
- 30% Case study work
- 40% Final Project
- 30% Course and discussion participation
This course is part of the JHSPH R3 Program series (jhsph.edu/r3gsi), and represents a collaborative effort across Departments and disciplines at the School.