221.648.79
Adaptive Management and Learning to Improve Health Programming in LMICs

Location
Internet
Term
Summer Institute
Department
International Health
Credit(s)
3
Academic Year
2024 - 2025
Instruction Method
Synchronous Online
Start Date
Monday, June 3, 2024
End Date
Friday, June 7, 2024
Class Time(s)
Monday, 8:00am - 12:50pm
Tuesday, 8:00am - 12:50pm
Wednesday, 8:00am - 12:50pm
Thursday, 8:00am - 12:50pm
Friday, 8:00am - 12:00pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Diwakar Mohan
James Ricca
Course Instructor(s)
Aleefia Somji
Contact Name
Diwakar Mohan
Frequency Schedule
One Year Only
Next Offered
Only offered in 2024
Description
Want to learn more about how to rapidly and systematically improve programming? Are you curious about how to use rapid qualitative methodologies (e.g. Most Significant Change) to monitor health programs? Are you interested in improving your facilitation skills?
Uses real-time data to help program managers be responsive to new information and circumstances. Focuses on the essentials of AML strategies for health programs, including complexity aware monitoring. Covers the three stages of the adaptive management cycle – design; monitoring; and pause & reflection. Covers illustrative tools such as description of intervention strategies and selection of adaptive indicators to inform design; monitoring tools like pulse polls and other complementary qualitative techniques like Most Significant Change; and pause & reflection strategies like after action review and learning meetings. Describes the adaptive cycle; explains the benefits and challenges of integrating AML into health programming; understands the types of information appropriate for use in adaptive programming; and applies facilitation skills to varied scenarios.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Describe Adaptive Management and Learning (AML) concepts and frameworks
  2. Explain AML's role in health programming in LMICs to achieve impact
  3. Apply a systematic cyclical process of incorporating AML in health programming
  4. Develop an understanding of AML tools and approaches, with a focus on rapid qualitative methodologies
Methods of Assessment
This course is evaluated as follows:
  • 20% Participation
  • 30% Assignments
  • 30% Group Work
  • 20% Group Project(s)
Instructor Consent
No consent required