221.629.79
Prospective policy analysis for health policy and systems research: methods and applications

Location
Internet
Term
Summer Institute
Department
International Health
Credit(s)
2
Academic Year
2023 - 2024
Instruction Method
Synchronous Online with Some Asynchronous Online
Start Date
Monday, June 5, 2023
End Date
Thursday, June 8, 2023
Class Time(s)
M, Tu, W, Th, 8:00 - 10:20am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Ligia Paina
Contact Name
Ligia Paina
Frequency Schedule
One Year Only
Next Offered
Only offered in 2023
Description
Have you wished you could be more agile in analyzing policy-relevant data? Are you seeking to engage with policy-makers in real-time and be more responsive to answering their current questions to support policy monitoring and decision-making? Are you interested in strengthening your skills to analyze publicly available policy documentation (e.g. meeting minutes) or public engagement (e.g. public comments or social media)? This course introduces learners to natural language processing and data science techniques to prepare learners to be more agile and to have the tools to support the use of evidence in policy making through policy monitoring and the analysis of evolving secondary data.
Introduces learners to tools and methods to facilitate aspects of real-time policy analysis (from agenda setting, policy formulation, to policy implementation) and supports them to think through and plan to conduct a prospective policy analysis to a current public health problem, as well as to identify ways of engaging with the policy making process for the identified problem.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Explain the purpose and role of prospective policy analysis in the broader health policy analysis domain
  2. Identify qualitative and quantitative techniques to conduct prospective policy analysis
  3. Develop a protocol for applying prospective policy analysis to a relevant problem
  4. Identify mechanisms to integrate the results of prospective policy analysis in the policy-making cycles
Methods of Assessment
This course is evaluated as follows:
  • 25% Participation
  • 50% Assignments
  • 25% Final Presentation
Instructor Consent
No consent required