Dean
Translating Research to Communities
What You'll Learn
- Understand concepts of population health research and the ethical use of data science to drive advances in human health.
- Understand the importance of involving communities in research.
- Explore models of community inclusion in conducting research and in sharing research findings, including contemporary public health examples.
3 Modules
6 Hours
2 hrs per module (approx.)
Rating
About Translating Research to Communities
Health research must positively impact the lives of the general population, so the public must receive and interpret research findings in a meaningful way. That is why translating research discoveries into practice is an important phase of the translational research spectrum.
In this course, you’ll gain an introduction to the concepts of population health research and the ethical use of data science to drive advances in human health. Specifically, you’ll learn about the computational models used in population health research, the function of community partners in conducting translational research and disseminating findings, as well as the role of population health during health crises like the COVID-19 pandemic, Opioid crisis, and the Flint, Michigan, USA water crisis.
This is the fourth of five courses in the “Translational Science” series.
Skills You'll Gain
- Clinical Trials
- Community-Based Participatory Research
- Community Health Improvement
- Healthcare Quality
- Population Health
- Research
- Translational Medicine
What You'll Earn
- Certificate of Completion:
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Welcome Message
Welcome to Translating Research to Communities! This course, the fourth in the 5-part Translational Science series, introduces learners to research involving communities. Whether you are a researcher or an invested community member, this course provides practical strategies, examples, and resources to engage in community-focused research. By completing the course, you will gain confidence in understanding research processes and applying them collaboratively.
This abbreviated syllabus description was created with the help of AI tools and reviewed by staff. The full syllabus is available to those who enroll in the course.
Course Schedule
Module 1
- Reading: Welcome to Translating Research to Communities
- Reading: Pre-Course Survey
- Reading: Syllabus
- Reading: Acknowledgements
- Reading: A Framework for Value: Creating Learning Health Systems
- Reading: Defining a Learning Health System
- Video: Exploring the Role of Health Systems
- Reading: What is Community Engagement?
- Reading: U.S. Center for Disease Control: What is Community Engagement?
- Reading: Blog: Community Partners and Community Engaged Research
- Graded: What is a Learning Health System?
- Graded: Understanding Community Engagement
Module 2
- Reading: Engaging Communities in Research: A Community Perspective
- Reading: Why Science Needs Community Engagement
- Reading: Why Community Engagement Matters
- Video: Interview with Rebecca Hasson: Forming Your Research Team
- Video: Interview with Donald Vereen: Building Trust
- Video: Interview with Rogerio Pinto: Forming Collaborations
- Reading: The Use of Community Engaged Research Principles to Improve Health: Community Academic Partnerships for Research
- Reading: Community-Based Participatory Research (CBPR)
- Reading: Racial Bias in Pulse Oximetry Measurement
- Graded: Recognizing Community Engagement
- Graded: Identifying Study Team Members: Community Research
Module 3
- Reading: What is PCORI and what does it do?
- Reading: The Value of Engagement
- Reading: Dissemination of PCOR (Patient Centered Outcomes Research)
- Discussion Prompt: Revisiting Your Individual Development Plan (IDP)
- Graded: Examples of Community Engaged Research that has been Translated back to Basic Science Discoveries
Grading Policy
Learners will engage in quizzes and activities to demonstrate mastery of the material. Passing requires achieving 80% overall. There are five quizzes each worth 20% of your final grade.
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
No prior experience required
