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Vicki Ellingrod
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/f88j0d/translating
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What's inside
Syllabus
Week 1
Welcome to the course Translating Research to Communities. The process of moving evidence-based clinical discoveries into widespread health practice is a critical part of the translational research spectrum. This week you will learn how to 1) define the concept of a learning health system, and 2) define community engaged research including how the terms 'community' and 'stakeholder' are defined.
Read more
Syllabus
Week 1
Welcome to the course Translating Research to Communities. The process of moving evidence-based clinical discoveries into widespread health practice is a critical part of the translational research spectrum. This week you will learn how to 1) define the concept of a learning health system, and 2) define community engaged research including how the terms 'community' and 'stakeholder' are defined.
Read more
Week 2
Welcome to Week 2 of the course Translating Research to Communities. This week you will learn to 1) discuss the importance of the involvement of communities in research, 2) describe examples of research into practice (implementation science), and 3) identify common research techniques used in community engaged translational research.
Week 3
Welcome to Week 3 of the course Translating Research to Communities. This week you will 1) discuss the role of the federal government in supporting and regulating community engaged translational research, and 2) discuss the role of culture on research/ pragmatic clinical studies.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Students in healthcare, public health, social work, and community work are part of the core audience for this course
Learners with a foundational understanding of research methods and public health will most benefit from this course
Save this course
Save Translating Research to Communities to your list so you can find it easily later:
Save
Save
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Translating Research to Communities with these
activities:
Review data science techniques
Show steps
Data science techniques are used extensively in this course, and refreshing your knowledge will prepare you to better understand the content covered in this course.
Browse courses on
Data Science
Show steps
-
Review basic probability and statistics concepts.
-
Review linear regression and logistic regression.
-
Review basic machine learning algorithms, such as decision trees, random forests, and support vector machines.
Find a mentor in data science
Show steps
A mentor can provide guidance and support as you learn about data science and apply it to your career.
Browse courses on
Data Science
Show steps
-
Identify potential mentors.
-
Reach out to potential mentors and introduce yourself.
-
Ask for their advice and guidance.
Find tutorials on data science techniques
Show steps
Further your understanding of data science techniques by finding and following tutorials that cover the specific techniques used in this course.
Browse courses on
Data Science
Show steps
-
Search for tutorials on specific data science techniques, such as linear regression or decision trees.
-
Follow the tutorials and complete the exercises.
-
Review the material covered in the tutorials.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend a data science workshop
Show steps
Attending a data science workshop will provide you with an opportunity to learn from experts in the field and network with other data scientists.
Browse courses on
Data Science
Show steps
-
Research data science workshops in your area.
-
Register for a workshop that interests you.
-
Attend the workshop and participate in the activities.
Practice solving data science problems
Show steps
Practice solving data science problems to improve your understanding of the techniques and algorithms covered in this course.
Browse courses on
Data Science
Show steps
-
Find data science problems to solve.
-
Solve the problems using the data science techniques covered in this course.
-
Review your solutions and identify areas for improvement.
Volunteer with a data science organization
Show steps
Volunteering with a data science organization will give you hands-on experience and allow you to network with other data scientists.
Browse courses on
Data Science
Show steps
-
Identify data science organizations in your area.
-
Contact the organizations and inquire about volunteer opportunities.
-
Volunteer with an organization that interests you.
Create a data science project
Show steps
Applying your knowledge of data science techniques to a real-world project will solidify your understanding and prepare you to apply these techniques in your career.
Browse courses on
Data Science
Show steps
-
Identify a data science problem to solve.
-
Gather data and explore it.
-
Build a data science model to solve the problem.
-
Evaluate the performance of your model.
-
Deploy your model and track its performance.
Review data science techniques
Show steps
Data science techniques are used extensively in this course, and refreshing your knowledge will prepare you to better understand the content covered in this course.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Review basic probability and statistics concepts.
- Review linear regression and logistic regression.
- Review basic machine learning algorithms, such as decision trees, random forests, and support vector machines.
Find a mentor in data science
Show steps
A mentor can provide guidance and support as you learn about data science and apply it to your career.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Identify potential mentors.
- Reach out to potential mentors and introduce yourself.
- Ask for their advice and guidance.
Find tutorials on data science techniques
Show steps
Further your understanding of data science techniques by finding and following tutorials that cover the specific techniques used in this course.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Search for tutorials on specific data science techniques, such as linear regression or decision trees.
- Follow the tutorials and complete the exercises.
- Review the material covered in the tutorials.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Attend a data science workshop
Show steps
Attending a data science workshop will provide you with an opportunity to learn from experts in the field and network with other data scientists.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Research data science workshops in your area.
- Register for a workshop that interests you.
- Attend the workshop and participate in the activities.
Practice solving data science problems
Show steps
Practice solving data science problems to improve your understanding of the techniques and algorithms covered in this course.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Find data science problems to solve.
- Solve the problems using the data science techniques covered in this course.
- Review your solutions and identify areas for improvement.
Volunteer with a data science organization
Show steps
Volunteering with a data science organization will give you hands-on experience and allow you to network with other data scientists.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Identify data science organizations in your area.
- Contact the organizations and inquire about volunteer opportunities.
- Volunteer with an organization that interests you.
Create a data science project
Show steps
Applying your knowledge of data science techniques to a real-world project will solidify your understanding and prepare you to apply these techniques in your career.
Browse courses on
Data Science
Show steps
Show steps
Show steps
- Identify a data science problem to solve.
- Gather data and explore it.
- Build a data science model to solve the problem.
- Evaluate the performance of your model.
- Deploy your model and track its performance.
Career center
Learners who complete Translating Research to Communities will develop knowledge and skills
that may be useful to these careers:
Social Epidemiologist
Social Epidemiologist
A Social Epidemiologist studies the relationship between social factors and health outcomes. This course may be useful as it provides an introduction to population health research and the ethical use of data science to drive advances in human health.
Population Health Scientist
Population Health Scientist
A Population Health Scientist conducts research to improve the health of populations. This course may be useful as it provides an introduction to population health research and the ethical use of data science to drive advances in human health.
Community Health Educator
Community Health Educator
A Community Health Educator develops and implements health education programs and materials to promote healthy behaviors and improve health outcomes in communities. This course may be useful as it provides an introduction to community engaged research, including how to involve communities in research and disseminate findings.
Science Writer
Science Writer
A Science Writer creates and edits scientific content, such as journal articles, grant proposals, and press releases. This course may be useful as it provides an introduction to population health research and the ethical use of data science to drive advances in human health.
Research Scientist
Research Scientist
A Research Scientist conducts research in a variety of fields, including health care, social sciences, and environmental science. This course may be useful as it provides an introduction to population health research and the ethical use of data science to drive advances in human health.
Health Policy Analyst
Health Policy Analyst
A Health Policy Analyst researches and analyzes health policy issues to inform decision-making. This course may be useful as it provides an introduction to population health research and the role of population health during health crises.
Sociologist
Sociologist
A Sociologist studies the social behavior of humans, including their health behaviors. This course may be useful as it provides an introduction to population health research and the ethical use of data science to drive advances in human health.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data to make informed decisions. This course may be useful as it provides an introduction to the computational models used in population health research and the ethical use of data science to drive advances in human health.
Public Health Nurse
Public Health Nurse
A Public Health Nurse provides health care and education to communities to improve health outcomes. This course may be useful as it provides an introduction to population health research and the role of population health during health crises.
Public Health Program Manager
Public Health Program Manager
A Public Health Program Manager plans, implements, and evaluates public health programs to improve health outcomes in communities. This course may be useful as it provides an introduction to community engaged research and the role of population health during health crises.
Health Services Researcher
Health Services Researcher
A Health Services Researcher conducts research to improve the quality, efficiency, and effectiveness of health care services. This course may be useful as it provides an introduction to population health research and the ethical use of data science to drive advances in human health.
Clinical Research Manager
Clinical Research Manager
A Clinical Research Manager oversees all aspects of clinical trials, from study design and patient recruitment to data collection and analysis. This course may be useful as it provides an overview of the translational research spectrum, including the process of moving evidence-based clinical discoveries into widespread health practice.
Medical Writer
Medical Writer
A Medical Writer creates and edits medical content, such as journal articles, grant proposals, and patient education materials. This course may be useful as it provides an introduction to population health research and the ethical use of data science to drive advances in human health.
Data Analyst
Data Analyst
A Data Analyst collects, cleans, and analyzes data to identify trends and patterns. This course may be useful as it provides an introduction to the computational models used in population health research and the ethical use of data science to drive advances in human health.
Biostatistician
Biostatistician
A Biostatistician designs studies, collects and analyzes data, and interprets the results of studies in the biomedical field. As a Biostatistician, you may work in academia, government, or industry, and your research may have a direct impact on public health. This course may be useful as it provides an introduction to population health research and the ethical use of data science to drive advances in human health.
For more career information including salaries, visit:
OpenCourser.com/course/f88j0d/translating
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Translating Research to Communities .
Examines the social, economic, and environmental factors that contribute to health disparities in the United States and explores interventions to address these disparities.
Save
Provides an overview of the social determinants of health. It covers the different factors that influence health and the ways in which they can be addressed.
Provides a detailed overview of participatory action research (PAR) methodologies and discusses the ethical and practical considerations in PAR.
Offers an overview of global health, focusing on the social, political, and economic determinants of health outcomes. It explores the challenges and opportunities in improving health around the world.
Provides a foundation in epidemiology, the study of the distribution and determinants of health-related states and events in populations. It covers the basic principles and methods used in epidemiological research.
Save
Provides a concise overview of the social determinants of health, emphasizing the impact of poverty, education, and social support on health outcomes.
Provides a practical guide to community health nursing, including assessment, planning, and intervention strategies.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/f88j0d/translating
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Level
Introductory
Via
Coursera
Institution
University of Michigan
Instructor
Vicki Ellingrod
Language
English
This course belongs to a
collection
called
Translational Science . It's comprised of four courses:
- Translating Research to Communities (viewing)
- Translating Basic Research into Research for Humans
- Translating Research to Patients
- Translating Research to Healthcare Policy
Good to know
Students in healthcare, public health, social work, and community work are part of the core audience for this course
Learners with a foundational understanding of research methods and public health will most benefit from this course
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