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Equity Science, Health Equity, and Big Data is a Course

Equity Science, Health Equity, and Big Data

Time limit: 60 days

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Full course description

 

 

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LEARNING OUTCOMES

One

Explain the term ‘equity science,’ and why it is important, especially for health communication.

Two

Describe inclusive and equitable research as the approach and method of practice for equity science.

Three

Define ‘big data’, and its powers and pitfalls to advancing equity, particularly health equity.

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COURSE DESCRIPTION

Welcome to Equity Science, Health Equity and Big Data. In this course, we will be elaborating on the words ‘equity’, ‘science’, and ‘big data’ and examining how they relate to each other. We will review Dr. Johnson-Turbes' definition of ‘equity science’ and evaluate reasons why equity science is important for health communication to advance health equity. In addition, we will outline ways that you can apply inclusive and equitable research in your work and finally discuss the buzz word ‘big data’ and its intersection with equity science and health equity. Lessons learned from this course will help you conduct health communication and multidisciplinary research that advances equity for all people. 

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MEET YOUR INSTRUCTOR

 
 
 
 
 
 
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Interested in using this course as an educational resource?

Please reach out to us at uthealthcommtraining@austin.utexas.edu for additional information.

 

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