Graduate Course Directory and Schedules

This is an introductory course on complex topics related to data equity, which guide one to conduct health research with inclusivity, equity and justice in mind. Topics include the concepts of data equity and data justice; eugenics in statistical history; and data equity framework in health research including study design, data collection, data governance and sovereignty, visualization, analysis and interpretation, communication and dissemination. Additional topics will include biases and impacts of using social variables in clinical algorithms and prediction models, and potential approaches to address the biases. More topics will be added to incorporate new ideas and advances as appropriate. This course will illustrate concepts through examples and case studies, promote critical thinking in data equity, and facilitate collaboration and discussion among students.