The Health Equity Resources and Outreach (HERO) program organizes, sponsors, and participates in events and projects designed to build skills and knowledge related to health equity and the inclusion of diverse populations in research. Most events are open to the public and free of charge.
HERO also takes on multidimensional projects involving professional and lay researchers, artists, community-based groups and local leaders on topics of shared interest, such as dementia and dementia caregiving in communities of color, or the delivery of health care services in remote rural areas.
During 2022 the Clinical and Translational Science Center HERO program held online events to spotlight important health and data equity topics. Each event listing below includes the presentation, video and any resource or tool mentioned during the event.
Clinical research has the potential to help advance health for everyone. But for that to work, it must include people from all groups. When communicating about research results, it is vital to explain who was being studied. This session includes subject matter experts that can help you learn more about how to address race in your research.
This resource can be searched by keyword, filtered and sorted by field(s). If you have questions about the tool or would like a consultation, please contact us at HERO@ucdavis.edu or 916-734-3746.
Tip: Not seeing any results? Clear the prior keyword searches, filters and sorts and try again.
This presentation focuses on helpful tools, resources, and methods for researchers. Topics include:
This resource can be searched by keyword, filtered and sorted by field(s). If you have questions about the tool or would like a consultation, please contact us at HERO@ucdavis.edu or 916-734-3746.
Tip: Not seeing any results? Clear the prior keyword searches, filters and sorts and try again
Alice Popejoy, Ph.D., presents her research and a graph-based data model and mobile application that facilitate the collection, storage, aggregation, and use of open-ended, as well as structured, data types. Categorical and free-text data from different studies can be combined to reveal complexity in human populations that racialized frameworks have erased. Objectives include characterizing the history of racial and ethnic classification in research and medicine and to investigate a novel approach using graph-based data model.
This resource can be searched by keyword, filtered and sorted by field(s). If you have questions about the tool or would like a consultation, please contact us at HERO@ucdavis.edu or 916-734-3746.