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Speaker: Huining Li
Date: Jan 29, 11:45am–12:45pm Abstract: Mobile health technologies are increasingly recognized as a means to bridge health disparities due to their high accessibility, cost-effectiveness, and global connectivity. However, research indicates that if these technologies are not implemented thoughtfully, they could exacerbate health disparities and raise issues, such as privacy and fairness. In my talk, I will discuss my recent efforts in addressing these challenges. Firstly, I will present a novel mobile health framework designed to protect privacy while efficiently managing and assessing neural disorders, such as Parkinson’s disease. Secondly, I will introduce innovative, fairness-aware computational methods for mobile mental health applications. Both of these applications have been successfully deployed in real-world settings, actively involving participants in delivering equitable and responsible mobile health services. Biographical Sketch: Mobile health technologies are increasingly recognized as a means to bridge health disparities due to their high accessibility, cost-effectiveness, and global connectivity. However, research indicates that if these technologies are not implemented thoughtfully, they could exacerbate health disparities and raise issues, such as privacy and fairness. In my talk, I will discuss my recent efforts in addressing these challenges. Firstly, I will present a novel mobile health framework designed to protect privacy while efficiently managing and assessing neural disorders, such as Parkinson’s disease. Secondly, I will introduce innovative, fairness-aware computational methods for mobile mental health applications. Both of these applications have been successfully deployed in real-world settings, actively involving participants in delivering equitable and responsible mobile health services. Location and Zoom link: 307 Love, or https://fsu.zoom.us/j/96042346268 |
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