Case Examples

Digital Twin: Diana’s “avatar” (her digital twin) would exist within an intelligent digital twin of her campus community.  This would include virtual representations of the student health center, dorms and classrooms, local hospitals and digital twins of other students, campus staff, faculty, etc. The system could: (a) capture data on her behavior and schedules; (b) identify patterns in this data that could impact her well-being (e.g., missed meals, stretching insulin); (c) predict the outcome of these behaviors; (d) suggest alternative interventions successfully used by others. Virtual Community: Diana could connect with students with T1D, access support resources for managing her T1D and school, crowdsource medical expertise from others within the digital community. She could connect to mentors for professional development, financial, academic, & psychological support resources. Diana would find a community with other URM graduate students, students from small rural towns, and students with T1D.  Community well-being could be monitored to assess the efficacy of interventions.
Intelligent Oracle: An oracle could use data from wearable technology to monitor Diana’s blood glucose level and overall health using analytics, machine learning, and optimization methods. The oracle could activate alarms that alert her and her virtual community (e.g., student health center) of potential health risks and recommend a wellness check by members of the community. Diana could view future consequences of her health choices and the oracle could recommend safer alternatives. Data regarding Diana’s financial behavior could lead to recommendations for financial management and opportunities. Her virtual community could be mobilized to contact her, activate campus resources, recommend strategies, and activate crowdfunding (e.g., GoFundMe). Virtual Well-being Platform: Diana’s personalized well-being monitoring system would be based on her preferences, priorities, resources, and needs. Information provided on the platform could be used by the Oracle to improve the quality of its analysis and recommendations. Diana could experiment with her choices, & visualize trade-offs (e.g., the consequences of stretching insulin to save money). She could connect her well-being platform to those of others (e.g., her parents) to achieve a closer connection from a distance and understand the potential impact of their actions and decisions on her own outcomes. Those within her support network (e.g., student health services and academic support) could build their own well-being monitoring platforms for the communities they serve.