Abstract
The start of the current decade has been marked by challenges arising from service disruptions associated with the spread of COVID-19, impacting the education and healthcare sectors particularly deeply. Ongoing efforts to virtualize data acquisition in related scientific disciplines have often neglected to design user-facing technologies which adequately scale for large audiences, effectively depriving them from resource-limited individuals. The lack of physical hardware necessary to implement specific features remotely further complicates such efforts. To improve access for all individuals and combat widespread distribution inequities in medical and educational institutions, the Remote Hub Lab (RHL) and its core research projects are designed to introduce new, scalable technologies targeted towards telehealth and higher learning.
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Notes
- 1.
RELIA is funded by the National Science Foundation, award # 2,141,798.
- 2.
- 3.
Osto-mate project is funded by UW Research Royalty Funds, and by a NSF I-Corp grant.
- 4.
RHL-Butterfly is funded by Intel Corporation.
- 5.
RHL-BEADLE is funded by Intel Corporation.
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Hussein, R. et al. (2023). Remote Hub Lab – RHL: Broadly Accessible Technologies for Education and Telehealth. In: Auer, M.E., Langmann, R., Tsiatsos, T. (eds) Open Science in Engineering. REV 2023. Lecture Notes in Networks and Systems, vol 763. Springer, Cham. https://doi.org/10.1007/978-3-031-42467-0_7
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