MDEN Presentations (2022-2023 Academic Year)

Summary

Mobile Data Expert Network (MDEN) is a collaborative problem-solving network at the University of Michigan comprised of staff and junior faculty who develop and share tools and documentation that enhance the reproducibility and rigor of U-M studies using mobile devices. MDEN members routinely host presentations about mobile data and tools. These are the recordings available from the 2022-2023 academic year.

 

Playlist

 

Data Curation for Micro Randomized Trials in Mobile Health:
Vignettes motivated by the Mobile Assistance for Regulating Smoking (MARS) micro-randomized trial.

Presented on May 15, 2023 by Jamie Yap.

A presentation from the University of Michigan's Mobile Data Expert Network (MDEN), covering research methodology concepts such as Just in Time Adaptive Interventions (JITAI) and Micro - Randomized Trials. Also covered data structures used in two clinical trials and the complexities around processing mixed CSV + JSON data in R. Presented at the MDEN monthly meeting on May 15, 2023 by Jamie Yap, a data scientist at the d3c center in the Institute for Social Research (ISR).

Event Webpage: N/A
Slides: N/A
Video: https://www.youtube.com/watch?v=4_IBUamMiZ4

 

 

MiNap Sleep Diary Smartwatch App

Presented on July 31, 2023 by Anika Raisa Chowdhury, Max Liu, Raphael Chin, and Quishi Zhao.

MiNap, created by students participating in the University of Michigan ITS Summer Internship Program, replaces paper sleep diaries that are commonly used in sleep research. The program allows participants to record a sleep diary right on their smartwatch (Apple Watch, Fitbit, Garmin) or in the companion mobile app. The students presented the software to MDEN and discussed the project in detail--including software architecture, mobile data analysis, and deployment.

Event Webpage: https://michmed.org/DyzwV
Slides: MiNap Sleep Diary presentation slides for MDEN.pptx
Video: https://www.youtube.com/watch?v=V_8BmH0xwQ4

 

Notes

  • None.

 

Resources

 

 

About the Author

Gabriel Mongefranco is a Mobile Data Architect at the University of Michigan Eisenberg Family Depression Center. Gabriel has over a decade of experience in data analytics, dashboard design, automation, back end software development, database design, middleware and API architecture, and technical writing.

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