ChoreoNova Ticketing System; Uber Health: Mobile Health Adapting to Changing Times
Crowder, David, School of Engineering and Applied Science, University of Virginia
Ku, Tsai-Hsuan, EN-Engineering and Society, University of Virginia
Ibrahim, Ahmed, EN-Comp Science Dept, University of Virginia
The technical thesis, ChoreoNova Ticketing System, describes the process and design that my Capstone group and I ended up implementing for our client. The other three members in my Capstone group included Vivian Pham, Jared Taylor, and Eldon Luk. All four of us are Computer Science majors in the engineering school.
Our client for our Capstone project was Davida Rae. Her nonprofit dance company, ChoreoNova, needed a ticketing system. They didn’t want to continue using third party systems like EventBrite as they wanted to have control over the details of their events as well as direct control over ticket information, seating information, and demographics information.
The technical thesis goes over all of the technical aspects of our system. This includes the technology we used to implement the system, the models used to store information in the database, the views that the users of the site would interact with, and extraneous information about the system.
The STS thesis, Uber Health: Mobile Health Adapting to Changing Times, discusses different aspects of mobile health, in particular Uber Health. Uber Health as a system was introduced in 2018 as a branch of Uber. I discuss what benefits mobile health have to certain communities, including the main motivation as to why healthcare providers and patients would be encouraged to use Uber Health.
I use the STS framework of ANT to analyze how Uber Health started in 2018, with discussions about whether or not people could manipulate potential users with fraudulent systems. I also discuss their evolution from their inception during 2018 to their more current business prospects at the beginning of 2020. I try to highlight certain strategies and components of their system that they were able to introduce, including strategic partners and features that easily replace existing solutions, to win over portions of society into using their system.
However, I also write about the potential revamping that they may have to do in the near future because of the COVID-19 pandemic. In a world where people feel unsafe to go to the doctor, I try to analyze and predict what Uber Health could and should do in order to continue with their model as normal once this subsides. Currently, they are using Uber Health as a way to deliver healthcare workers during the crisis. Once the crisis is over, though, they’ll have to deal with a panicked population who are unwilling to go to a hospital.
The technical and STS theses are not related.
BS (Bachelor of Science)
Uber, Uber Health, Mobile Health, Django, GitHub
School of Engineering and Applied Science
Bachelor of Science in Computer Science
Technical Advisor: Ahmed Ibrahim
STS Advisor: Tsai-Hsuan Ku
Technical Team Members: Vivian Pham, Jared Taylor, Eldon Luk