LEMURS RADARWPI Major Qualifying Project
In collaboration with experts at the Clinical Affective Science Lab (CASL) at UMASS Amherst, we have iteratively designed, developed, and evaluated an interactive visual dashboard to support medical staff in monitoring risk alerts about serious mental distress by students needing potential support.
The dashboard demo uses synthetic student records generated by our data creation program.
LEMURS Radar Project Team Members and Contributions
CS/DS
Skyler contributed primarily to project organization and team coordination throughout the development process. She also served as the main point of contact for communication with project advisors and clinicians, coordinating emails and scheduling interviews. In addition, she contributed to the early design sketches of the clinician-facing dashboard and worked on the front-end implementation, including the hover-based risk trend chart on the main page.
CS
Jeffrey contributed primarily to the development of the clinician-facing dashboard. He implemented the main dashboard page for the first iteration of the dashboard as well as the display and design of the revised dashboard individual student page, in addition to various debugging tasks throughout the application. It should be noted that Jeffrey was registered for half the credit load during the second semester of the project.
CS
Dan contributed primarily to graph displays across both the first iteration of the dashboard and the second. In the research-facing dashboard, Dan focused on the heatmap. In the clinician-facing dashboard, Dan produced the multitude of graphs that appear on the individual student page. Also contributed to general bug fixes along the way. Dan led all the clinician interviews, and focused on those sections of the paper as well, along with the introduction to the report.
CS/DS
Nixon served as the Project Lead and oversaw the technical implementation of the LEMURS RADAR dashboard. He contributed to the full stack development of both the researcher-facing and clinician-facing dashboards, with a focus on user data management and display. His work included the development of data generation tools, the implementation of the student display page and visualizations, and the design and iteration of initial sketches for the clinician-facing dashboard. He also completed additional implementation, testing, and debugging tasks required to finalize the system and project deliverables.
CS
Willem contributed primarily to the main dashboard page development, as well as deployment to development and production servers. On the main dashboard, he designed and implemented the student information tiles, filters, and search functionality. He also led the initial containerization and deployment of the project, using Docker and WPI servers to host the project and its services. It should be noted that Willem was registered for half the credit load during the second semester of the project.
LEMURS Radar Dashboard Screenshots and Project Poster
We would like to sincerely thank Professor Elke Rundensteiner, who is a professor in Computer Science, Data Science and Artificial Intelligence at WPI, for providing the opportunity to work on this project and her sustained guidance in the direction of the project.
We appreciate the assistance of the rest of the WPI LEMURS RADAR project team, namely, the PhD students - Kevin Hickey, Dennis Hofmann, Avantika Shrestha, and Peter VanNostrand - for helping with various external dependencies, providing input on the functionality and intended usage of the technology in the context of the LEMURS RADAR project.