Duration & location
June 2017 – Aug 2017
Data Science & Analytics group in Pacific Northwest National Lab, Richland WA.
I was the UX person and worked with 3 other interns – 2 developers and 1 epidemiological statistician. All teams including ours were mentored by a Research Data Scientist, a Software Engineer and a UX Designer
UX methods used
Stakeholder/ SME interviews
Analytical task analysis
User interface design
Interactive prototyping (HTML, SCSS)
Project Requirements & Methodology
Biosurveillance anaysts collected raw data (disease case counts and news articles) from multiple sources in order to monitor diseases globally. EpiEvident was a proof of concept application designed to improve the efficiency of the surveillance process by programmatically collecting the required standardized global disease case count data from different sources and visualizing it to support different analytical tasks.
Understanding User Needs
We interviewed 2 analysts and 3 stakeholders to identify our primary user, their goals and needs.
Identifying User Tasks
User Interface and Visualization Design
We explored several visualization options such as- Scatterplot View, Geo View & Matrix view. However, through multiple discussions with visualization and design experts, we decided to proceed with a combination of matrix view and a line chart.
Proof of Concept/ Interactive Prototype
Epi Evident: Biosurveillance to Monitor, Compare, and Forecast Disease Case Counts. Online Journal of Public Health Informatics, 10(1). Tomaszewski, N., Agnihotri, M., Cheng, H., Bhadke, A., Henry, M., & Charles, L. E. (2018)