Data driven assessment of community needs across multiple axes; currently focused on COVID-19 but will be useful for other pandemics or disasters.
We are looking for someone to help expand our dataset and improve our vulnerability index models. An individual volunteer would not have to work on all the below goals and we can accommodate multiple contributors.
Our current dataset draws from 10 different validated, open-source datasets from the CDC, FCC, Robert Wood Johnson Foundation, Johns-Hopkins University, and others. It contains socio-economic, demographic, health, and infrastructure information about every US county. We currently have over 50 variables and 8 constructed vulnerability indices.
Exploring advanced ML- based or statistical models Define targets for supervised models and train models to possibly improve accuracy of vulnerability indices. Use unsupervised models to better understand community similarities
Longitudinal impact studies Replicate the vulnerability indices for extended time periods, look for major shifts in specific areas and correlate them with real events. Other validation studies to understand the usability and accuracy of our models.
The updated data and metrics will be incorporated into our dashboard which is available free of charge to non-profits, health systems, and individual community members. We are currently developing partnerships with key non-profits and analytics organizations to understand how they can best use this tool. We use a phase structure to organize project work and are currently wrapping up Phase 2 which focuses on finalizing our three key metrics (COVID-19 case severity, economic harm, and mobile health). Phase 3 will begin August 1 and will focus on improving the other 5 metrics and transitioning to more advanced analyses.
Initial scope at project creation time.