COVID-19 Economic Recovery Tool for the City of Miami
How can we measure and predict the economic factors affecting the recovery of local business activity in Miami?
Data Force
Project Overview
While the COVID-19 pandemic spared no region in the world and left in its wake an unprecedented public health and economic crisis, it has exposed and exacerbated pre-existing socioeconomic inequalities both globally and domestically. Using publicly available datasets, we have built a model to identify neighborhoods in Miami that are most prone to post-pandemic recession. This will enable government officials and policymakers to make data informed decisions to spur the revival of the city’s economy.
Project Sponsor
U.S. Ignite
US Ignite is a 501(c)(3) nonprofit organization that partners with communities to accelerate the smart city movement. Founded in 2012 as inspiration from the White House office of Science and Technology Policy and the National Science Foundation, US Ignite seeks to bring all the necessary players together and combines financial investment with technical and organizational expertise.
Primary User
City of Miami Officials
The City of Miami is interested in learning about which zip codes are most affected by Covid-19 and what are the key contributing factors. As a result of our solution, city officials will be able to allocate resources to mitigate these effects.
Project Roadmap & Solution
1. Literature Review
Consult with subject matter experts
and conduct literature reviews
2. System Architecture
Create a system architecture
to understand the key process
3. Data Collection
Collect data from various sources
4. Data Tranformation
Perform data cleaning and wrangling
to understand correlation
5. Data Modeling
Apply Lasso regression
6. User Stories & Visualization
Create user story and generate final dashboard
Solution Benefit
1. Identify Miami’s ‘red zones’
2. Target resource allocation
3. Future-proof local economy
Meet the Team
Divya Suresh Kumar
Project Manager
Jordan Bethea
Solution Engineer
Wennie Hu
Data Engineer
Kevin Wu
Data Scientist
We are four graduate students studying Information Management at the University of Washington.
We are passionate about using data and technology to create positive social impact.