Data-driven analysis of the Impact of COVID19 in Austin

Although the application date for this project is past, the project is still ongoing. You may still wish to contact this professor about other ways of getting involved with this work. Please attend an info session or contact email for more information.

We have created a data visualization of the impact of COVID 19 in Austin, check it out here: www.covid19atx.net

For this project, we're looking for some Python/scikit-learn experts to analyze the data (and perhaps pull in some more) using unsupervised methods (clustering, matrix profile) to determine stages in the pandemic using a data-driven approach. In addition, duties include adding new data to web dashboard.

This could be filled by up to 2 students.

Project Website
http://www.covid19atx.net
Qualifications

python programing
work with APIs
eventually website scraping
scikit-learn library is a must

Project Timeline

start asap, throughout summer 2021, eventually fall 2021

Duties

analyze data
create visualizations
update/maintain online dashboard

Typical Time Commitment
10hr/week
Desired Length of Commitment
2
Tags
COVID
machine learning
data analysis
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Project Lead
Who to Contact
Zoltan Nagy
Contact Email
nagy@utexas.edu

I'M INTERESTED IN THIS PROJECT. WHAT SHOULD I DO NEXT?

The Office of Undergraduate Research recommends that you attend an info session or advising before contacting faculty members or project contacts about research opportunities. We'll cover the steps to get involved, tips for contacting faculty, funding possibilities, and options for course credit. Once you have attended an Office of Undergraduate Research info session or spoken to an advisor, you can use the "Who to contact" details for this project to get in touch with the project leader and express your interest in getting involved.

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