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Overview

Welcome challengers!  The COVID Computational Challenge seeks to create an innovative solution to determine the risk of exposure to COVID-19 in locations in and around the City of Los Angeles. This two-week challenge will provide ideas and concepts to help deepen our understanding of the issues that may increase or decrease COVID-19 exposure risks, how to calculate these risks, while being respectful of data privacy. Projects will be reviewed by a panel of judges from the City of LA, LA County Department of Public Health, Chamber of Commerce, and academia.

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overview

Welcome challengers! The COVID Computational Challenge seeks to create an innovative solution to determine the risk of exposure to COVID-19 in locations in and around the City of Los Angeles. This COVID-19 risk scoring is for various locations like shopping malls, meeting spots, office centers, restaurants to provide guidance for risk mitigation to serve our LA communities. The solution must also incorporate the ethical protection of individual data and respect data privacy norms. Projects will be reviewed by a panel of judges from the City of LA, LA County Department of Public Health, Chamber of Commerce, and academia.

overview

 

Timeline

 

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The Problem

 

In the next two weeks you will determine the risk of exposure to COVID-19 in locations in and around the City of Los Angeles.

  • Features that may increase or decrease COVID-19 exposure risks

  • Assist with the transition to re-open by predicting location-based risk scores

  • Proposed methodology to implement risk score assessment

  • Actionable steps for risk mitigation and to improve risk score

Training session on 5/27 at 2 PM PST: click here to join

 

Data

 

Participants are highly encouraged to use the open data resources highlighted below. If proprietary data is used, it must be documented for our judges to understand and reproduce your work. The datasets below contain both static and time varying spatial-temporal features related to COVID-19, documentation included on site.

To get started, you can begin with these datasets. View Dataset

Free training on epidemiology, spatial analytics, data science, and more:

 

Submission Deliverables

 

  • Source code required
  • README file explaining how to run your codes. If you use Java or C++, please also include the commands you use to compile your code (we should be able to compile, and if necessary, run your code and see the output files generated)
  • Technical Report in PDF with names of all team members and team name required
    • Your report should include the following sections: Introduction, Data, Methodology, Result, Implementation Proposal, Risk Mitigation Recommendations, Acknowledgement, and Reference. Please refer to the Problem Statement to check that your solution answers the prompt.
  • CSV of your results with the location and location-base risk score
  • Optional is presentation and demo recording

 

Guidelines

 

Stage 1:  Registration

 

Each team members will register on GRMDS. Be sure to check the box stating your intent to register for the data science competition. We will send out a confirmation email to all candidates upon successful registration. Add info about your team in the Team Registration Form. If any questions, please email: covid.challenge@rmdslab.com.

 

Stage 2:  Team work and submission

 

Submissions must include all the coding, CSV file of your risk score predictions, and technical report and are due Monday June 8 at 11:59 PDT. Please upload all deliverables to the GRMDS. Place the names of all team members and team name on the technical report. Submission by any individual group member will represent the whole team.

 

Stage 3:  Evaluation and Final Presentation

 

Our expert committee from Chamber of Commerce, City and County of LA, RMDS, and academia will evaluate all project deliverables and select the finalist teams. The evaluation criteria will be disclosed in the future announcement. The city of LA may work with partners to deploy and use the winning models to score risks to guide our communities in the form of alerts accessed via map, website, or app

 

Prizes

 

Cash prizes, internship opportunities, and certificates of participation will be awarded for first and second place. Teams will also be awarded for most ethical consideration and most reusable code or algorithm.

  • Cash prizes of over $3K

  • Considerations for internship positions at the City of Los Angeles, UCLA Computational Medicine, and other partner organizations

  • 1on1 mentorship with data executives

  • Recommendation of winners’ technical report for publishing at Harvard Data Science Review magazine

  • Certificates for winners and contestants who make a complete submission

  • Invitation to present at IM Data 2020

 

Code of Conduct

 

The use of data will adhere to ethical use and protection of individual data privacy. Find the Code of Conduct here

 

Frequently Asked Questions

How do I register?

The registration form can be found here. (You must be signed in to view the form.)

How do I form a team?

Participants are welcomed either as individuals or as teams. In the case of teams, one person must be designated as the team leader and will be solely responsible for communications with the organizers.

How do I register as a Mentor?

For Mentors, we’re seeking members of the business, academic, and research community. We ask our Mentors to hold office hours for 2 hours per week for the two-week duration. To register as a Mentor for the competition, please go to the link here. 

How do I make submissions and what are the deliverables?

Submissions can be made here. See above section “Submission Deliverables” to see what must be included in your submission.

What is the deadline to register?

There is no deadline for our registration. But we strongly recommend that your registration is no later than 05/29 since you need time to prepare your work.

How does the number of team members impact potential cash prize offerings?

The number of team members will not impact potential prize offerings. The prize offerings will remain the same.

Can teams comprise members from different cities/countries?

Yes. We welcome people from different cities or countries to join our competition. This competition is open to the global community.

How do I get in contact with the organizers?

If you have any questions, please email: covid.challenge@rmdslab.com. We’ll get back to you as soon as we can.

I already registered my team but need to update my team info. What should I do?

If you need to update your team roster, fill out the form here

What training material do you have to help my team get started?

Please see resources listed on this page, including recordings of competition training sessions. There is also a dataset starter list and further reading material here.

How do I find a mentor for my team?

You may find mentors and email them here with any questions or requesting feedback on your work.

How do I join another team?

Please fill out the form here. If any further questions you could email us at covid.challenge@rmdslab.com.here with any questions or requesting feedback on your work.