Pediatric COVID-19 Data Challenge

The challenge is for innovators that are interested in developing computational models to help determine which pediatric COVID-19 patients are likely to develop severe illness and complications. Challenge participants will be asked to develop, train, and validate computational models to predict pediatric patients at risk for hospitalization, need for ventilation, and cardiovascular interventions, utilizing de-identified electronic health record data available through NCATS’ National COVID Cohort Collaborative (N3C) Data Enclave.

The total cash prize purse is $200,000, split among up to three winners. Winners may also be eligible to apply for follow-on support from BARDA for further technology development and clinical evaluation. 

 

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