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Data Science Approaches to Improve Maternal and Child Health in India

Challenge Goal (Short Title)

Developing and validating approaches to foster maternal and child health is difficult due to the interaction of biological, environmental, and social factors. Furthermore, policy recommendations for such approaches frequently lack sufficient supporting scientific evidence, while clinical trials are expensive, time-consuming, and increasingly difficult to implement. There is now a key opportunity to accelerate research in this area by analyzing existing data arising from multiple sources in India and formulating public health recommendations that are data-driven and cost-effective.

Application Date Range
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Opportunity Description

Developing and validating approaches to foster maternal and child health is difficult due to the interaction of biological, environmental, and social factors. Furthermore, policy recommendations for such approaches frequently lack sufficient supporting scientific evidence, while clinical trials are expensive, time-consuming, and increasingly difficult to implement. There is now a key opportunity to accelerate research in this area by analyzing existing data arising from multiple sources in India and formulating public health recommendations that are data-driven and cost-effective.

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