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Data Science for Social Good: Predicting air pollution in a post-COVID world? episode artwork

EPISODE · Jun 10, 2022 · 55 MIN

Data Science for Social Good: Predicting air pollution in a post-COVID world?

from The Turing Podcast · host The Alan Turing Institute

In this episode Christina catches up with two of her former collaborators, Prithviraj Pramanik and Dr. Subhabrata Majumdar. The three of them worked as volunteers at Solve for Good (a platform to connect social good organizations with volunteer data scientists to solve socially beneficial challenges). The team discusses their work with UNICEF to build a post-pandemic global air pollution model to help map child exposure to harmful air pollutants.

What this episode covers

In this episode Christina catches up with two of her former collaborators, Prithviraj Pramanik and Dr. Subhabrata Majumdar. The three of them worked as volunteers at Solve for Good (a platform to connect social good organizations with volunteer data scientists to solve socially beneficial challenges). The team discusses their work with UNICEF to build a post-pandemic global air pollution model to help map child exposure to harmful air pollutants.

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Data Science for Social Good: Predicting air pollution in a post-COVID world?

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Frequently Asked Questions

How long is this episode of The Turing Podcast?

This episode is 55 minutes long.

When was this The Turing Podcast episode published?

This episode was published on June 10, 2022.

What is this episode about?

In this episode Christina catches up with two of her former collaborators, Prithviraj Pramanik and Dr. Subhabrata Majumdar. The three of them worked as volunteers at Solve for Good (a platform to connect social good organizations with volunteer data...

Can I download this The Turing Podcast episode?

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