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This ongoing work attempts to understand and address the requirements ofUNICEF, a leading organization working in children's welfare, where they aim totackle the problem of air quality for children at a global level. We aremotivated by the lack of a proper model to account for heavily fluctuating airquality levels across the world in the wake of the COVID-19 pandemic, leadingto uncertainty among public health professionals on the exact levels ofchildren's exposure to air pollutants. We create an initial model as per theagency's requirement to generate insights through a combination of virtualmeetups and online presentations. Our research team comprised of UNICEF'sresearchers and a group of volunteer data scientists. The presentations weredelivered to a number of scientists and domain experts from UNICEF andcommunity champions working with open data. We highlight their feedback andpossible avenues to develop this research further.

Towards an Open Global Air Quality Monitoring Platform to Assess Children's Exposure to Air Pollutants in the Light of COVID-19 Lockdowns