Ariel is researcher pursuing his PhD at Universidad Technologica Nacional – CONICET. The project ‘Exploring the Efficacy of Low-Cost Sensors in Air Quality Monitoring’ is in its nascent stages. It aims to establish a nation-wide network of air quality sensors to understand the different sources of emissions that are contributing to the poor air quality in various situations and environments. The data from these sensor networks is being used to develop sophisticated models that will provide robust insights and solutions to combat the root causes of air quality issues.

Their upcoming plans include the development of a prototype designed for measuring air quality in high-altitude mountainous regions. This innovation will contribute to a more comprehensive and nuanced understanding of air quality concerns, even in challenging environmental conditions.

Country Profile (Argentina): Opportunity Score 10.2 (High): Annual average PM2.5 levels are more than 2 times the WHO guideline. There is no public PM2.5 data produced by the government, but there is a national ambient air quality standard for PM2.5.