With a focus on breaking down barriers to federal funding, the program ensures that underserved and marginalized communities can access resources to address pressing environmental and climate injustices, including air quality monitoring. Learn more!
Hailing from Greece, Sotirios Papathanasiou is an air quality expert. His blog, See The Air, focuses on air quality monitoring, pollution analysis, and activism pushing cities around the world to concentrate on clean air.
The wide acceptance and adoption of indicative monitoring technologies in air quality management practices are enabling new insights and actions at lower costs, higher data resolutions, and with less maintenance. For these benefits to truly shine through, we must first address the most important question when it comes to taking air quality readings as truth - how accurate is the sensor?
Mean Absolute Error (MAE) is calculated to determine the absolute difference between the measurements of a device under analysis and the measurements of a reference instrument. It is the average of the absolute value of the deviations between measurements of the two devices. In other words, it shows how different measurements from the two devices are in value.
The Pearson squared correlation coefficient (R²) is calculated to determine how measurements from a device under analysis correlate with measurements of a reference instrument, or in other words, how well the device under analysis measures changes in pollutant concentration compared to the reference instrument.
Whether you’re looking to purchase a mask, researching DIY protective gear, or a tinkerer and data nerd like us, read on to see how we set up an experiment to design our own PPE and test out different protective masks.
As we post this blog, most of our daily lives have been disrupted by the coronavirus COVID-19 outbreak. During a time of uncertainty shrouded by fear, we are grateful for first responders, medical staff, and scientists everywhere at the frontline of this pandemic.
Clarity is launching one of our most exciting projects to date: a 150-sensor network in Paris with Bloomberg Philanthropies and the City of Paris to better understand air quality within and around schools in the French capital.
Technology can be used to move policy, by providing better datasets to mayors. Panelist David Lu, CEO of Clarity Movement, highlighted the power of data.
We now have smart homes and smart cars, so it’s no surprise that our cities are becoming smarter every day. One problem plaguing many big cities is air pollution, and one company is using technology to help remedy the problem.
TenX has invested in Clarity, a three-year-old company that makes air-pollution monitoring devices which provide hyper-localised and real-time air-quality readings in metropolitan areas.