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"We needed high-density data to develop a model that was representative of a real situation on a very local scale – so multiple devices and multiple locations. The Clarity Node-S was ideal for this use case."

Having a larger network of sensors where we have a better resolution of where air pollution is worse or better will be beneficial in allowing us to change behaviors, educate people more, or do all sorts of things to improve the health of those people

"Clarity provided an off-the-shelf solution that was easy to deploy. Clarity Nodes are easy to set up and after reviewing a co-location we had in place, the data was in line with our expectations. The flexibility in changing the data capture rate was key — I was able to remotely configure the nodes to collect data at a higher or lower resolution as needed."

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"We don’t have a lot of staff time to spend setting up or fine-tuning this equipment — Clarity’s managed service model allows us to multiply the number of sensors in our network with minimal additional overhead on our end. We're going from six particulate matter monitors to more than 20 — with one placed in each local municipality — so we expect to have more granularity in looking at how smoke impacts people across our three-county jurisdiction."

"Air quality is a hidden issue in the sense that it's become so embedded in aspects of urban life in San Francisco. It can be a challenge for residents who have been living in the neighborhood for a long time to articulate what their air quality issues are. Some have just accepted it as a way of life.”