A crowdsourcing-based air pollution measurement system using diy atomic force microscopes

Article Article scientifique Article A crowdsourcing-based air pollution measurement system using diy atomic force microscopes eng 2016 author Lopez Martinez Daniel author Lombrana Gonzalez Daniel 784642 author Grey François 796587 author Hwu En-te 235-241 10.15346/hc.v3i1.14 2330-8001 Air pollutants have become the major problem of many cities, causing millions of human deaths worldwide every year. Among all the noxious pollutants in air, particles with a diameter of 2.5 micrometers or less (PM2.5) are the most hazardous because they are small enough to penetrate to the lungs and invade the smallest airways. Since the presence of dangerous levels of PM2.5, commonly reported in newspapers and on TV, is intertwined with the global pattern of production and consumption, there is a need for citizen science projects that engage the young generations in efforts toward reducing air pollution as they will become the future leaders of society. With this goal, and to enable the geo-temporal characterization of PM2.5, we present a crowdsourcing-based air pollution measurement system that uses affordable DIY atomic force microscopes to measure and characterize PM2.5, exploiting the power of human computation through an online crowdsourcing platform to study how PM2.5 varies over time and across geographical locations. Our system is intended as both a scientific platform and a teaching tool for children to engage in environmental policy. Pollution Pm2.5 Atomic force microscopy Crowdsourcing Cyberlab Dewey 025.063 Dewey 351 130 Rectorat et adjoints 0C1 13 Centre universitaire d'informatique 0D3 false Human Computation 3 1 681915d4-8277-4327-bc7d-f6e76ff33260 Article (Published version) Public 2016Lopez_Martinez_crowdsourcing_based_air_poll.pdf 1600387 application/pdf CC BY openAccess Rectorat et administration / Rectorat et adjoints Centres et instituts / Centre universitaire d'informatique

Title	Published in	Access level	OA Policy	Year	Views	Downloads

A crowdsourcing-based air pollution measurement system using diy atomic force microscopes	Human Computation			2016	427	404

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Lombrana Gonzalez, Daniel