Bryan Hubbell|Amanda Kaufman|Louie Rivers|Kayla Schulte|Gayle Hagler|Jane E. Clougherty|Wayne E. Cascio|Dan Costa
Understanding social and behavioral drivers and impacts of air quality sensor use
Environmental Protection Agency|Environmental Protection Agency|North Carolina State University|University of Oxford|Environmental Protection Agency|Drexel University|Environmental Protection Agency|Environmental Protection Agency
lowercost air quality sensors hundreds thousands dollars available individuals communities technology undergoing rapid fragmented evolution resulting sensors uncertain data quality measure different air pollutants possess variety design attributes individuals communities choose use sensors arguably influenced social context example community experiences environmental exposures health effects related interactions industry government affect trust traditional air quality monitoring date little social science research conducted evaluate sensors sensor data used individuals communities introduction sensors changes relationship communities air quality managersthis commentary uses risk governanceresponsible innovation framework identify opportunities interdisciplinary research brings together social scientists air quality researchers involved developing testing deploying sensors communitiespotential areas social science research include communities sensor users drivers use sensors sensor data behavioral sociopolitical ethical implications introducing sensors communities assessing methods communicating sensor data harnessing crowdsourcing capabilities analyze sensor datasocial sciences enhance understanding perceptions attitudes behaviors human factors drive levels engagement trust different types air quality data new transdisciplinary research bridging social sciences natural sciences engineering design fields study involving citizen scientists working professionals variety backgrounds increase understanding air sensor technology use impacts air quality public health