We collaborate with engineers, scientists, and community groups to design and deploy technologies with the potential to amplify environmental justice perspectives. Then we use social science methods to assess how well those technologies worked for communities.
P R O J E C T
Meaning from Monitoring
Real-time air monitoring at oil refinery fencelines gives up-to-the-minute information, but doesn't enable adjacent communities to spot trends
or systemic issues.
Worked with community members to create AirWatchBayArea.org, an interactive website that displays monitoring data and accepts users’ reports about environmental conditions.
Does the new website help community groups use monitoring data in their campaigns?
Does it enable residents and researchers to improve knowledge of the long-term impacts of refinery emissions?
Press for air watch bay area
New air quality monitoring site, app launched, Benicia Herald
As part of the Summer of Maps project, Azavea intern Sarah Gates created a series of infographics visualizing pollution released from refinery flaring, and sensitive receptors in close proximity to Bay area refineries. Read her description of the project.
View or download the infographics:
Randy Sargent, CREATE Lab, Carnegie Mellon University
Dawn Nafus, User Experience Innovation Lab, Intel Labs Cheryl Holzmeyer, Research and Outreach Associate
Crockett-Rodeo United to Defend the Environment (CRUDE) and Rodeo Citizens Association, especially Janet Callaghan, Nancy Rieser, and Janet Pygeorge
Benicia Good Neighbor Steering Committee, especially Constance Beutel and Kathy Kerridge
Denny Larson, Community Science Institute
Jesse Marquez, Los Angeles Community Environmental Enforcement Network
This project was made possible by a CAREER Award from the National Science Foundation (Award 1352143), and the hard work of Drexel students Derek Parrott (M.S., Science, Technology, and Society, 2016) and Amy Gottsegen (undergraduate, Computer Science).
P R O J E C T
Real-Time Health Monitoring
Health concerns are paramount in communities adjacent to point source polluters. Fenceline monitoring programs measure air quality, but don’t collect data about residents’ health.
Equip fenceline community residents with off-the-shelf personal monitoring technology to generate real-time data relevant to their health, enabling them to explore possible correlations between air quality and health symptoms.
Does having personal health data change the way that residents make sense of air quality data?
What data processing tools and other resources do they find most helpful for making sense of data?
The project has received funding and other support from Intel Labs. Drexel student Matt Salvetti (B.A., Sociology, 2016) provided valuable support to Phase 1.
For more information on the project, click here.