We conducted 2 Data Storytelling workshops on 19th April, 2022 and 26th April, 2022 in the School of Information Sciences. Together, we explored data from the pilot project, and other local air quality datasets (ACHD, SmellPgh, iNaturalist, etc.) using the free software Tableau Public. We introduced participants to the basic interface and working with Tableau, and conducted activities to enable storytelling through those datasets. We saw participation from 19 attendees, all interested in local air quality data and finding ways to reduce air pollution in Pittsburgh. These workshops were sponsored by the Year of Data and Society at University of Pittsburgh. You can find the slides from the workshops here: First workshop - 19th April, 2022 Second workshop - 19th April, 2022 Datasets and maps that were used during the workshops The three main research questions we are trying to address are:
We conducted 3 information sessions between 8th May and 18th May 2021 to explain our system's intent and recruit 20 participants for the pilot project.
You can watch a recording and look through some Frequently Asked Questions to learn more about the project:
Frequently Asked Questions
As of 7th June 2021, we have received over 20 responses and will not be accepting any more participants for our pilot project at this time. We hope to expand the project and open it to everyone after the pilot project is complete.
The setup workshops will be conducted on 11th July at 11AM and 12th July at 6PM. Confirmed participants only need to attend one of the workshops.
Pittsburgh has a legacy as SW PA's industrial center, however this legacy comes with Allegheny County consistently ranking among the worst air-quality regions in the country. Consistently monitoring air quality and understanding its effects on human health and the surrounding biosphere has been challenging, due to the specialized and expensive nature of monitoring equipment, as well as inadequate governmental support. However, with newly developed low-cost sensors, easy-to-use electronic equipment, and Citizen Science, it has become possible to regularly monitor the environment that we live in, and to make sense of it with the help of our own experiences.
We are developing a network of low-cost sensors that are integrated into a locally-based social-network platform (Slack) for citizens concerned about their environment to build neighborhood connections, locally around the fresh perspectives they gain from sensing the world around them.
The low-cost sensing devices are Smart Citizen Kits installed in Citizen Scientists' homes, to measure Air Quality (PM2.5, eVOCs, eCO2), Air Temperature, Relative Humidity, Noise levels, Ambient Light, and Barometric Pressure. These readings are automatically collected by the SCK and sent to the social media system, with the server routinely injecting analyses of these data into the social network.
Participants also collect manual readings with rain gauges and upload the data into the system, along with observations and their own analyses of the data collected by their devices. Through this increased engagement with environmental metrics and a network of concerned citizens, it is our aim to understand and better conserve the natural resources in the environment around us.
Combined with other sources of environmental data, the system complements existing official sources and provides researchers and residents of a neighborhood with data that has better spatial and temporal resolution.
We are currently preparing for a pilot deployment of the Social-Sensing System in the Nine Mile Run Watershed, Pittsburgh, PA. Upstream Pittsburgh (formerly Nine Mile Run Watershed Association) has been active in stewarding the watershed with a variety of innovative urban ecology projects designed to directly involve the watershed residents in helping to improve the health of the watershed.