The Culturally Situated Community Sensing project is based on an open-source modular environmental sensing platform. This would be used in educational workshops, but also to facilitate conversations about how environmental monitoring could be conducted at low-cost and without a base requirement of having advanced technical skills. These ideas were built on a large field of research in ‘participatory sensing’ also called ‘citizen sensing’. The platform is built on an Arduino architecture.

From the 3Helix blog…

We invite you to read the real stories of fellows’ research and classroom experiences. The entries below include their work with CSCSs.

SGIS is Live!


sgis-final-screenshotWe are excited to announce that SGIS is live on our community site! Anyone is welcome to play around with the loaded data sets including hazardous was sites for the entire US, Census tracts from 2000 and 2010, and food availability data from across New York State! You can tag locations with categories or other information (new tags need approval) and filter on these tags. You can also draw circles around a user-defined location for your reference using the pencil icon in the top right.

Social GIS: Where we are and where we’re going


SGISSocial GIS is software that allows students to examine census data and compare it to various data sets, like grocery store locations or fast food restaurants. This allows students to explore real-world data and learn more about their neighborhoods.

Currently, a website administrator can import data from various sources most APIs and capability to import new source formats, including unique batch files, can easily be added. Once imported, students can map the points, add tags, create their own custom tags (subject to teacher/administrator approval), filter points by tags, and overlay census tracts.

In the future, we are going to import data from James’ environmental sensors using a mobile application to collect and send the data to the Social GIS server. We are also planning to add new capabilities, including built-in analytic tools and the ability to export data to C-Snap for graphing and further analysis using C-Snap’s programming tools.

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