Using Sensors and Embedded Computation to Understand Cities

Tuesday, October 3 | 9:00am-9:45am
Charlie Catlett - Director, Urban Center for Computational Data, University of Chicago, Argonne National Laboratory

Cities are heterogeneous, with conditions and challenges ranging from air quality to mobility to health varying widely between neighborhoods.  How can cities make better use of existing data, and how can new technologies offer more precise measurements to provide insight into urban challenges? Catlett will discuss the work that Argonne National Laboratory, and the University of Chicago are doing in partnership with the City of Chicago and other cities through the Array of Things project, focusing on new opportunities related to embedded systems and integrated data platforms.

Sensors and Cyberphysical Sensing Networks for Water and Agriculture

Wednesday, October 4 | 9:00am-9:45am
Supratik Guha - Director of the Nanoscience and Technology Division and the Center for Nanoscale Materials, Argonne National Laboratory

The affordability of computing today, progress in nanomaterials and sensing devices, the increasing availability of data, and the emergence of low power wireless networks have made this an opportune time for the emergence of cyberphysical sensor networks for agriculture, water, and the environment. Supratik will discuss three projects at different stages of development: (i) a two year pilot experiment with Gallo wineries and IBM that used satellite imagery data to calculate and then deliver water to vineyards in a pixelized manner via drip irrigation--resulting in improvements in yield and water efficiency; (ii), the development of Thoreau ( first university based fully sub-terranean sensing network for soil that we have built at the University of Chicago, and (iii) a planned pilot for temporal and geospatial mapping of water quality in the Godavari River in Southern India.  Through the descriptions of these projects Guha will try to argue that a key bottleneck for ubiquitous use of these technologies lies in the development of cheap, reliable, and scalable sensing packages. He will also describe a few of the key sensing challenges for water and agriculture.