Aviation Data Science Lab Seminar Series
As the number of air vehicles grows with unmanned aerial systems and the amount of data grows in civil aviation, the future holds more promise for a greater impact from advanced tools and techniques in data science and AI. This Spring, learn from experts in government, industry, and academia in a 12-seminar series, sponsored by USRA and UC Berkeley with NASA Ames Research Center.
April 13, 2020: Given the ongoing COVID-19 circumstances, the NAMS Aviation Data Science seminar series will resume via videoconference.
Dr. Gonzalez uses data science to characterize how humans interact with the built and the natural environment seeking to plan for more sustainable and livable cities. Given the increasing ubiquity of plug-in electric vehicles (PEVs) in the Bay Area, she presents a study that aims to assist in planning decisions by providing timing recommendations and assigning monetary values to modulations of PEV start and end charging times.
According to the US Energy Information Administration, the number of PEVs in the United States doubled between 2013 and 2015 and are expected to reach 20 million by 2020.
In the second part, Dr. Gonzalez presents DeepAir, a convolutional neural network platform that combines satellite imagery and urban maps with weather and air monitoring stations datasets. The goal is to enable science-informed policy by understanding various inter-dependencies in the quality of the air, we breathe. These methodologies are aimed to be fully scalable and open source. The presented methods can be extended to other domains that involve human and environmental interactions.
Christine Dillard, Program Manager, USRA
The Aviation Data Science Seminar Series is a collaboration between USRA, NASA, and the University of California, Berkeley. For more information on the Aviation Data Science Lab at NASA Ames Research Center, please visit our web site.