This talk will be presented virtually via Zoom.
Abstract: My work 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, I present a study that aims to assist planning decisions by providing timing recommendations and assigning monetary values to modulations of PEV start and end charging times.
According to a report of the Institute for Electric Innovation, the number of PEVs in the United States doubled between 2013 and 2015 and is expected to reach 7% of the annual sales by 2020. Measures are needed to limit the potential power grid instability following this new technology.
In the second part, I present DeepAir, a convolutional neural network platform that combines satellite imagery and urban maps with weather and air monitoring stations data. Our 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.
BIDS Data Science Research Seminars feature Berkeley faculty and BIDS collaborators doing visionary research that illustrates the character of data science in this new decade. The series is offered to engage our diverse campus community and to enrich connections, discourse, and discovery among colleagues. All seminars are open to the public, and campus community members are especially encouraged to attend. Arrive half-an-hour early for light refreshments and discussion prior to the formal presentation.
Marta Gonzalez, is an Associate Professor with appointments both in Civil and Environmental Engineering and in City and Regional Planning at the University of California, Berkeley. She is also a Research Scientist in the Energy Analysis and Environmental Impacts Division of Lawrence Berkeley National Lab. Her research analyzes and combines spatial data on various complex systems, with applications to transportation networks, energy efficiency planning, and detection of urban lifestyles. Prior to joining Berkeley, she was an Associate Professor of Civil and Environmental Engineering at MIT.