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SUMMARY:AI Through a Rutgers Lens (Microsoft)
DESCRIPTION:AI THROUGH A RUTGERS LENS\nA three-part series in NYC exploring artificial intelligence. \nArtificial intelligence and machine learning tools are transforming human experience\, from education and business to policy and health care. The unprecedented growth of AI presents exciting opportunities for improving lives globally\, but it also intensifies profound ethical questions concerning privacy\, data confidentiality\, and bias. \nPlease join us as we explore the world of AI with help from Rutgers experts who wrestle with these questions daily. \nSocially Cognizant Robotics: Preparing for a future in which humans and robots regularly interact and society develops new rules \nWednesday\, February 7\, 2024 – Part Two\n8:30 a.m. – 10:00 a.m.\nMicrosoft\, 885 2nd Avenue\, 34th Floor\, New York\, NY \nREGISTER HERE \n“Implications for robot design”\nKristin Dana\nProfessor\, Electrical and Computer Engineering\nRutgers School of Engineering \n“Implications for planning and public policy”\nClint Andrews\nProfessor and Associate Dean for Research\nEdward J. Bloustein School of Planning and Public Policy \nContinental breakfast will be available. Business Casual dress requested. \nEnjoy informative discussions and networking opportunities in each installment. \nRegister today to join the Rutgers community for this exciting series!  Advance registration required. Kindly respond by Friday\, February 2\, 2024. \nGraciously hosted by Microsoft. Special thanks to Simon Liepold EJB’05. \n*Please save June 5\, 2024\, for part three.*
URL:https://dev.bloustein.rutgers.edu/event/ai-through-a-rutgers-lens-microsoft/
LOCATION:Microsoft\, 885 2nd Avenue\, 34th Floor\, New York\, NY 10017\, 885 Second Avenue\, 34th Floor\, New York\, NY\, 10017\, United States
CATEGORIES:Informatics
ATTACH;FMTTYPE=image/jpeg:https://dev.bloustein.rutgers.edu/wp-content/uploads/2023/12/AI-Microsoft.jpg
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SUMMARY:Leveraging Data-Driven Methods and Time-of-Use Data to Evaluate Urban Decarbonization Policies and Streamline Building Energy Audits
DESCRIPTION:Presented by Dr. Abigail Andrews\, Post-Doctoral Associate and NJ BPU Energy Fellow in Edward J. Bloustein School of Planning and Public Policy’s Center for Urban Policy Research.  \nIdentifying opportunities to minimize energy use and carbon emissions of buildings is important for urban decarbonization. However\, doing so often necessitates a capital-intensie building energy audit that requires time-intensive on-site inspections. As municipalities across the United States mandate various urban decarbonization policies (e.g.\, benchmarking\, audits\, and building performance standards) there is a growing need for building owners to audit buildings efficiently and at a low cost. Emerging data streams (e.g.\, automated meter infrastructure) allow the evaluation of real time energy use and carbon emissions data. This data not only provides a deeper understanding into building operations but also may provide audit insights and decarbonization opportunities. This seminar will discuss the potential of integrating time-of-use data in urban decarbonization policy and the development of an integrated physics-based model and data-classification method to identify potential inefficiencies in a building using electric meter data. Time-of-use energy data paired with machine learning may streamline urban decarbonization policy by improving the effectiveness and scalability of evaluation processes. \nDr. Andrews received her PhD in Civil and Environmental Engineering from Stanford University at the Urban Informatics Lab. She also holds a MS in Sustainable Design and Construction from Stanford University and a BA in Environmental Policy from Barnard College. Dr. Andrews uses data from building energy policies (e.g.\, benchmarking\, building performance standards\, auditing) to evaluate urban decarbonization potential and to push forward equitable building decarbonization. Currently\, Dr. Andrews is interested in how municipalities can encourage the design and construction of Grid-Interactive Efficient Buildings. \nFor questions Dr. David Coit (coit@soe.rutgers.edu)\, Dr. Aziz Ezzat (aziz.ezzat@rutgers.edu) or Dr. Elin Wicks (elm52@soe.rutgers.edu)
URL:https://dev.bloustein.rutgers.edu/event/leveraging-data-driven-methods-and-time-of-use-data-to-evaluate-urban-decarbonization-policies-and-streamline-building-energy-audits/
LOCATION:CoRE-101\, 96 Frelinghuysen Rd\,\, Piscataway\, 08854\, United States
CATEGORIES:Informatics,Public,Seminar,Urban Planning
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