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X-WR-CALNAME:Edward J. Bloustein School of Planning &amp; Public Policy
X-ORIGINAL-URL:https://bloustein.rutgers.edu
X-WR-CALDESC:Events for Edward J. Bloustein School of Planning &amp; Public Policy
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DTSTART;TZID=America/New_York:20240208T120000
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DTSTAMP:20260420T110032
CREATED:20240123T195519Z
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UID:56212-1707393600-1707397200@bloustein.rutgers.edu
SUMMARY:The New Jersey Safety and Health Outcome (NJ-SHO) Data Warehouse
DESCRIPTION:Allison E. Curry\, PhD\, MPH is an Associate Professor of Pediatrics at the University of Pennsylvania Perelman School of Medicine and a Senior Scientist and Director of Epidemiology and Biostatistics at the Center for Injury Research and Prevention at the Children’s Hospital of Philadelphia (CHOP). She is an injury epidemiologist by training and her research focuses on the prevention of motor vehicle crashes and support of safe transport across the lifespan. \nDr. Curry and her team have spent the last decade developing the New Jersey Safety and Health Outcomes (NJ-SHO) Data Warehouse—a statewide data source of traffic safety and health data that includes 24 million NJ residents—and have published nearly 50 research papers using these data. They are now working to establish the NJ-SHO Center for Integrated Data to ensure important safety data is available to support traffic safety efforts around the state. Dr. Curry is also the principal investigator of a large research program to support driving safety for teens with attention-deficit hyperactivity disorder and autism spectrum disorder\, their families\, and groups that support them during the learning-to-drive process.
URL:https://bloustein.rutgers.edu/event/the-new-jersey-safety-and-health-outcome-nj-sho-data-warehouse/
LOCATION:Bloustein School\, Civic Square Building\, 33 Livingston Avenue\, New Brunswick\, NJ\, 08901\, United States
CATEGORIES:Public,Seminar
ATTACH;FMTTYPE=image/jpeg:https://bloustein.rutgers.edu/wp-content/uploads/2024/01/njsafety-health-outcomes-curry.jpg
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DTSTART;TZID=America/New_York:20240227T121000
DTEND;TZID=America/New_York:20240227T133000
DTSTAMP:20260420T110032
CREATED:20240222T154453Z
LAST-MODIFIED:20240222T154453Z
UID:56833-1709035800-1709040600@bloustein.rutgers.edu
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://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
ATTACH;FMTTYPE=image/jpeg:https://bloustein.rutgers.edu/wp-content/uploads/2024/02/soe-abigail-andrews-leveraging-data.jpg
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