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SUMMARY:How to capture actual carbon data of infrastructure more intellige
 ntly? A standardised data model perspective  - Dr Jinying Xu\, University 
 of Cambridge
DTSTART:20250130T120000Z
DTEND:20250130T130000Z
UID:TALK226678@talks.cam.ac.uk
CONTACT:Daniel Dalton
DESCRIPTION:Abstract:\n\nSustainability is the continued protection of hum
 an health and the environment while fostering economic prosperity and soci
 etal wellbeing. Specially\, one of the most intriguing problems in sustain
 ability is carbon measurement and analysis in infrastructure projects to m
 eet the Net-zero 2050 target. \nThe emission gap to achieve the net-zero t
 arget is huge. However\, we are not fully aware how good or how bad with a
 re doing for these targets. Data availability and quality are still found 
 to be the major issues with the current laborious and unreliable manual ca
 rbon data collection. Some digital systems that are being developed still 
 face the data trustworthiness and standardisation issues. \nTo address the
  issues and support the advanced carbon management purposes\, Dr. Xu propo
 ses an intelligent carbon data management system that can enhance the data
  trustworthiness with the aid of digital technologies. She will share her 
 research progress and results in developing the fundamental and standardis
 ed carbon data model.\n\nSpeaker Bio:\n\nDr Jinying Xu is a Marie Skłodow
 ska–Curie Fellow on the Future Roads Fellowship Programme in the Departm
 ent of Engineering\, University of Cambridge. She was awarded the Cambridg
 e Zero Darwin College David MacKay research associateship and the Cambridg
 e Centre for Smart Infrastructure and Construction (CSIC) Early Career Aca
 demics and Professionals Panellist. She received her Ph.D. from the Univer
 sity of Hong Kong\, MPhil in construction project management from Tongji U
 niversity\, Bachelor of Engineering in engineering management and Bachelor
  of Law in Sociology from Harbin Institute of Technology. \n\nDr Xu is int
 erested in data science for construction sustainability\, smart constructi
 on and facility management\, construction digital transformation\, human-o
 rganisation-technology fit\, and human-machine augmentation in engineering
 .
LOCATION:Seminar Room\, 2nd Floor South Wing (2S)\, Roger Needham Building
 \, University of Cambridge
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