All
Projects
Products
Events
Competitions

How Can We Make Data-driven Decisions to Reduce Whole Life Cost and Carbon?

How Can We Make Data-driven Decisions to Reduce Whole Life Cost and Carbon?

As we embark on a new decade, discussions surrounding the sustainability and longevity of our buildings have reached fever pitch, particularly within the context of the UK’s commitment to a 2050 target of carbon neutrality and a 33% reduction in whole life cost by 2025.

Leading the way in innovative thinking is Cartwright Pickard, who alongside the Mackintosh School of Architecture have conducted research into new software that will greatly assist the government in achieving these essential targets.

The revolutionary technology will integrate advanced BIM (Building Information Modelling) with cloud-based whole life cost and carbon databases, enabling those commissioning and designing buildings to make better and more informed decisions at every stage of the design process.

As the initial two-year Knowledge Transfer Partnership research project concludes, hear directly from the researchers about the power of 7D BIM.


6.30pm - Drinks reception

7pm - The potential of 7D BIM: Dr Mariangela Zanni (Head of Research for Sustainable Development, Cartwright Pickard), James Pickard (Founding Director, Cartwright Pickard) and Philipp Lammers (BIM Manager, Cartwright Pickard)

7.40pm - Q&A session

8pm - Drinks and canapes

This event was submitted by an ArchDaily user. If you'd like to submit an event, please use our "Submit a Event" form. The views expressed in announcements submitted by ArchDaily users do not necessarily reflect the views of ArchDaily.

Cite: "How Can We Make Data-driven Decisions to Reduce Whole Life Cost and Carbon?" 21 Jan 2020. ArchDaily. Accessed . <https://www.archdaily.com/932348/how-can-we-make-data-driven-decisions-to-reduce-whole-life-cost-and-carbon/> ISSN 0719-8884

You've started following your first account!

Did you know?

You'll now receive updates based on what you follow! Personalize your stream and start following your favorite authors, offices and users.