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Women are living, learning, and leading towards a sustainable future. Their stories can help us all accelerate toward that vision in the built environment. Design the Future is a podcast created to elevate and explore the voices of women driving sustainable practices in the built environment and related fields. Lindsay Baker, a sustainability and social impact leader, and Kira Gould, a writer and communications strategist, host these conversations.
Kayleigh Houde is an Associate Principal and Global Computational Projects Lead at Buro Happold, where she is responsible for the harmonized development of new technologies within the open-source coding platform BHoM. Her leadership extends to chairing the MEP 2040 Commitment, participating in the ECHO Project and ASHRAE Center of Excellence for Building Decarbonization. She is also a lecturer at the University of Pennsylvania, where she teaches Parametric Life Cycle Assessment.
We spoke with Kayleigh soon after the MEP 2040 and Carbon Leadership Forum had released The Beginner’s Guide to MEP Embodied Carbon, a critical resource that was eagerly awaited in the community. Naturally, we spoke with her about that effort and about the broader question of why embodied carbon is important for MEP practitioners. “We have coalesced a lot of data to to bridge gaps for the MEP disciplines and provide clarity about the MEP impact,” she says.
Kayleigh’s technical leadership is paralleled by her deep commitment to collaboration across disciplines, evidenced in many ways, including her work on the ECHO effort to harmonize data across disciplines and certification programs.
“Computers aren’t the thing,” Kayleigh says of the potential of computation in climate work and the built environment. “They are the thing that gets you to the thing. Really, what computations helps you to solve are some of issues that we have in human collaboration. Sometimes we think we’re connecting but we are not really speaking the same language. Getting people to talk and collaborate is a big part of the solution in the computational work.”
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