Tue, Jun 20|
Boston University Data Science Building
Boston Smaht: BU Data Science Building
Exclusive event showcasing the remarkable achievements of the Data Science building—an all-electric, net-zero energy facility that exemplifies sustainability and innovation.
Time & Location
Jun 20, 4:00 PM – 6:30 PM EDT
Boston University Data Science Building, 665 Commonwealth Ave, Boston, MA 02215, USA
About the event
The event aims to enlighten attendees about the Data Science building's cutting-edge design, advanced technologies, and its contribution to reducing carbon emissions. This exceptional structure epitomizes Boston University's commitment to environmental stewardship and energy efficiency. It serves as a beacon of inspiration for those passionate about sustainable development and the future of clean energy.
The informative session will include:
4:00p-4:45p Arrival and Guided Tours: Experience the state-of-the-art facilities and witness firsthand the incredible sustainable features that make the Data Science building a net-zero energy structure.
4:45p - 5:30p Expert Talks: Engage with esteemed faculty members, distinguished researchers, and industry professionals who will share their insights into the building's design, energy systems, and its impact on the environment.
Boston University: Elijah Ercolino, Executive Director of Planned Maintenance & Engineering https://www.linkedin.com/in/elijahercolino/
BR+A Consulting Engineers: Joshua Michaud, Associate Principal https://www.linkedin.com/in/jmichaudpe/
Schneider Electric: Estelle Monod, Senior Vice President, Building Segments President https://www.linkedin.com/in/estelle-monod-49b7991/
Panel Moderation: Nathaniel Soucy, Account Executive, Schneider Electric New England https://www.linkedin.com/in/nathaniel-soucy-8a06a1a0/
5:30p - 6:15p Q&A Session: Seize the opportunity to interact with the experts and have your questions answered, gaining a deeper understanding of the technologies implemented and the journey towards achieving net-zero energy.
6:15 - Later Networking Opportunities: Connect with fellow attendees, scholars, and professionals interested in sustainability and data science, fostering valuable relationships within the academic and industry communities. We will be heading to a local spot off campus to wrap up with any networking.
Please confirm your attendance at your earliest convenience, as spaces are limited.