
Massachusetts Institute of Technology, Schwarzman College of Computing
Massachusetts, USA
Project details
Client
Massachusetts Institute of Technology
Collaborator
Skidmore, Owings and Merrill, Research Facilities Design
Duration
Sep 2019 – Aug 2020
海角视频 provided by 海角视频
Advisory, Higher education consulting, Strategy and operating model design advisory
海角视频 worked with Skidmore, Owings & Merrill and Research Facilities Design to create the vision, program, and design for MIT鈥檚 new Schwarzman College of Computing.
The College is a hub connecting centers and labs across engineering, architecture, business, and the humanities to use computation while understanding its social and ethical implications.
Planning the first home for a new College in an emerging discipline combined strategic planning and facilities planning and the creativity to invent the future rather than repeat the benchmarks of the past.
Challenge
海角视频’s advisory team worked with the Dean of the College of Computing, MIT leadership, and a faculty stakeholder group to craft a vision for the new College of Computing, understand the needs of the College and the research teams that will be housed in the building, and to develop a detailed space program for the new building.

Solution
We conducted stakeholder interviews to gain a broad understanding of the various goals and visions for the College. Through faculty interviews and surveys, we were able to understand users’ space needs by the type of research activities envisioned and distil these needs into a series of research 鈥榩henotypes,鈥 each with associated space and infrastructure requirements.
This approach gave the future building greater flexibility to conduct interdisciplinary research and was more attuned to how research teams worked and collaborated.
In a field experiencing explosive enrollment and research growth, programming would entail a complex set of trade-offs to best meet the new College鈥檚 spaces. In order to better and quickly assess a variety of program scenarios, our strategy and operating model design team built a parametric model using data provided by the Institution and our internal benchmarks.
Using the flexible model, leadership was able to quickly and easily choose the options to best meet the users鈥 needs and the College鈥檚 strategic goals, within the constraints of the site and budget.

Value
The Schwarzman College of Computing used our program as the basis for the design of the new research hub.
The mix of formal instructional and informal learning spaces within the program is used to teach computer science to students throughout the Institution, and the laboratory spaces brings together research teams from across the Institution to apply computing to fields as varied as biology, materials science, and engineering.
