Seattle University’s Spectator profiled the new Center for Science and Innovation, discussing how the new facility, designed to maximize collaboration and active learning, will allow for growth and expansion across numerous departments.
Our feature in Tradeline reports on how the increased focus on STEM across higher education has a pronounced impact on liberal arts colleges, typically resulting in new construction or the renovation of existing science buildings.
The technical challenges facing BIM adoption today and in the future, are largely the result of legacy workflow protocols triggered by current software. Though our current BIM solutions have served us well over the last decade, they may not be built to lead us for future success. In particular, they have not created scalable, open or granular access to the information we create during design activities. To be most effective, future BIM implementation needs to consider the entire lifecycle of BIM data, including its consumption by downstream users. Current BIM applications create massive datasets, often within a single file. Given that we will have more – and more widely distributed – BIM teams in the future, greater granularity of BIM data will be vital for the collaborative consumption of information. Instead of continuing to create ever larger files, we need to conceptualize and structure the BIM environment for quick and easy access. We imagine an arrangement where BIM is comprised of many tiny pieces of data we are calling atomicBIM – i.e., BIM in small, discrete pieces of data. An atomized information structure would provide granularity and rapid access so that subsets of BIM information could be more easily accessed without a massive download. More
While we currently operate largely within the 3rd generation of BIM, we increasingly see owner requirements that suggest the next generation of BIM is fast approaching. In the 4th generation of BIM – BI(m) – the information contained in the model becomes more important than the 3D model element itself. One of the more concrete examples of BI(m) is the COBie (Construction to Operation Building Information Exchange) requirement, where design and construction-phase information is transferred to an owner for the operation of the building. Instead of creating a mountain of paper, all the information on equipment within the BIM model – color, model, manufacturer, links to PDFs on the component - is extracted into a spreadsheet format so that owners can easily access information for the future maintenance and operation of building equipment. In this newest generation of BI(m), the owner is able to benefit from the information in the model without actually having to deal with the model itself. More
Cleanrooms for nanofabrication, bioengineering and tissue processing are among the most technically complex and costly core facilities to build. Architecture alone can't realize these special spaces: it takes a team of expert collaborators. More
According to EdSurge News, Bryant University’s new Academic Innovation Center (AIC) exemplifies the classroom of the future. Bryant built on lessons learned from its faculty, the University’s prototype classrooms, spaces and programs at other leading institutions, and makerspaces in the Tech industry to create a new genre of academic building.
U.S. and Danish healthcare design teams are collaborating to test and explore design solutions that balance innovation, best practices, and cultural sensitivities. In Medical Construction & Design's "Developing a New International Healthcare Standard," EYP explores how the consortium is working toward the ultimate goal of developing a new international model and standard for healthcare facilities and patient care.
In June of 2016, at the start of a new MassChallenge Accelerator program, 12 start-ups applied for the EYP Scholarship for Design Innovation. Our goal was to identify and support start-ups who inspire creativity and problem-solving through design. More
If we are to advance a sustainable future, buildings must become more proactive organisms than reactive machines. Responding to ever-expanding performance criteria that are neither constant nor predictable will require disruptive design innovation. More