Latest Reports

It can be hard to know whether a building initiative is meeting the mark by looking at anecdotal feedback about what worked and what didn’t. Pre- and post-occupancy data make it possible to evaluate the success of a design strategy. Studies indicate that the new Center for the Sciences & Innovation (CSI) at Trinity University in San Antonio, Texas, is attracting more students from all departments to the building, boosting integration between science and non-science majors, and increasing interest in STEM studies among incoming students at a rate of 50 percent.

The new 320,000-sf Knight Cancer Institute research building currently being built by Oregon Health and Science University (OHSU) on the south waterfront in Portland, Ore., will maximize scientific collaboration for more than 500 researchers through the use of flexible floorplans, shared equipment cores, and new ratio configurations for wet and dry lab space.

Organizations of all types are using location-based social media data and other user-generated information to improve workspace design and functionality. By researching occupancy data, user satisfaction ratings, and other metrics, facility designers are finding smarter ways to lower costs and create efficiencies. While some organizations mine existing trace data automatically generated by mobile devices and building management systems, others are developing customized platforms dedicated to capturing key information.

Today’s scientific researchers are improving their productivity, research outcomes, and technological advances by using the knowledge of many disciplines. This emerging field of “convergence science” goes beyond traditional collaboration to the much larger intellectual intersection of engineering, physical sciences, life sciences, and other disciplines, plus big data. In this model, research includes funding from private sources or foundations that demand marketable results quickly.

Designers of undergraduate engineering learning environments must draw from a broad range of solutions to meet the specific pedagogical needs of each institution, beyond the traditional “wet” or “dry” designation of basic science teaching labs. In addition to designing for appropriate equipment scale, strategies include pairing labs and teaching space, providing a variety of maker or innovation spaces, building fewer two-story high-bay areas, and using scaled options for airflow and ventilation.