Advances in AI, robotics, and other technologies require new collaboration spaces.
Technology such as AI, robotics, cloud labs, and quantum computing are helping scientists iterate faster, reproduce science more accurately, and rapidly process data. Collaborative-based work environments will become more valuable as the increasing complexity and volume of data require broader expertise and new ways of visualizing and processing data.
Scientific innovations will depend on multidisciplinary research.
As computing power increases through quantum technology, AI is required to help analyze and translate exponentially larger volume of data across scientific disciplines such as biology, chemistry, and engineering. Multidisciplinary approaches to scientific problems demand flexible spaces that support focus work, collaboration, and interaction among diverse disciplines.
Specialized, small-scale manufacturing can accelerate scientific innovation.
There is an increasing demand to locate pilot plant and bench-scale manufacturing closer to researchers to facilitate more effective collaboration. Instead of large warehouses focused on mass production, smaller-scale localized labs can target specific problems, which can rapidly iterate and prototype solutions, physically allowing scientists to troubleshoot and engage in-person with the target audience.