Sciences
Deerfield Headquarters and CURE. Innovation Campus
Genmab
Confidential Pharmaceutical Company
3151 Market Street
IQHQ Research and Development District (RaDD)
Organon
225 Wyman
222 5th Ave N
Roche
Foundation Medicine Headquarters
Dispatch Biotherapeutics
London Cancer Hub
ElevateBio
100 Chestnut
eleven50
Hatch by Longfellow
Aperture Del Mar
Pacific Center
Confidential Sciences Robotics Site
Celularity
Leidos Global Headquarters
Jabil Innovation Center
Lamar University Science and Technology Building
IQVIA
2407 University Avenue Mixed Use
TMC3 Translational Research Campus
WPI Innovation Studio and Messenger Residence Hall
U.S. Laboratory Research Scientist Survey 2023
Design for Laboratory Resilience: A Compliance Approach to Climate Risk Assessment
Using an “All-Spokes” Approach to Optimize Lab Space
Using Design to Support Case-Based Learning in Medical Education
How Life Sciences Developments Can Redefine Urban Areas
The Benefits of Repurposing Stranded Assets as First-Generation Labs
Fast.Forward.: A New Model for Academic Science Facilities
Designing for the Convergence of Science at The Engine
The Benefits of Nurturing Organizational Pride in Life Science Workplaces
5 Strategies for Labs to Meet ESG Targets
Resuscitating Buildings for Life Sciences and Healthcare
SHED: Connecting the Dots Between Education, Industry, and Technology
Implementing Science Research Lab Design Strategies in Wineries
Trends to Watch: The Evolution of the Sciences Workplace
Labs and Sciences: Consider This for Adaptive Reuse
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.