Proven Research Groups Consolidation Models

By Edwin Hargrave

Is it possible to reduce your footprint, increase your headcount, endure a relocation, and still be excited to come to work and be productive?

In this paper, TRIA Principal Edwin Hargrave, AIA will share how we’ve done it, including a look at relevant planning metrics and a case study.

TRIA’s data-driven planning metrics include overall area allocations, area allocations by space function, and area allocations for equipment and furnishings, all on a headcount basis. While these metrics will vary, they tend to fall within predictable ranges for specific branches of science; we’re able to use those ranges to right-size the overall program and its various components and deliver a highly functional space.

Key takeaways: to ensure success, you must define and quantify all programmatic requirements at the outset of the project, use consistent metrics to level the programmatic requirements, and conduct a transparent and inclusive planning process.

Read the full whitepaper here.