Research Analytics Summit 2024

Document Type



Every institution has a strategic goal for more research funding and results. The drive for funding is inextricably tied to competition for top researchers, and competition for researchers is directly related to investments in and optimization of research space on university campuses. The case for focusing on space is critical when you expect each lab to produce $1 million or more in expenditures every 4 years. How can you use data analytics to optimize space allocation for research? How can you creatively use under-utilized spaces for short- and long-term research investments? This session will discuss Carnegie R2 and R1 and USNWR rankings as related to strategic research investments, cover key challenges in aligning PI, space and expenditure datasets, and demonstrate the use of data tools to optimize space assets.


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