The Office of the Provost has contracted with Academic Analytics to provide a new platform designed to streamline and elevate the faculty evaluation and advancement experience. This effort is being guided by the Office of the Provost under the auspices of the Faculty Excellence and Advancement initiative that aims to ease the faculty evaluation, promotion and tenure processes through a single point-of-entry that will provide enhanced functionality and improved consistency.

To supplement data already compiled by Academic Analytics, the FEA project team will collaborate with colleges and units throughout the university to feed additional data from disparate systems into Academic Analytics’ Faculty Insight tool to ensure the information collected is as thorough as possible.

In the fall of 2024, faculty who will be going up for tenure and/or promotion during the 2025-26 cycle are invited to review and update their information in the current Faculty Insight system. This information, along with the aforementioned data feeds, will be moved into the new FEA system in 2025.

In the spring of 2025, faculty will be invited to enter the system to verify and supplement their individual profiles as needed. Faculty submitting promotion and tenure packets for evaluation during the 2025-2026 cycle will utilize the new system to review, edit, supplement and route their materials. The Faculty Insight tool will eventually also be further leveraged to enable faculty to:

  • Identify colleagues within and outside of UF who could serve as potential collaborators
  • Showcase scholarly activity through curated profiles
  • Identify funding and honorific award opportunities

If you have questions or would like more information about this initiative, please reach out to our project team at UF-FEA@ufl.edu.

Please note: In advance of this effort, under the auspices of its Benchmarking initiative, the Office of the Provost is also introducing Academic Analytics’ Peer Analysis tool to provide academic unit leaders and faculty with comparative research productivity data.