Working with Academic Analytics Data to Inform Honorific Award Efforts with Humanities Colleagues
February 3, 11:00am-11:30am EST
Speaker: Richard Wheeler, Senior Advisor, Academic Analytics, Professor of English Emeritus and Dean of the Graduate College Emeritus, University of Illinois at Urbana-Champaign
Join a discussion on how to utilize data to inform conversations with leaders amongst your humanities faculty. They will review data on the rate at which humanities faculty receive honorific awards as compared to their peer faculty on campus. The hope is to provide attendees with the ability to engage their colleagues in a meaningful manner so as to be able to draw out the contextual expertise their faculty retain on this matter.
Utilizing Academic Analytics for the Recruitment of External Reviewers
February 25, 11:00am-11:30am EST
Learn how Academic Analytics can assist with the recruitment of external reviewers for academic program and department reviews. We will walk through a report intended to identify research peers with similar publication concentrations, and similarities on other scholarly research metrics. Once peers are identified, we will show how Research Insight can be used to find potential reviewers in these units based on review criteria.
March 25, 11:00am-11:30am EST
Product Enhancements you can expect to see in the first half of 202.
Utilizing Data to Better Examine Progress on Cluster Initiative Goals: A Case Study at University of Central Florida
Now Playback Only. This webinar will be recorded and sent out to all who request it.
Speaker: Dr. Debra Reinhart, Associate VP for Research and Scholarship, University of Central Florida
The University of Central Florida (UCF) created the Faculty Cluster Initiative (FCI) in 2015 with an initial investment of central funded salaries and startup. Each cluster involves a minimum of two colleges and ultimately FCI has engaged every UCF unit. Clusters solve critical issues facing society, including cybersecurity, disabilities, and violence against women, as examples. Metrics are important to UCF administrators trying to gauge the ROI for this investment. Academic Analytics has been essential to this evaluation process and has allowed us to measure collaborations and research outcomes relative to comparators across the US by creating pseudo clusters composed of researchers with equal rank and discipline to UCF clusters. We have also used Academic Analytics to identify best choices for hiring disciplines and rank. Another metric we have used compares research awards between FCI faculty and UCF faculty outside of clusters with equivalent rank and disciplines. We will share our evaluation process and conclusions to date.