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Mike Urmeneta, Ed.D.

Navigating the New Frontier: Generative AI in Institutional Research

by Michael

What an amazing week at the Association for Institutional Research (AIR) Forum! I was privileged to present with the great and powerful, Dr. Jason Simon

Jason and I led a session on generative AI in Institutional Research. In our hands-on workshop, we explored key skills like prompt engineering and worked through practical IR use cases. But the real magic was in the community’s collective wisdom as we tackled bigger questions: How do we leverage AI to empower our teams? How do we navigate ethics and data privacy? How do we collaborate with key partners across campus?

As IR professionals, we must actively build our skills, pilot new approaches, and help shape the policies and practices that will guide its use. We have a vital role to play in ensuring these powerful tools are harnessed to better serve our students and institutions.

To everyone who joined us – thank you! And to the wider community – let’s keep this conversation going. Jason and I are excited to be on this journey with you. Reach out anytime as you explore AI at your own institutions. Together, we can lead the way.

#AI #IR #AIR #leadership #highereducation

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About

Dr. Mike Urmeneta is an award-winning researcher, educator, data scientist, and storyteller with a passion for helping institutions improve and succeed through agile and collaborative approaches to research and analysis. He has extensive experience working with universities and has been recognized for his work by leading organizations such as the Association for Institutional Research, the National Association of College and University Business Officers, and EDUCAUSE. His diverse background and ability to build strong relationships with a variety of stakeholders have allowed him to make a significant impact on institutional policies, procedures, and priorities. Most recently, as an instructor for AIR’s Data Literacy Institute, he has been preparing leadership teams to embrace a culture of data-informed decision-making. Prior to this role, he served as the director of analytics and business intelligence for the New York Institute of Technology, providing strategic guidance to various departments, the president’s office, and the board of trustees. Dr. Urmeneta has also held various administrative roles at New York University, including in admissions, financial aid, enrollment and retention, alumni relations, and development. He holds a Bachelor of Science in Mechanical Engineering and a Master of Science in Management from NYU, and a Doctor of Education degree from Northeastern University, where he received the Dean’s Medal for Outstanding Doctoral Work for his research on first-generation college students.

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