AIRPO Conference 2026
AIRPO Conference 2026
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From Numbers to Narratives: Storytelling with Data in Higher Education
From Numbers to Narratives: Storytelling with Data in Higher Education
June 9-10, 2026
June 9-10, 2026
Saratoga Springs
2026 Conference Registration
2026 Conference Registration
Conference registration
Conference registration
Early Bird Registration Fee - $250, if registered by May 1, 2026
Registration Fee - $300 starting May 2, 2025
Registration fee includes 2026-2027 AIRPO membership fee, and all Conference meals and breaks.
2026-2027 AIRPO membership fee - $50 (Required to register for the Conference.)
2026-2027 AIRPO membership fee - $50 (Required to register for the Conference.)
Registration link- AIRPO 2026 Conference registration
Registration deadline is May 15, 2026
Registration deadline is May 15, 2026
Hotel registration
Hotel registration
Location: Holiday Inn - 232 Broadway, Saratoga Springs, NY
Phone: (518) 584-4550
Room rate: $126.00
Location: Holiday Inn - 232 Broadway, Saratoga Springs, NY
Phone: (518) 584-4550
Room rate: $126.00
Group Code: ARP
Cutoff date- May 15, 2026
Booking Link: Holiday Inn Booking Link - AIRPO or SCAN THE QR CODE:
For any questions on hotel reservations, please contact Julie Tierney at (518) 584-4550 ext. 287.
Conference Proposals
Conference Proposals
We invite you to submit proposals that reflect how you and your colleagues are telling stories with data.
Submissions are welcome in a variety of formats (e.g., single- and multi-person presentations, panel discussions, work/tech shares, interest groups). This year, we will also be having a designated poster session.
View a template of the submission form:
AIRPO 2026 Proposal Submission Form Template
Submit your proposal online at:
The deadline for proposals for 2026 conference is Friday, April 17, 2026.
Questions about conference proposals can be directed to Suzanne Riela Turturro at suzanne.riela@sunydutchess.edu.
Keynote Speaker
Keynote Speaker
Dr. Jed Marsh
Dr. Jed Marsh
Vice Provost for Institutional Research, Princeton University
Vice Provost for Institutional Research, Princeton University
Jed Marsh is the Vice Provost for Institutional Research at Princeton University, where he is responsible for the Institutional Research group within the Office of the Provost. The Institutional Research group supports the Provost and University leadership by developing and presenting studies based upon data from internal and external sources that provide a cohesive University perspective for use in university planning and policy discussions; deploying analytics and analyses to campus partners; enabling the assessment of programs and initiatives; coordinating participation in data exchanges and external reporting; curating reliable and robust data resources that are and accessibility to the campus community over time; promoting the appropriate use and interpretation of data and analyses through sponsorship of methodological seminars, the development of best practices documentation and staff professional development and cross-training.
Jed Marsh is the Vice Provost for Institutional Research at Princeton University, where he is responsible for the Institutional Research group within the Office of the Provost. The Institutional Research group supports the Provost and University leadership by developing and presenting studies based upon data from internal and external sources that provide a cohesive University perspective for use in university planning and policy discussions; deploying analytics and analyses to campus partners; enabling the assessment of programs and initiatives; coordinating participation in data exchanges and external reporting; curating reliable and robust data resources that are and accessibility to the campus community over time; promoting the appropriate use and interpretation of data and analyses through sponsorship of methodological seminars, the development of best practices documentation and staff professional development and cross-training.
June 8, 2026
June 8, 2026
The AI Advantage for Institutional Research
The AI Advantage for Institutional Research
Description:
This 90-minute pre-conference session focuses on practical, low-risk ways artificial intelligence can support Institutional Research work without using student-level data. The session emphasizes how AI can reduce time spent on repetitive tasks, improve clarity in reporting, and support IR professionals in communicating data more effectively. Examples are designed for IR offices of all sizes and do not require advanced technical skills or large datasets.
Key Learning Outcomes
1. AI for Everyday IR Tasks
Use AI to summarize long reports, emails, meeting notes, webinar recordings, and policy documents, helping IR staff process information more efficiently.
2. Working with Text and Qualitative Data (Safely)
Apply AI to organize and summarize non-identifiable text such as open-ended survey themes, strategic plans, accreditation language, and public reports.
3. Supporting Reporting and Communication
Explore how AI can assist with drafting narratives, executive summaries, methodology sections, and documentation while keeping humans responsible for final interpretation.
4. AI Without Student-Level Data or Advanced Analytics
Learn how AI can be useful even when student-level data cannot be used and when departments lack data science resources.
5. Ethics, Risk, and Governance in IR
Discuss appropriate boundaries for AI use, FERPA-aware practices, transparency, and why IR should lead institutional guardrails for AI adoption.
Takeaways for Participants
· A clear understanding of where AI fits and does not fit within IR work
· Practical examples of AI use that can be adopted immediately
· Guidance on safe, ethical, and responsible AI use in IR contexts
Location: Holiday Inn
Time: 2:30 - 4:00 pm
Contact Us:
Contact Us:
Questions? Contact Melinda Whitford at mmr6@buffalo.edu.
For registration questions, please contact Theresa Diemer at theresa.diemer@stonybrook.edu or Michaela Rehm at Michaela.Rehm@suny.edu.
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