Keeping faculty profiles accurate and complete is one of the most time-consuming challenges in research information management. Valuable data is locked inside CVs and unstructured documents, difficult to capture consistently, and even harder to maintain at scale.
In this webinar, the Symplectic product team will walk through AI-Assisted Profile Curation, a new feature in Symplectic Elements that uses AI-powered workflows to extract and structure information from CVs and free text into high-quality research records, reducing manual effort significantly.
We will also be joined by representatives from the University of Oregon, who will share their hands-on experience piloting the feature, including how it has supported data collection across professional schools and improved faculty buy-in.
What you’ll learn:
AI-Assisted Profile Curation — an in-depth look
See how the feature extracts publications, grants, teaching, and professional activities from unstructured documents and maps them into structured Elements records, with full user review before anything is saved, including a walkthrough of the newly CV import capability – currently available in beta – with intelligent duplicate detection and a flexible review workflow.
Rollout, access control and AI Credits
Understand how administrators can manage feature access at group level for phased rollouts, and how AI Credits are consumed and managed for your institution.
University of Oregon: real-world experience
Hear how Oregon deployed AI-assisted entry across disciplines, what worked, what they learned, and the difference it made to data quality and faculty engagement.
Presented by:
- Ben Heartland, Product Manager, Symplectic Elements
- Katy Krieger, Director of Faculty Personnel and Policy, University of Oregon
- Jenny Talusan, Program Manager, University of Oregon
Moderated by:
- Alexandra Winzeler, Business Development Manager, Symplectic Elements
