Expertise Finder inspects faculty contributions and maps them to areas of expertise so you can discover experts and connect collaborators across your institution. It surfaces researchers by topic, method, or keyword (e.g., “Marine Microbiology”), visualizes connections across departments and schools, and supports human review with transparent mapping. All results respect institutional data and permissions, aligning with Scholarly’s expertise tagging and security practices. (source, source, source)

• What is Expertise Finder? * An AI‑assisted tool that analyzes faculty contributions (publications, grants, courses, service) and maps them to clear areas of expertise to help you discover experts and collaboration opportunities across your institution.
• How does it work? * 1) Inspects faculty contributions and maps them to expertise.
  * 2) Surfaces researchers by topic, method, or keyword using plain‑language discovery.
  * 3) Visualizes connections across departments and schools.
  * 4) Supports human review to adjust tags and profiles with transparent mapping.
  * 5) Works within your institution’s data and permissions, respecting privacy and security. (source)
• What does it surface and visualize? * Topic‑ and method‑based expert lists, keyword matches (e.g., “Marine Microbiology”), and network views of cross‑department connections—revealing potential collaborators and clusters of related work.
• Why does this matter? * Accelerate collaboration, spotlight faculty strengths for planning and partnerships, and reduce manual curation while maintaining quality—building a living, searchable network that reflects current contributions.
• Is it secure and under my control? * Yes. Each match shows supporting evidence (e.g., publications or grants) so you can validate, refine, and approve before sharing or outreach. Access is role‑based and auditable; data is encrypted in transit and at rest; Scholarly is SOC 2 Type II–compliant; and faculty data is not used to train AI models or retained by AI vendors. (source)