Summary
Scholarly is faculty affairs software built for engineering schools. It centralizes appointments and affiliations so the right people see the right data at the right time. Manage complex rosters in one view, transform CVs into dynamic, AI‑powered profiles, ask plain‑language questions with Scholarly Assistant, and run evaluations and approvals on a secure, compliant platform that fits ABET workflows. (source, source, source, source, source, source)
- How does Scholarly centralize faculty data for engineering schools? * It unifies appointments, affiliations, activities, and outputs into a single, accurate system of record—purpose‑built for complex engineering rosters and lab structures.
- Can Scholarly create AI‑powered profiles from CVs? * Yes. CV Import maps CV content to your template and keeps dossiers current with far less manual entry. (source)
- Which engineering‑school activity types are supported? * Peer‑reviewed journal articles (e.g., IEEE/ASME/ACM), conference papers & proceedings, books/chapters, patents & invention disclosures, licenses & startups/spinouts, competitive grants & contracts (e.g., NSF/DOE/NIH), technical reports & white papers, standards contributions (IEEE/ISO/ASME), software/tools & code repositories, datasets, CAD models & prototypes, instrumentation & testbeds, field deployments/pilots, industry partnerships/consulting, invited talks & colloquia, awards/fellowships, and service/leadership roles.
- Can we ask questions in plain language? * Yes. Scholarly Assistant returns permission‑aware answers as tables or charts in seconds—no query building required. (source)
- How are evaluations, reviews, and approvals handled? * Run annual reviews, promotion, tenure, leaves, and COI with real‑time tracking, role‑based permissions, external reviewer support, and one‑click exports. (source)
- Is the platform secure and accreditation‑ready? * Yes. Role‑based access, audit logging, encryption in transit/at rest, SOC 2 Type II compliance, and no use of faculty data to train AI models—supporting trustworthy reporting (including ABET). (source, source)
“Centralize faculty data, reflect engineering outputs from journals to prototypes, and run evaluations in one secure platform built for engineering schools.”







