A decision-support framework that moves research analytics from static reporting toward judgment, readiness, and action — using AI as the analytical engine.
Presented as "Beyond Reporting: How AI-Enabled Research Analytics Reveals Gaps, Risk, and Accountability in Research Administration" at the Research Analytics Summit (REACH) 2026, Newport, RI.
Author: Ayomide Ajibola, MBA — Morgan State University
- ▶ Live interactive demo: https://ayomide1400.github.io/gra-framework/
- 🎙 Recorded session & citable record (Cassyni): https://cassyni.com/events/KxSZkjNLHZsAgyk6UJm6qT
Most research analytics systems were built for compliance and record-keeping — they tell you what happened, not whether you're ready. The GRA framework reorients analytics around three questions:
| Pillar | The question it answers |
|---|---|
| Gap | What data is missing or unverified? (system disagreements, incomplete records, untested assumptions) |
| Risk | Where are we exposed without knowing it? (declining pipelines, slow expenditure, awards nearing end of performance) |
| Accountability | Can we explain and defend our analytics? (who owns what, who gets alerted, whether decisions are evidence-based) |
AI-enabled analytics is the engine that powers each pillar — surfacing gaps, flagging risk, and strengthening accountability in real time, while keeping every decision human-led.
The live demo is a working mock GRA Analytics dashboard — an award portfolio monitor with a GAP detector, risk flags, a period-of-performance monitor, PI and cross-office views, and a live analysis engine where thresholds trigger GRA rules. It shows how the framework works in practice using accessible tools (Airtable, Power BI), not a data-science team. All data is illustrative.
The framework is tool-agnostic and designed to start at any capacity level — from a Starter tier (Excel + structured reporting) through Intermediate (Airtable / Power BI + AI assist) to Advanced (integrated ERP + AI analytics layer).
| File | Description |
|---|---|
index.html |
Interactive GRA Analytics dashboard demo (runs in-browser) |
Beyond_Reporting_GRA_REACH_2026.pdf |
Full presentation slide deck (13 slides) |
Ajibola, A. (2026). Beyond Reporting: How AI-Enabled Research Analytics Reveals Gaps, Risk, and Accountability in Research Administration. Research Analytics Summit (REACH) 2026, Newport, RI. https://cassyni.com/events/KxSZkjNLHZsAgyk6UJm6qT