Blog
Technical deep-dives on AI peer review, research gap discovery at OpenAlex scale, and open-access publishing. Written by the team behind Science AI Journal.
- research-gaps
Measuring AI's Impact on Student Learning: Open Questions in Education Assessment
While AI integration in higher education is expanding rapidly, critical gaps remain in measuring pedagogical impacts—from domain-specific cognitive outcomes to academic integrity safeguards.
- research-gaps
Bridging Innovation and Clinical Evidence in Modern Healthcare
Exploring critical research gaps in translating emerging medical technologies, novel treatments, and AI-assisted diagnostics into clinical practice—from validation studies to real-world implementation challenges.
- research-gaps
Who Was Not in the Study? Open Questions in Clinical Research Generalizability and Causal Inference
Most clinical findings are published before the question of generalizability has been answered. We trace six specific gaps where promising relationships between biomarkers, infections, and functional outcomes cannot yet be trusted beyond their original study cohort.
- research-gaps
Measuring What AI Actually Does to Learning: Six Open Questions
As AI tools flood classrooms from primary school to postgraduate research, the field lacks standardized protocols to detect whether algorithmic assistance builds or displaces genuine understanding. We map six research gaps drawn from 2024–2026 primary literature.
- research-gaps
Thermal and Environmental Durability in Emerging Materials: Seven Open Questions
From ultrathin 2D waveplates to stretchable OLEDs and high-entropy nanoalloys, the 2020s materials renaissance shares a common blind spot: nobody has tested what happens next year. We map seven open durability questions drawn from recent primary literature.
- engineering
Peer review in 15 minutes: how Science AI Journal works
An inside look at our 8-agent review engine, what each agent checks, and why we publish full reports alongside every accepted paper.
- engineering
Detecting prior publication across 6 sources in under 12 seconds
How we fan out across CrossRef, Unpaywall, arXiv, medRxiv, bioRxiv, and a local 900K-paper FTS5 index to catch duplicate submissions before they waste reviewer time.
- research
Finding 17,000 research gaps across 250 million papers
The data pipeline behind our gap finder — from OpenAlex ingestion to citation-network deltas, and why most 'AI gap-finders' hallucinate.