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AI is reshaping educational content. Explore how structured content, smart workflows, and human oversight help build AI-ready capabilities.
Read Integra’s latest blog: integranxt.com/blog/from-con…
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Peer review capacity isn’t just about having more reviewers. Relevance, availability, independence, and reliability determine usable capacity. See how the reviewer funnel narrows—and where workflows can lose capacity:
integranxt.com/blog/peer-rev…
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What would a scalable peer review ecosystem look like?
It’s not just about more reviewers or faster turnaround—it’s about better matching, smarter workflows, and infrastructure that helps expert judgment scale.
integranxt.com/ebooks/the-pe…
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New on The Scholarly Kitchen: “Rethinking Scholarly Evaluation: Matching Rigor to Purpose.” Ashutosh Ghildiyal, Mathïs Fédérico & Maria Machado explore better ways to evaluate diverse scholarly contributions.
Read: scholarlykitchen.sspnet.org/…
@AshutoshConsult
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Can AI solve the reviewer-capacity problem? Partly. AI can reduce coordination and screening work, but expert judgment remains essential. The goal: remove friction, not replace expertise.
Read more: integranxt.com/ebooks/the-pe…
Made with AI
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Is a fast reviewer necessarily a good reviewer? Speed is easy to measure, but quality is harder. The real signal is what a review catches—not just how quickly it arrives.
integranxt.com/ebooks/the-pe…
#PeerReview #PeerReviewWeek2026
Made with AI
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What actually slows peer review down? Often, it’s not reviewers—it’s the friction around them: matching, invitations, reminders, and re-matching. Better workflows can reduce delays without compromising rigor.
#PeerReview #PeerReviewWeek2026
integranxt.com/ebooks/the-pe…
Made with AI
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31% more submissions, no additional headcount. See how a leading scholarly publisher used EditorialPilot to scale manuscript screening, improve efficiency by 30–35%, and keep editorial judgement at the centre.
integranxt.com/case-studies/…
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What’s shaping the future of scholarly and education publishing?
Follow Upstream by Integra for conversations on AI, research integrity, trust, and more.
Spotify: open.spotify.com/show/5aj7O3…
YouTube: piped.video/@Upstream-by-int…
Apple Podcasts: podcasts.apple.com/us/podcas…
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AI can handle mechanical tasks. Editorial judgment requires meaning, intent, and consequence.
The key: form your own read before consulting the AI summary.
A practical map for the journal workflow 👉 integranxt.com/blog/where-ai…
#ScholarlyPublishing #AIGovernance
Made with AI
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One month to the Frankfurt Book Fair 2026. We will be talking workflows at the fair, human-led and AI-enabled, from intake to publishing, for both books and journals.
Meet Team Integra at Hall 4.1, Stand H64.
#FBF26 #FrankfurtBookFair2026
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The U.S. Department of Education’s guidance offers a useful test: technology should improve learning, supported by evidence and educator judgment.
For publishers and EdTech leaders, every AI feature needs a clear learning purpose.
Read more: integranxt.com/blog/where-ed…
Made with AI
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Stay connected with what’s shaping the future of content, technology, and publishing.
The Integra Brief, our official LinkedIn newsletter, brings together industry insights and conversations.
Subscribe and stay informed: linkedin.com/newsletters/the…
Made with AI
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AI is reshaping knowledge. But what happens to trust, judgment, and integrity?
Upstream by Integra explores the forces shaping scholarly and education publishing—and what comes next.
🎙️ Follow on Spotify, YouTube & Apple Podcasts.
#UpstreamByIntegra #AI #ScholarlyPublishing
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AI isn’t replacing editorial judgment. EditorialPilot handles checks, not decisions on novelty, impact, or conflicting reviews. Those remain human calls.
Read the full conversation: integranxt.com/blog/beyond-t…
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AI can explain, practice and give feedback instantly. But the real test is whether learners build capability—or outsource the work. Assessment must evidence learning, reasoning and process.
integranxt.com/blog/where-ed…
Made with AI
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Fraudulent submissions rarely arrive alone.
Our latest blog explores how pattern and network-level investigation can reveal paper-mill connections across submissions—with AI surfacing signals and experts interpreting them.
Read more: integranxt.com/blog/beyond-t…
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AI was built for fluency. Science was built for truth. Confidence ≠ correctness.
We explored this gap with Dominique De Roo and why AI can’t replace the systems that make knowledge trustworthy.
@AshutoshConsult
Listen: integranxt.com/podcasts/epis…
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AI governance shouldn’t start with tools and guardrails. It should start with purpose: what AI can support, and what must remain human. For scholarly publishing, protecting judgment matters as much as improving efficiency.
@AshutoshConsult #AIGovernance #ScholarlyPublishing
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Before the Guardrails: Why AI Governance in Research Must Start with Purpose: scholarlykitchen.sspnet.org/…
Reading Between the Lines, Part 1: A Cognitive Framework for AI in Scholarly Publishing: scholarlykitchen.sspnet.org/…
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Reading Between the Lines, Part 2: Cognitive Debt and the Adaptive Publisher: scholarlykitchen.sspnet.org/…
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