Imagetwin Named Finalist for the ALPSP Award for Innovation in Publishing 2026
We’re proud to announce that Imagetwin is a finalist for the ALPSP Award for Innovation in Publishing 2026, recognized alongside Alchemist Review Journal Fit, Thoth Open Metadata, Duplicate Review Checker, and FigureTwo. The award, run by the Association of Learned and Professional Society Publishers (ALPSP), celebrates new developments that add real value to scholarly communication.
About the ALPSP Conference 2026
The ALPSP Annual Conference and Awards looks beyond scholarly publishing for inspiration this year, opening with a keynote from science communicator Suze Kundu and running through plenaries on cross-industry innovation, research funding pressures, and community engagement. Three key topics will be discussed this year:
AI and Editorial Workflows
AI is reshaping how manuscripts get screened before publication, and the conference’s parallel session on Lean Editorial digs into exactly that, including new perspectives on where AI fits in editorial workflows. It’s the same shift driving demand for automated image integrity screening: editors are expected to catch more, faster, with smaller teams.
Research Integrity
The dedicated Research Integrity track brings toxgether voices from STM, United2Act, librarians, funders, and researchers to address the pressures facing the scholarly record today. Image manipulation and duplication remain among the most common, and most detectable, forms of misconduct, which is why this track sits closest to Imagetwin’s own work.
Beyond Publishing and Global Priorities
Other sessions look outward: cross-industry innovation, publishing and the SDGs, diversifying global author pipelines, M&A in scholarly publishing, and open access/preprints. Together they frame a conference less about defending the status quo and more about how the community adapts.
Our Award Finalist Session
As a finalist, Imagetwin has a slot in the Awards Finalists Lightning Presentations, Wednesday 9 September, 16:15–17:15, chaired by David Sommer. We’ll have 7 minutes to talk image integrity: why it matters, where the biggest gaps still are, and how AI-assisted screening is changing what’s possible to catch before publication.
Our technology helps publishers, institutions, and researchers detect image duplication, plagiarism, manipulation, and AI-generated figures, the exact kind of innovation this award was built to recognize.
Sign Up & Let’s Meet in Manchester
The ALPSP Annual Conference and Awards 2026 runs 9-11 September at The Manchester Deansgate Hotel, UK. Winners are announced at the conference dinner on Thursday 10 September. For registration and the full programme, visit the official ALPSP conference page. Imagetwin Co-Founder and CEO Patrick Starke will be on-site for the full conference. If you’re attending and want to talk about image integrity workflows, screening at scale, or anything else, get in touch to set up time to meet in Manchester.
About Imagetwin
Imagetwin is an AI-powered image integrity software built to preserve trust in academic research. The tool detects integrity issues in research publishing, including image duplication, manipulation, plagiarism, and AI-generated content. Imagetwin’s database includes over 160 million academic images. It is a fast, reliable, and secure image integrity software for every submission.
If you’d like to learn how Imagetwin supports research integrity or explore potential collaboration, reach out to our team.
Frequently asked questions
Why does image integrity matter in research?
Image duplication and manipulation are among the most common and most detectable forms of research misconduct. Undetected, they can lead to retractions, damage institutional credibility, and undermine trust in the published scientific record.
How does Imagetwin compare to other image integrity tools?
The main differences are pricing model (per paper vs per sub-image), database breadth (160M+ figures vs PubMed only), speed (seconds vs minutes), and AI detection scope. Imagetwin also offers generator attribution and a free private repository on all plans.
