Tuesday, October 24
Didactic Session 12:30–1:30pm EDT
Workgroup Session 1:45–3:45pm EDT
AI and ML Tools that can be Used to Ensure Research Integrity
There are a number of tools that use artificial intelligence (AI) and machine learning (ML) that can help publishers screen for research integrity issues. This session will examine three areas that are of major concern to scholarly publishers: submissions from paper mills, detection of manipulated and duplicate images, and the proliferation of retracted science. This session will examine each of these areas through the lens of three different organizations that have developed AI/ML tools used to combat fraud and ensure research integrity. The presenters will provide a general overview of the integrity challenges they are combatting, they will discuss industry initiatives that they have been involved with, and they will discuss the details of how their tools are being used today by publishers and others.

This session is sponsored by Turnitin
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Adam Day, Founder and CEO, Clear Skies

London, UK

Adam is the Founder and CEO of Clear Skies Ltd. Clear Skies offers several unique methods to detect papermill products before peer review, thereby preventing the publication of fraudulent literature.

Adam has extensive editorial and data science experience in the publishing industry. He co-wrote the open-source Sage Rejected Article Tracker and recently published a novel method to detect peer-review fraud.

He runs a popular blog and also serves on STM Solutions' simultaneous submissions working group.


Josh Nicholson, PhD, Co-founder and CEO, Scite

Brooklyn, NY, USA

Josh Nicholson is co-founder and CEO of scite.ai, a next-generation citation index that puts citations into context and provides scholarly references to ChatGPT.  He holds a PhD in cell biology from Virginia Tech, where his research focused on the effects of aneuploidy on chromosome segregation in cancer. He was previously founder and CEO of The Winnower, and CEO of Authorea, two companies aimed at helping researchers better write and publish their work.


Patrick Starke, Founder, ImageTwin AI GmbH

Vienna, Austria

Patrick Starke is the founder of imagetwin, a software company that focuses on the automated detection of image integrity issues in academic papers. After his Master's in Economics at the Vienna University of Economics and Business, he worked for several years in the field of deep tech startups until he founded the science startup imagetwin together with his partner Markus Zlabinger in 2021.

Patrick's mission is to support publishers, universities, and scientists worldwide in their challenge to set new integrity standards and fight research misconduct.


Moderator: Tony Alves, SVP, Product Management, HighWire Press

Hopedale, MA, USA

Tony Alves has worked in STM publishing since 1990 focusing on digital publishing, online learning products, and workflow management. Tony is SVP of Product Management at HighWire Press leading a team of product managers and overseeing a suite of platform products addressing the scholarly publishing infrastructure. Tony is involved in promoting industry standardization, system-to-system communications protocols and other industry shared services. Tony serves as co-chair of the Manuscript Exchange Common Approach NISO Standing Committee, which defines data and communication protocols for manuscript transfers. He also leads a working group for the International Association of STM Publishers addressing simultaneous and duplicate submissions. Tony has organized and presented sessions on industry standards, such as ORCID, CRediT, Funder ID, organizational IDs, JATS and BITS, as well as on interesting editorial services, such as similarity detection, artwork preflight, reference checking and linking, artificial intelligence for manuscript quality assurance, social media, and ethics.