Page 49 - Straive eBook: Redefining Your Peer Review Experience

Straive | Redefining Your Peer Review Experience 49

Al-powered TDS

Straive built the TDS with the aim to enable a
• Straive built a custom journal seamless, scalable, and efficient transfer process.
recommendation model It features an Al-based journal recommendation
based on Al that uses the engine, customizable modules that allow for a set of
content in the chapter to journals to participate in the program with defined
determine potential transfer roles (i.e., as feeder, receiver, or both). The TDS is
journals. independent of Peer Review System as the workflow
• A simple UI with options for is driven by customized emails from the system.
the author to choose from a
pool of potential journals.
The TDS allows customization of email templates
and language (based on country); and provides
analytics that can help determine email messaging,
reminder frequencies, etc.

An automated system for transfer of rejected journals to other suitable journals

• Emails are directly received • The word fingerprint of • Author is sent an email by • Customizable system.
by the system from the article is generated and the system informing the Admin change email
mailbox of the Peer Review compared with the journal option to transfer to templates, reminders,
System word fingerprints to find potential journals dates, etc
• Metadata is extracted from suitable journals • Author makes the choice • Reporting on article status
the body of the email to • Journals which find a of journals through a link in and % transfer rate
create record for the journal match are identified as the email • Analytics around success
in the DB potential transfer journals • Confirmation email to author rates per journal
• Article PDF is extracted for and to the transfer desk
the NLP module team to enable the transfer

Impact for Client

The MVP for the project was launched in 12 weeks and a pilot cohort of 70 journals was
identified. It was later scaled to 700 journals, with a 25% transfer accept rate as an outcome.
That translates to about a 6% increase in published article flow.