peer review
|
This workshop provides a comprehensive look at peer review, teaching participants how to assess papers, write reports, and navigate ethical considerations.
Why good papers get rejected: AI, ethics, and what editors expect
What the event covered
Using AI in your research or writing? You’re not alone, but how AI is used (or not disclosed) is now a common reason papers are rejected early.
This webinar cuts through the confusion with a perspective on how journals assess AI use and ethical compliance before peer review. It also breaks down what authors can do to stay on the right side of expectations.
What you’ll learn:
How editors evaluate AI use during initial manuscript checks
What counts as acceptable vs risky AI use in publishing
Common AI disclosure mistakes that trigger desk rejection
How AI intersects with authorship, originality, and ethics
A practical pre-submission checklist to reduce rejection risk
Submit smarter, avoid avoidable rejection, and publish with confidence in an AI-aware publishing landscape.
Designed for researchers, early-career academics, and experienced authors alike, this session focuses on clarity, confidence, and prevention. Helping you submit with fewer surprises and stronger chances of success.
About the speaker
Katie Peace is VP, Academic Partnerships Asia, at Taylor & Francis. Katie has more than 20 years’ experience in the publishing industry globally. Through her experience she has insights into the academic journals and books publishing processes and specialises in advising and guiding authors to produce the best publishing output. She is happy to share her knowledge with early career researchers and experienced academics in Asia Pacific looking to publish their work for an international market.
Information about this event
Date
Location
Online
Tags
publishing your research
The speaker
Katie Peace
VP, Academic Partnerships Asia at Taylor & Francis
Upcoming events
peer review
data sharing
|
This session focuses on preparing datasets for sharing, best practices for repositories, and writing Data Availability Statements. Participants will learn ethical and legal aspects of data sharing and strategies for handling sensitive data.
open research
|
This course explores open research models, their adoption by stakeholders, and their impact on publishing workflows. Participants will learn ethical considerations and practices for engaging in open science and speculate on future publishing trends.