Nisha Nair

It’s Okay to Not Be Okay: Rethinking Mental Health Support in Academia

“Mental health problems don’t define who you are. They are something you experience. You walk in the rain and you feel the rain, but, importantly, you are not the rain.” —Matt Haig, author of Reasons to Stay Alive Ask any academic and they won’t be surprised that mental health struggles in the industry aren’t just […]

SLIDE DECK : Between Promise and Practice: What AI Still Can’t Do

Artificial intelligence has rapidly become an integral part of academic research, offering powerful capabilities for literature synthesis, data analysis, and ideation. For doctoral students, these tools present both unprecedented opportunities and significant risks. While AI can accelerate certain aspects of research and writing, its misuse can undermine the very foundations of rigorous academic inquiry. The challenge lies not in avoiding AI entirely, but in understanding its limitations and applying it judiciously. Here, we go through critical pitfalls that can derail research work when AI is used inappropriately.

INFOGRAPHIC : Future-Proofing Your Career in the AI Era: Essential Skills for Peer Reviewers

AI is transforming peer review in research publishing. Boosting efficiency yet demonstrating a need for collaboration with human expertise. Learn more in the Peer Review Week Handbook by Editage Insights.

INFOGRAPHIC : How to AI the Right Way: A Quick Overview for Authors and Researchers

Learn how to use AI responsibly in research and academic writing. This quick guide for authors covers AI in literature search, editing, translation, data analysis, and image generation—plus tips on disclosure, data protection, originality, and ethical best practices.