Endocrine Abstracts

In the pursuit of scientific knowledge, maintaining research integrity is not merely a moral imperative but also a selfish endeavour. The first part of this talk will highlight that research integrity is about much more than isolated cases of research misconduct. Many researchers unintentionally engage in so-called questionable research practices without realising the potential harm they can cause to the scientific community, the broader society, and their own careers. The prevalence of such practices, including p-hacking, HARKing (Hypothesising After the Results are Known), data cherry-picking, and selective reporting, will be discussed in the context of wider research culture. The second part of the talk will focus on practical solutions that support high levels of research integrity while also benefitting researchers on the ground by increasing the efficiency and visibility of their research. The third and final part of the talk will highlight the many challenges and opportunities emerging from the rise of generative artificial intelligence (AI), with tools like ChatGPT now commonly used by students and researchers alike. Best-practices for the use of such tools in academic research will be discussed, with reference to key policies and nationwide discussions that everyone ought to be aware of.