Reportedly almost three-quarters of the general public trust in science – but this high level of trust could potentially be undermined by issues relating to research misconduct such as plagiarism, falsification, and fabrication. This is particularly urgent as the use of generative AI becomes more widespread, and as scientific careers continue to hinge on volume and profile of publications.

In addition to providing broader public access to (and engagement with) research, open science practices such as open data, transparent peer review, and the adoption of preprinting have been heralded as ways to increase the level of transparency around research. This transparency can help demonstrate the self-correcting nature of science.

This webinar’s expert panel will discuss many of the biggest issues in research integrity, and how open science practices can help address these problems through initiatives undertaken by researchers, institutions, research funders, and publishers.