Dr Elisabeth Bik in Auckland:
Lecture & Workshop on Research Integrity and Scientific Fraud
Monday, 3 November 2025
Open to: Research students (Master's, doctoral, postgrad), research support staff, and all researchers interested in safeguarding the scientific record.
Join one or both sessions!
PRESENTATION:
12:00 - 1:30 - Errors and Misconduct in Biomedical Research
Grafton Campus, Building 505, Auditorium 2 Room 007
Science builds upon science. But even after peer review and publication, science papers could still contain errors or even falsified data. When those problems go undetected, entire fields can be led astray.
Internationally acclaimed image forensics detective and winner of the 2021 John Maddox Prize, Dr Elisabeth Bik left her paid job in industry to search for and report biomedical articles that contain errors or data of concern. She has done a systematic scan of 20,000 papers in 40 journals and found that about 4% of these contained inappropriately duplicated images.
Join Dr Bik's fascinating presentation where she will present her work and show several types of inappropriately duplicated images and other examples of errors or research misconduct. In addition, she will show how to report scientific papers of concern and how journals and institutions handle such allegations.
Whether you’re a doctoral candidate, research support staff member, or experienced investigator, this session will sharpen your ability to spot red flags and protect the integrity of science.
WORKSHOP:
2:00 -4:00 - Detecting Fraud in Biomedical Papers
Grafton Campus, Building 501, Seminar room 110
This interactive workshop explores the many ways scientific integrity can be compromised, and how to detect it.
Participants will gain insights into common forms of misconduct, including:
Plagiarism – textual copying and hidden reuse
Table & plot problems – fabricated or selectively presented data
Photo manipulation – duplicated, spliced, or enhanced images
AI-generated content – the new frontier of research fraud
Participants will also discuss best practices for raising and handling allegations while protecting fairness and integrity. If there is a particular area of interest - such as image manipulation, plagiarism, or AI-generated content- participants are welcome to suggest a focus for deeper discussion.
