Reducing bias in the evaluation of scientific posters and oral presentations

Abstract Scientific meetings provide critical opportunities for researchers and students to communicate research findings and engage with the broader scientific community. Oral and poster presentations are central to these meetings, with student presentations frequently submitted to competitive sessions. Despite their importance, standardized and transparent evaluation guidelines are often lacking, and the influence of unintentional human biases on assessment outcomes remains underexamined. This work discusses the evaluation of scientific posters and presentations, examines how biases can affect evaluations of scientific presentations, and outlines approaches to promote fair, merit‐based assessment practices, ensuring equitable opportunities for all presenters. Proposed strategies include the use of clear and consistent evaluation rubrics, structured evaluation panels, bias‐awareness training for reviewers, and technological innovations such as the use of artificial intelligence‐assisted tools. Despite the challenges of reducing unconscious bias, integrating bias‐reducing practices into the evaluation of scientific presentations fosters more objective, transparent, and equitable assessments.