Human-AI connection in a digital future. Image generated with ChatGPT 5.2. With the magazine Time naming “The Architects of AI” as person of the year (1), what better moment to reflect on how AI is reshaping us as humans, and how this transformation echoes through the way we approach scientific work and understanding? Don’t worry: we are not here to deliver another impersonal or unrelatable AI monologue; rather we hope to build, collectively, an honest reflection on a topic

Special guest speaker Dmytro Orlov, Professor of Materials Science at Lund University, gave a captivating talk on inductive inference, a systematic method of scientific thinking that was presented in a 1964 paper.(1) This highly controversial concept (at the time and even today) posits that 3 steps—developing alternative hypotheses, devising experiments with alternative possible outcomes that exclude one or more of the hypotheses, and performing the experiments to generate a

Dr. Silvia Marchesi is a postdoctoral researcher, anesthesiologist, and intensive care practitioner at Skåne University Hospital, Malmö. The morning light filtered through the windows as Dr. Silvia Marchesi adjusted her schedule one more time. As a postdoctoral researcher, anesthesiologist, and intensive care practitioner at Skåne University Hospital, Malmö, she had strategically chosen this time for our videocall —early enough to minimize the risk of being called away to an

Building on last month’s meeting of the Lund Biomedicine ReproducibiliTea Journal Club on good research practices, Daniela Grassi, PhD presented “Ten simple rules for implementing open and reproducible research practices after attending a training course” by Heise et al. (1). Her discussion introduced some practical measures toward incorporating robust research practices.