The field of scientific research is undergoing significant changes, with a growing emphasis on integrity and transparency in publication practices. Recent developments have highlighted the need for structural reforms in scientific evaluation and governance to combat fraudulent practices, such as predatory journals and hacked journals, which threaten the credibility of research communication. Meanwhile, the increasing use of artificial intelligence in research is transforming the scientific workflow, with AI systems being used to generate hypotheses, conduct experiments, and write papers. This shift has the potential to fundamentally reshape the pace and scale of discovery, but also raises concerns about the reliability and interpretability of AI-generated research. Noteworthy papers in this area include the survey of AI scientists, which provides a comprehensive synthesis of the field's evolution and outlines a roadmap for overcoming remaining challenges. The study on the AI Mathematician as a partner in advancing mathematical discovery also demonstrates the potential of human-AI collaboration in advancing the frontier of mathematical discovery.