Retractions have become a critical issue in the research community, raising questions about integrity and accountability and eroding public trust in scholarly research. In this two-part series, we will explore why retractions occur, the impact they have on scholarly communication, and strategies to address them.
Artificial Intelligence is rapidly transforming every stage of the research cycle, from discovery to dissemination. This series will explore the evolving role of AI in shaping research workflows, addressing both the opportunities and challenges it presents. Join experts across various fields as they delve into how AI is enhancing research processes, improving efficiency, and raising new questions about ethics, transparency, and the future of knowledge creation. Join us as we continue our AI & the Research Cycle series with Phase III.
