Generate a tailored SOP for Dr. Iris Beerepoot. Improve your application with a focused, well-structured draft.
Iris Beerepoot is an Assistant Professor at Utrecht University, specializing in Software Process Science. Her research focuses on how individuals interact with digital technologies, employing a combination of information systems, process mining, and computer-supported cooperative work (CSCW). She studies the everyday work that generates digital traces and emphasizes the responsible analysis of these traces to enhance transparency, collaboration, and care practices within organizations. Her work spans both public and private sectors, including healthcare, where she examines how data from real work behaviors can be utilized while being mindful of data limitations and the importance of context. Beerepoot's research addresses pressing societal and organizational challenges such as governmental transparency and effective remote collaboration among teams. She is engaged in discussions about the responsible adoption of AI tools in sensitive domains like nursing, working with various stakeholders including government bodies and international research teams to tackle these issues. Beyond academia, she actively engages with media on topics related to transparency in the public sector, digital collaboration, and the responsible use of workplace data through AI and process mining, particularly in healthcare documentation workflows.
Department of Psychology