This December, Duke University hosted the fourth Health Data Science Poster Showcase, a collaborative effort involving several key institutions: Duke AI Health, the Pratt School of Engineering, the Duke Center for Computational Thinking, the Duke Center for Computational and Digital Health Innovation, and Duke Health. The event served as a platform for Duke’s staff, students, trainees, and faculty to present their research, projects, and class work to a wider audience.
The Showcase featured over 60 posters on a diverse range of topics, including statistics, biomedical informatics, epidemiology, machine learning, implementation science, process engineering, and quality improvement. This variety not only highlighted the breadth of research being conducted at Duke but also emphasized the importance of interdisciplinary collaboration in health data science.
Participants had the opportunity to engage with attendees, share insights, and receive feedback on their work. The event aimed to foster an environment of learning and collaboration, enabling presenters to refine their presentation skills while also gaining exposure to innovative ideas from their peers.
The Showcase has become a semiannual tradition at Duke, reflecting the institution’s commitment to advancing health data science. By providing a venue for researchers to display their findings, the event encourages ongoing dialogue about the future of healthcare and the role of data-driven solutions in improving patient outcomes.
As the demand for expertise in health data science continues to grow, events like this are crucial in preparing the next generation of professionals. The Showcase not only highlights the innovative work being done at Duke but also contributes to the broader conversation about the integration of technology and healthcare.
In conclusion, the fourth Health Data Science Poster Showcase at Duke University in December 2025 marked a significant milestone in promoting research and collaboration across various disciplines within the health sector. The event underscored the importance of sharing knowledge and best practices in the ever-evolving field of health data science.
