University Research Week returns with the theme Back to Basics. This year, we celebrate the power of foundational research and its real-world impact across many disciplines.

Join us as we highlight the importance of fundamental research as the bedrock of innovation, showcase how groundbreaking discoveries translate to real-world solutions, and offer workshops to equip students and researchers with best practices for diving into and excelling in research.

University Research Week is an annual, campus-wide event sponsored by the Office of the Vice Chancellor for Research and the Office of Undergraduate Research.

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This course will take place over two days (10/22/24 and 10/24/24) and will be offered via Zoom. Attendance is required as the course will not be recorded.

Complex survey sampling techniques (e.g., clustering, stratification, oversampling) allow for cost efficient estimation for large, dispersed populations. As such, they are frequently used in demographic, health, and public opinion survey research settings. In recent years, Bayesian statistical methods, due to their flexibility and intuitive interpretation relative to frequentist methods, have become increasingly popular for analyzing complex survey sample data; however, complex survey sampling introduces certain features (e.g., unequal selection probabilities, dependencies between observations) that violate traditional statistical assumptions and can bias survey estimates.

This course provides a practical introduction to the csSampling R package, which addresses these issues by implementing Bayesian estimation under complex survey sampling. The course will begin with an introduction to Bayesian statistical methods and complex survey sampling as well as the differences between Bayesian and frequentist methods to account for complex survey design. The bulk of the course will focus on a guided tutorial of the csSampling package with sample data and R code. Finally, the instructors will present use cases of how they have used the package in their own research.

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FemTech Collaborative Series: Networking Event

Join FastTraCS, our medtech incubator, at Top of the Hill Restaurant & Brewery in downtown Chapel Hill for an open networking session. This event is an opportunity to connect, engage, share, and build relationships in a relaxed and informal setting. Whether you're a researcher, student, healthcare professional, or simply interested in the future of women's health technology, you won't want to miss this chance to be part of a community dedicated to innovative solutions and collaboration.

The FemTech Collaborative Series at UNC-Chapel Hill, coordinated by FastTraCS, is focused on dismantling barriers and enhancing the commercialization of FemTech innovations. This series seeks to broaden community engagement and awareness for Women's Health innovation within UNC and UNC Health. Through a series of events, the program aims to amplify visibility; forge connections among researchers, entrepreneurs, and projects; and bolster the support structure for FemTech innovations. The series addresses critical issues such as fundraising strategies, need for best practices in FemTech development, and challenges of translating innovative ideas into viable commercial products. Each event is designed to engage attendees through panel discussions, Q&A sessions, and Demo Days, fostering a culture of innovation and sustainability in Women's Health.