Data Science Day: Data Science Across North Carolina
Join the School of Data Science & Society for their third annual Data Science Day. This year’s theme is Data Science Across North Carolina and will feature N.C. Department of Information Technology’s deputy secretary for artificial intelligence and policy, I-Sah Hsieh, as the keynote speaker. They look forward to gathering the North Carolina research community together to showcase data science research and collaborations across the state!
Registration is free but seats at the Carolina Club are limited. For more information and the day's agenda, visit datascience.unc.edu.
This course will cover topics beyond the scope of the Introduction to Qualtrics short course. Take a deeper dive into “Survey Flow” features, including routing with branches, embedded data, customizing the “End of Survey” experience, and randomization. Explore embedded data, and several ways to import or set data in your survey through contact list fields, anonymous URLs, and conditions within your survey. Additional topics will include piping, authentication, managing results, re-coding values, exporting and importing data, and creating reports.
This is a hands-on course. Completion of Introduction to Qualtrics or understanding basic Qualtrics principles prior to this course is required. All participants are required to create a Qualtrics account before the course.
Orientation to Databricks
Databricks is a popular cloud platform for performing advanced data science and analytics work. It is also the flagship application that will be available for advanced data science needs in SHIRE, which is the new, secure environment many researchers will soon be required to use to work with data from the Carolina Data Warehouse for Health. In this seminar, JP Powers, PhD, will provide an orientation to Databricks for new and future users.
Speaker:
JP Powers, PhD
Research Data Scientist
TraCS Data Science Lab
Seminars in the NC TraCS Data Science Lab Seminar Series cover a range of topics related to health care data science, clinical data, data engineering, and working in these areas at UNC-Chapel Hill. These hybrid seminars are usually held monthly on the third Tuesday of each month from 12:30-1:30 p.m. in the NC TraCS suite on the 2nd floor of Brinkhous-Bullitt or via Zoom. Please note: This month's seminar will be held on the fourth Tuesday from 1:30-2:30 p.m.
This course will take place over two days (9/24/2025 and 9/26/2025) and will be offered via Zoom. Attendance is required as the course will not be recorded.
Nesting can arise from hierarchical data structures (e.g., siblings nested within family; patients nested within therapist), longitudinal data structures (repeated measures nested within individual), or both (repeated measures nested within patient and patient nested within therapist). It is well known that the analysis of nested data structures using traditional general linear models (e.g., ANOVA or regression) is flawed, oftentimes substantially so: Tests of significance are likely biased and within- and between-group effects are confounded with one another. All of these limitations can be addressed within the multilevel model. In this workshop, we provide an introduction to the application of multilevel models with nested data, including software implementation in SAS, SPSS and Stata.
Join North Carolina Agricultural and Technical State University— a vibrant community of educators, researchers, and innovators— on September 25-26, 2025, at Koury Convention Center in Greensboro for a conference exploring how Artificial Intelligence is reshaping teaching, learning and research across disciplines.
Little Voices, Big Choices: Best Practices in Pediatric Research Consent and Child Assent, and Other Considerations
Join the UNC Network for Research Professionals (NRP) for a hybrid education session on clinical research with children. Kids aren’t just small adults—learn how to do consent and assent the right way. Working with kids in research brings unique challenges—and responsibilities. Learn practical tips for IRB submissions, talking with parents, engaging children in the assent process, and handling the extra considerations that come with pediatric studies.
Postdoctoral fellows who have secured a faculty position and junior faculty interested in applying for the NC TraCS K12 mentored career development program are invited to learn more about the program at an upcoming information session. This round of applications is for positions that would begin July 1, 2026.
The same information will be presented at each information session (September 15 from 10-11 a.m. OR September 25 from 2-3 p.m.) followed by time for questions and discussion. All sessions are in-person ONLY & held in Brinkhous-Bullitt room 219.
Potential applicants are strongly encouraged to attend one session to ask questions about the program overall as well as program eligibility. If you cannot attend an information session, please contact Kate Matthews at This email address is being protected from spambots. You need JavaScript enabled to view it. with your questions.
Key Dates:
Letter of Intent deadline: November 19 by 5 p.m.
Application deadline: December 19 by 5 p.m.
Join North Carolina Agricultural and Technical State University— a vibrant community of educators, researchers, and innovators— on September 25-26, 2025, at Koury Convention Center in Greensboro for a conference exploring how Artificial Intelligence is reshaping teaching, learning and research across disciplines.
This course will take place over two days (9/24/2025 and 9/26/2025) and will be offered via Zoom. Attendance is required as the course will not be recorded.
Nesting can arise from hierarchical data structures (e.g., siblings nested within family; patients nested within therapist), longitudinal data structures (repeated measures nested within individual), or both (repeated measures nested within patient and patient nested within therapist). It is well known that the analysis of nested data structures using traditional general linear models (e.g., ANOVA or regression) is flawed, oftentimes substantially so: Tests of significance are likely biased and within- and between-group effects are confounded with one another. All of these limitations can be addressed within the multilevel model. In this workshop, we provide an introduction to the application of multilevel models with nested data, including software implementation in SAS, SPSS and Stata.
This online training will provide an introduction to qualitative data analysis, focusing on content/thematic analysis. The session will cover the basics of qualitative data analysis and steps in the analysis process, including transcribing, memoing, codebook development and coding, exploring content areas or themes, and interpreting and communicating findings. Participants will have the opportunity to practice developing and applying codes. Please note: We will not be demonstrating how to use qualitative data analysis software during this session.
This event may be recorded. Materials such as slides or handouts will be shared with documented attendees only.
Presenters:
MaryBeth Grewe, MPH and Simone Frank, MPH
NC TraCS Qualitative Research Service