University Research Week returns Oct 20-24, 2025, with the theme “UNC Research is North Carolina.” This year, UNC will highlight all the ways our research benefits our state.

Help us showcase how UNC-Chapel Hill’s research fuels North Carolina’s economy, supports businesses, meets community needs, trains the workforce, and cares for our citizens. Join us for a week packed with inspiring talks, interactive events, and opportunities to engage with Carolina’s thriving research community.

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

For a calendar of events, visit researchweek.unc.edu.

Utilizing LLMs for Medical Analysis: a SHIRE Databricks Demonstration

In this seminar, Josh Fuchs, PhD, will provide a technical introduction to using Large Language Models (LLMs) in Databricks, with a focus on SHIRE, the new secure environment for working with CDW-H data. Fuchs will discuss cost considerations as well as provide an in-depth look at how to programmatically run, track, and evaluate LLMs in a reproducible and efficient way.

Speaker:
Josh Fuchs, PhD
Research Data Scientist
TraCS Data Science Lab

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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.

Designing Web Surveys

This course will introduce methods for effectively designing web surveys to mitigate common mistakes that impact data quality and introduce measurement error. The course will focus on the following elements of web survey design – overall formatting and visual layout of screens, selecting and designing questions and response options (e.g., radio buttons, check boxes, grids, and open text fields), error and validation messaging, navigation elements, and usability. Special considerations for designing web surveys to accommodate mobile response will also be covered. This course will also offer practical guidance on selecting appropriate web survey platforms. However, this course will not provide instruction on the technical aspects of web survey programming or introduce programming languages. The course will draw from empirical literature on best practices coupled with practical considerations when designing and implementing web surveys.

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