We want to see how different approaches to group mentoring will impact postdoctoral fellows and assistant professors in both their personal and professional lives. This study will include 9 months of group meetings.
This study consists of two online surveys and one laboratory visit on the UNC campus. Plus, a subset of participants will be randomized to make small shifts in their daily behaviors for 35 consecutive days and all participants will complete brief nightly surveys during that 35-day phase. Some participants will also watch a short, 10 minute video.
At the UNC At the Center of Excellence for Eating Disorders, our mission is to better understand the causes and consequences of eating disorders in order to develop better treatment options. In pursuit of this mission, we conduct several research studies each year. To conduct these research studies, we need help from volunteers - individuals who want to help us better understand eating disorders. You can help by volunteering to join our research registry. Anyone can join our registry. We welcome volunteers with no history of an eating disorder, as well as volunteers with a current or past history of an eating disorder.
Are you or someone you know related to an adult or child with Type 1 Diabetes? If so, you may eligible to participate in TrialNet.
The participant registry will assist with study recruitment for current and future studies at the UNC-CH Adams School of Dentistry.
We are looking for patients with kidney disease and healthy controls (no kidney disease) to provide blood samples, fill out surveys, and provide health related information to help investigators learn more about how to better diagnose and treat kidney disease. The information you provide will go into a "library" of data for doctors and researchers across the world to use for research projects. If you are a kidney patient, we are able to use your information to find out if you are eligible for treatment studies/other studies in the future.
With generative artificial intelligence (genAI), there are many unknowns about the best ways to use it for teaching and learning. This study's purpose is to identify best practices for creating learning experiences using genAI.
Working with blue collar worksites to provide healthy affordable meals and nutrition education and behavioral "nudges"
In Aim 1, we will use existing research and expert review to develop new text and pictorial LCC warnings and test the new warnings using online experiments to identify warnings that adult LCC users perceive as most effective. The proposed study will fill critical gaps regarding which characteristics make LCC warning labels most effective and provide needed evidence on how LCC warnings influence LCC behavioral intentions. Our overarching goal is to develop effective LCC warnings that reduce cancer and other health risks.
The proposed project seeks to further our understanding of how teachers improve over time-and specifically how white teachers can become more effective teachers to students of color-by bridging three previously distinct literatures in education research: the returns to teaching experience, teacher peer effects, and the impacts of racial representation in the teaching force.