We want to learn how people's brains adapt when responding to various food stimuli and decision-making processes. We also want to learn about brain responses to food and beverage consumption. To do this, we will use taste tests, surveys, behavioral tasks, and neuroimaging (fMRI scan).

We are conducting a research study to use graded exposure and mobile mindfulness meditation to address clinical outcomes in individuals 6-months to 10-years post-ACLR. This will help develop effective treatments to improve outcomes after ACLR. This study will last 5 weeks. Compensation provided.

Do you have a solid tumor? Would you like to have screening done to see if you are eligible for a treatment study? If so, you may be able to take part in a study that will look at your tumor sample to see if you are eligible for another investigational treatment study.

In this study, we want to learn more about the experiences and activities of high school-aged youth after a neurological event. This study will also help us to understand the perspectives of youth and a parent/caregiver through photos and stories.

Learn more about the learning experiences of undergraduate students when they take Asian Studies courses in order to improve the engagement of students in the future.

The purpose of this study is to learn more about factors that contribute to exercise-induced fatigue in women.

If you or your child had or currently have abnormal cell growth or a related condition, including brain and nervous system tumors, you may be able to take part in a research study. This is a study for patients who are receiving treatment at UNC hospitals. In this study, we will collect samples to better understand the causes of your disease.

Nowadays, AI systems have been applied widely in a variety of predictive tasks, from objective detection to text classification. These AI systems have greatly advanced automated decision-making. However, sometimes humans and AI systems think in very different ways, which means humans and AI systems might use different evidence to make predictions. In this study, we are using sentiment analysis of Amazon product reviews as a case study. Humans will judge sentiments of different words with different AI explanations. Human and AI judgments will be compared to find to which extend human and AI knowledge align.

This is a research study to learn about how mothers in recovery from addiction define, recognize, and foster emotions that connect their children to others such as gratitude, generosity, and love. People enrolled in the study will meet with a study team member in groups of 3-5 to complete an online survey and focus group interview asking for your opinions about these issues. The group meeting will take place at or near a treatment or recovery center and take about 90-minutes. Meetings can be in-person or virtual.

In this study, we want to learn more about how informational professionals interact with large language models such as ChatGPT, Bing AI, and Google Bard. We are interviewing and conducting diary studies with information professionals (e.g. finance, law, IT, business, academia, journalism, and consulting) who regularly use these systems in their work to understand the information practices they engage in while using these systems. Previous study participants have noted that the diary entries enabled them to reflect more deeply on their use of these tools and the interview has helped synthesized what they have documented. We hope you may find such benefits in your participation as well.