In this project we are interested in how reputations affect international cooperation. In particular, we are interested in studying how the cost of cooperation changes for countries who fail to uphold their international commitments. We anticipate that this happens via two mechanisms. The first is direct: a change in beliefs about the state's reliability in the eyes of other countries. The second is indirect: a concern that failing to punish a state for non-cooperative behavior will invite more non-cooperative behavior in the future. States, we suspect, are thus concerned with developing a reputation for tolerating non-cooperative behavior. We use survey experiments on the US public and elites to study these questions.

The purpose of this research study is to investigate the relationship between sleep brain wave patterns and peripheral glucose (sugar) levels in individuals with and without type 2 diabetes mellitus (T2DM). Participants will undergo continuous glucose monitoring (CGM) using a CGM device for up to two weeks before an in-laboratory sleep study which is part of routine medical care at UNC to examine how sugar levels fluctuate during sleep and how these fluctuations relate to brain wave activity

Machine learning is a powerful tool for solving problems that involve a lot of data. It is being used in many different fields. The first step in creating a machine learning system is to understand what you want to achieve and then turn that goal into a plan for using machine learning. This is called problem formulation. Problem formulation is important because it not only helps you understand what you want to achieve but also helps you figure out if you have the right data to make it work. Practitioners need to try different approaches and see what works best for their data. This can take some trial and error. This study looks at a new tool designed to make problem formulation easier and see if it helps practitioners.

To optimize messages for a larger intervention.

The purpose of this study is to understand how people use their eyes while working on tasks using multiple computer screens. We want to learn how eye movements change when people do structured tasks given by the research team compared to when they do their own regular work. This information can help us improve future technology, like smart glasses, to make working with virtual screens easier and more comfortable.

To review the methods used in collecting mortality data in North Carolina during the COVID-19 pandemic, to understand why the ethnicity data had missing values and how that can be improved upon.

To study intellectual humility and its development across the lifespan.

To further understand the perspectives and health literacy of parents of children with chronic medical conditions before their child transitions from pediatric to adult care

We are surveying and interviewing people about their views on research that seeks to understand how a person's DNA may influence the things they do and achieve.

The purpose of this study is to see how political affiliations affect views and attitudes toward social and environmental sustainability. In addition, it aims to determine how different political affiliations respond to differently framed sustainable marketing messages. Individuals who take part in this research will be asked to view stimuli featuring a product and its sustainable impact. Then, they will be asked to record what they believe to be a fair price for each product.