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.

This study relies on the knowledge of recreational shark fishers and SCUBA divers in North Carolina to further understand coastal shark ecology and to learn about fishing effort and diver observation effort. This research will help further our understanding on the abundance and distribution of data-limited coastal sharks. In addition, we believe this will help increase our understanding of the North Carolina recreational shark fishery.

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.

We are comparing the quality of feedback given to second year internal medicine residents by their peers vs. their supervisors, as well as feedback provided using a feedback vs. without the feedback tool.

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.

The purpose of this study is to examine whether attitudes toward biracial people shift over the course of the 2024 U.S. Presidential Election.

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