This project will focus on industry thought leaders on social media and their potential to create cultural change, especially with respect to diversity, equity, and inclusion (DEI). Thought leaders in the diversity and inclusion space on LinkedIn use their platform to address social issues related to DEI, but there is not a lot of research that has examined this aspect. To fill this gap, this study will propose interviewing thought leaders who regularly post about diversity topics on LinkedIn to gather information on their posts.

To test the effect of automated RBC exchange transfusion and standard of care compared with standard of care on the number of episodes of clinical worsening of sickle cell disease (SCD)requiring acute health care encounters (non-elective infusion center/ER/Hospital visits) or resulting in death over 12 months in high risk adult SCD patients.

Surveying internal medicine residents to identify factors associated with future career choice and barriers to residents choosing primary care as a career.

i. Patient sitters provide 1:1 supervision to patients at risk of injury to themselves or others. As there are no existing national policies that define sitter responsibility, this responsibility is left to hospitals. Current policies largely utilize sitters to provide patient safety; however, sitters often find themselves in situations which require far more than safety skills, leading to ambiguity in the role. Through my project, I will explore the experiences of current sitters and ultimately use this data to create a more comprehensive training module that reduces the ambiguity of the sitter role.

We are studying how myasthenia gravis (MG) affects women during important life stages like menstruation, pregnancy, and breastfeeding. MG is a rare, chronic condition causing muscle weakness. Many women with MG notice changes in symptoms during their periods or pregnancies. We want to understand these changes better to help doctors treat female MG patients more effectively. By collecting information through surveys, we aim to learn about symptom fluctuations related to hormonal changes and identify patterns. This study will provide valuable insights into the unique experiences of women with MG during these life stages, guiding future medical practices and improving care for individuals managing this condition.

The purpose of this study is to determine the true prevalence of vision impairment (VI) and factors contributing to VI and blindness in North Carolina through screening and qualitative interviews.

We are studying the frequency of flooding in coastal North Carolina and the impacts of floods on households and businesses.

The purpose of this study is to identify specific barriers to preventing a late stage cancer diagnosis within communities identified in North Carolina as having a higher rate of advanced cancer diagnoses.

(1) To translate a remote developmental assessment into Spanish with feedback from the Spanish-speaking community (2) To try out the assessment with Latinx infants who are showing risk signs of a developmental disability. After completing the assessment, we will interview families about their experiences. We hope that this information will help us improve remote assessments for Latinx families to better match their culture and language.

Predictive modeling has recently attracted a lot of attention from organizations trying to leverage AI and big data to improve their work processes such as decision-making. However, real-world problems are rarely well-formulated machine learning problems. Practitioners have to supply a well-defined predictive target to operationalize a predictive model. In such cases, they often resort to using observed variables to approximate the actual construct of interest. For example, people have used high sales numbers as a proxy for a good employee. Proxy label selection is a recurring challenge when predictive ML is applied to real-world problems. The purpose of this interview study is to understand how ML practitioners select proxy labels, evaluate proxy labels, and iterate through the different tasks involved.