We are using specialized functional MRI for people receiving deep brain stimulation surgery to help predict who will benefit most from this procedure.

The purpose of this study is to explore how moral distress impacted CCNs who actively engaged in practice during the pandemic and today. A quantitative survey design will be used to gather CCNs perceptions of moral distress using the Moral Distress Scale-Revised (MDS-R., Epstein et al, 2021); additional open-ended questions at the end of the survey will be used to gauge nurses' coping strategies and supports available to deal with moral distress. The open-ended questions will be derived from the literature, integrate the PIs observations, and used to complement findings from the MDS-R. The focus of this study will be solely on critical care nurses that worked through the COVID-19 pandemic due to the high-stress nature of that unit

The purpose of this study is to research the effect of different animal images in swaying viewers' intent to take action for the benefit of the pictured animal species. We intend to show participants pictures of animals in different environments with different emotional states and nature pictures and use survey questions to determine if the pictures affect viewers' intentions to help organizations that help the animal species pictured. We are hoping that this research will help those working on behalf of animal conservation in selecting pictures for charity work.

Volunteers will dive in the Duke hyperbaric chamber and ultrasound devices will be used to monitor them for bubbles and anatomical imaging before, during and after the dive.

This study is interview-focused and intends to understand what influences families and how kinship is created through different cultures.

The primary aim is to test whether abatacept, as compared to placebo, is associated with a reduction in major adverse cardiac events (MACE) among participants hospitalized with myocarditis secondary to an immune checkpoint inhibitor (ICI).

We are conducting a study to understand how diverse pregnant people make decisions about prenatal diagnosis when fetal anomalies are present. We will be conducting semi-structured interviews of individuals that have been in the above clinical situation to better understand how personal, community, and systems-level factors impact their decision making. We will also be studying the longitudinal impact of receiving genetic information during pregnancy, particularly among those that have undergone exome or genome sequencing for prenatal diagnosis.

Examine the transition-related experiences and post-sport outcomes of former NFL players.

To assess the research knowledge and awareness of employees at an academic medical institution.

The purpose of this study is to understand the impact of Zillow and their machine-learning algorithm Zestimate on the real estate market. We will interview real estate agents, home buyers, and home sellers to explore their experiences with this AI system. This case study comprises an intriguing example of not only the transformative power of algorithms in society but also how AI systems may transform the role of real estate agents as knowledge experts, and how effective partnerships between different stakeholders and AI can be achieved or hampered. The proposed research project aims to dive deep into this socio-technical phenomenon, focusing on the concept of human-AI collaboration and trustworthy AI, and how this new technology is disrupting societal and economic practices in a systemic fashion.