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.

There are 2 studies. In Study 1, we are interested in how employees respond to leader's behaviors. We will ask you to work with other participants in a team on a variety of tasks, also answering questions about your personality, perceptions, and behaviors. In Study 2, we are interested in how employees respond to leader's behaviors. We will ask you to recall and write about the most recent time you observed a specific interactions between a leader and coworker in your workgroup. You will then answer questions about your personality, perceptions, and behaviors, related to the situation you recalled.

Black men are diagnosed with prostate cancer more often than white men, and more commonly die from this disease. Care for advanced prostate cancer has improved a great deal over the past ten years, but these differences have continued. In order to improve equity in cancer care, we want to determine who is not getting the highest quality of care and whether race is associated with differences in care. Our study will ask Black and White men about their experiences with cancer care - if they trusted their doctors, how well their doctors communicated with them, and if they were satisfied with the care they received. We will ask about the challenges they experienced in receiving care, and what might have helped them get better care. We will use these results to design a better way to deliver care.

The goal of the study is to understand how the increased availability of telehealth related to the COVID-19 pandemic affected staffing for behavioral health services in critical access hospitals.

The study will investigate how selected religious student organizations provide spiritual and social/emotional supports to undergraduates as they navigate the academic and social challenges inherent in college.

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 aims to understand determinants and resource utilization of Mental Health Issues (MHIs) associated with student-athletes transition from sport to ultimately identify and quantify determinants of MHIs to inform evidence-based strategies and interventions to improve the MHIs of student-athletes during transition

The goal of this study is to evaluate medical student experiences and knowledge after participating in N-648 refugee clinics.

Our study will interview youth and their caregivers in order to assess their experiences and perceptions of mental health and accessing mental health services.

The proposed study will fill critical gaps regarding which characteristics make LCC warning labels most effective and provide needed evidence on how LCC warnings influence LCC behavioral intentions. Our overarching goal is to develop effective LCC warnings that reduce cancer and other health risks.