Increasing young adults' participation in COVID-19 clinical trials is an essential component of ensuring successful development of life-saving treatments and therapies. Yet, there are several obstacles that hinder participation in trials, including structural barriers associated with lack of financial resources, access and transportation issues, mistrust in the medical and research communities, or concerns about medical experimentation. The project used novel approaches involving big data, machine learning, data science, and community-driven qualitative research to develop and evaluate a digital tool to encourage young adults' participation in the clinical trial process.