This hands-on experience will engage participants in analyzing open-source scientific and healthcare data to address real-world problems. Participants will learn how to apply the FAIR principles (Findable, Accessible, Interoperable, and Reusable) to ensure their research outputs contribute to transparent, reproducible science. We're prioritizing BIPOC students from HBCUs, HSIs, TCUs, and MSIs in our first recruitment wave, followed by working professionals from BIPOC backgrounds interested in mentorship and applying their skills for social good.