ENABLE Scholar Program

The Bridge2AI Skills & Workforce Development (SWD) proudly presents the NIH-supported Bridge2AI ENABLE Scholar Program. Artificial Intelligence and Machine Learning (AI/ML) are demonstrating enormous potential to revolutionize health care and biomedical enterprises. To achieve an ethical and equitable society supported by modern AI/ML health care innovations, the future leaders driving these innovations must include representatives of all communities. In partnership with the NIH, the Bridge2AI ENABLE Scholar Program aims to foster AI/ML training for under-represented individuals in medicine (URiM).

URiM Health Professionals: We are seeking URiM medical professionals interested in gaining experience in concepts and applications surrounding AI/ML in biomedicine and modern clinical care. Eligible applicants are from any health-care related field (e.g., nursing, public health, physicians, etc.) across multiple career stages (e.g., students, junior/senior professionals). No prior computational or technical experience is necessary. It is essential that applicants demonstrate a passionate work ethic and strong enthusiasm for biomedical AI/ML research and applications.

ENABLE Program Curriculum: The ENABLE Program is a 10-week program consisting of 6-8 weeks of self-paced and highly tailored lecture learning pertaining to the ethics of AI/ML and AI/ML applications in contemporary medicine as well as guided step-by-step hands-on experience in a selected data science and AI/ML project with real-world datasets. Successful applicants are paired with a faculty mentor team, composed of expert clinicians, AI/ML specialists, and ethical AI leaders. A stipend of up to $10,000 will be provided to offset time loss in clinical services and alleviate financial burden for program participation. A total of 15 awards are available.

Interested applicants, please fill out the form (ENABLE Application Form) or send inquiries to SWD at swd-pm@bridge2ai-training.org. Please complete applications by the monthly enrolment deadlines below. Earliest start dates will begin approximately two-weeks following each application deadline.