Abstract Funds are requested to support Advancing Eye Health through Data Science and Artificial Intelligence Symposium to be held September 27, 2024, in the Starr Center for Scientific Communications at the Schepens Eye Research Institute of Mass. Eye and Ear (MEE). The meeting is co-organized by Dr. Lucia Sobrin, Professor of Ophthalmology and Associate Chief for Clinical Data Science, Harvard Department of Ophthalmology and Dr. Tobias Elze, Associate Professor of Ophthalmology and co-director of the MEE Clinical Data Science Institute. This will be an inaugural meeting. Data Science and Artificial Intelligence (AI) studies in vision research are growing exponentially and have great promise for generating discoveries that can be translated to clinical care. As AI increasingly enters the clinical realm, it will be important that its integration to care is done in an ethical and robust way. Therefore, the proposed symposium is a timely and important meeting. The goal of this symposium is to bring together international experts who offer novel data and stimulate discussion about how to leverage AI and Big Data to improve eye health. In addition, given the importance of Data Science and AI will continue to increase over time, another goal of the symposium is to engage trainees and young investigators in the field so that they are able to carry on the work in the future. We estimate this meeting will attract close to 250 attendees, consisting of senior and junior scientists, graduate trainees, postdoctoral fellows, and biotechnology/pharmaceutical representatives. Topics to be covered include the application of AI and Big Data for diabetic retinopathy detection, glaucoma progression and identification of systemic disease with ophthalmic data. Funds are requested to support the trainee attendance and provide 10 trainees with travel awards to cover their airfare and accommodations. This meeting is distinct from other meetings focused on AI/Data Science in its in-person format, with half of the scheduled time for discussion and multiple opportunities for unstructured interaction between trainees, younger investigators and more established investigators at the morning networking break, lunchtime poster session, and evening reception/dinner.