Codeathon Outcomes: 

This codeathon concluded on March 1st, 2024, click to see the event website. To see what teams accomplished, check out their GitHub repositories or a recording of the final presentations.

Codeathon Description: 

Machine Learning and Artificial Intelligence continued to play pivotal roles in scientific progress, so there was a growing need for collaboration, knowledge sharing, and an exploration of the transparent deployment of ML/AI in research. To address this growing need, we hosted a codeathon, “Building transparent ML/AI solutions to advance biological research”.

This codeathon was held virtually from February 26th to March 1st, 2024 (11 AM- 5 PM ET). The event aimed to bring together developers, data scientists, and tech enthusiasts to build equitable and transparent ML/AI solutions that tackled various problems in healthcare, research, education, and more.

We invited all developers and tech enthusiasts with a passion for social good to apply for this event. During the week-long codeathon, teams of 5-10 people collaborated virtually to design and build innovative solutions that promoted fairness, transparency, and accountability in AI/ML algorithms and models. Teams that wanted to leverage NCBI databases or publicly available scientific data for deep learning were encouraged to apply. Priority was given to projects that made use of NCBI data and tools.

Participants had the opportunity to network with fellow participants and learn from experts in industry, academia, and government. The codeathon was cooperative rather than competitive, and teams shared ideas and technical expertise. At the end of the event, teams presented their work to each other, representatives from the NIH, and the public.