Investigating Accurate & Equitable Representation in PubMed Search Results Codeathon
This codeathon concluded on May 26th, 2022. To see what teams accomplished, check out their GitHub repositories. Thank you to our codeathon contributors, listed here.
The National Library of Medicine (NLM) wants to ensure that results retrieved using the PubMed search “Best Match” ranking algorithm provide access to citations of all relevant literature. To this end, we are hosting a virtual codeathon, Investigating Accurate and Equitable Representation in PubMed Search Results, and invite you to apply!
This codeathon will bring together a diverse group of collaborators with expertise in natural language processing, search and retrieval, artificial intelligence, and data visualization. We encourage both coders and non-coding subject matter experts to apply. We will assign applicants to codeathon teams of 5-10 people based on their interests and skills. These teams will work together to uncover any inequities in PubMed “Best Match” search and suggest ways to mitigate them. The event will be cooperative rather than competitive, and teams will share ideas and technical advice.
After the event, we will make the team products publicly available through the NCBI Codeathons GitHub Organization. We encourage participants to share their work online and at conferences and will assist in manuscript publication.
If you are interested in participating, pitching an idea for a team project, and/or serving as a team leader, please apply or email us at firstname.lastname@example.org.