NIAID-BRCs AI Codeathon 2.0
Accelerating FAIR data and tools for infectious disease research.
The NIAID Bioinformatics Resource Centers (BRCs) invite researchers, data scientists, developers, bioinformaticians, and students to a three-day in-person codeathon focused on advancing infectious disease research through AI, large language models, and agentic frameworks.
Building on the success of the previous codeathon, participants will collaborate in small teams to develop prototype tools and workflows that improve the Findability, Accessibility, Interoperability, and Reusability of BRC data, resources, and analysis tools.
Three centers.
One codeathon.
- 01
Bacterial and Viral Bioinformatics Resource Center
bv-brc.org →Integrated access to curated pathogen data and analysis tools.
- 02
Comprehensive analysis tools and workflows
brc-analytics.org →A unified analytics layer for data exploration across BRC resources.
- 03
Interoperability across infectious disease resources
pathogendatanetwork.org →Coordinated access and shared standards across infectious disease data.
Two directions.
One common goal.
- 01RAG · LLM
Automated knowledge extraction & curation from literature
AI-driven systems that automatically extract, structure, and integrate biological and epidemiological knowledge from the scientific literature using Retrieval-Augmented Generation and large language models — linked back to BRC schemas with provenance.
- 02MCP · Agentic AI
Bioinformatics workflow automation
Agent-based systems that translate research questions into executable bioinformatics workflows by leveraging Model Context Protocol (MCP)-enabled tools and services — adaptive, multi-step, and reproducible.
What we hope to accomplish.
- Apply AI and LLMs to enable scalable knowledge extraction from scientific literature
- Develop intelligent systems for automated workflow design & execution
- Enhance interoperability and reuse of BRC data, tools, and services
- Foster collaboration across infectious disease, AI, and bioinformatics communities
- Deliver openly available prototypes that seed long-term community solutions
Bring your expertise and perspective.
- Infectious disease researchers and domain experts
- Data scientists and AI/ML researchers
- Bioinformaticians and computational biologists
- Software developers and research engineers
- Students, postdocs, and trainees
Three days at Argonne.
Free to attend.
Participation is free, but space is limited. Travel and lodging support may be available for a limited number of participants. Additional details on project themes and logistics will be announced soon.
Notifications shortly after. Confirmed teams begin bi-weekly preparatory calls.