NSF National Center
Bridging research communities through shared data, workflows,
and AI.
NSF BRIDGE gives research labs and communities the software to deploy their own platform for scalable, on-demand computing, so their users can share datasets, analysis pipelines as workflows, and machine learning models.
An NSF-funded collaboration of UC Irvine, UCLA, and the University of Michigan
How it works
From your data to shared discovery, in three steps
01
Deploy
Stand up your own web-based platform, on your own infrastructure or the cloud, with no heavy setup.
02
Share
Publish datasets, analysis pipelines as workflows, and machine learning models for your community to reuse.
03
Flexible
Run it in the cloud or on your own local computers — whichever best fits your community’s resources and scale.
Who it is for
Made for the people who move research forward
Research labs
Give your group a shared, reproducible workspace for data, code, and results.
Scientific communities
Connect groups that rarely share tools, so data and knowledge flow across boundaries.
Domain scientists
Do modern data science and AI with little or no code, even without local computing.
Research
Transdisciplinary research domains
From quantum computing and semiconductors to advanced materials and biotechnology, NSF BRIDGE brings shared tools to communities that rarely share them.
Physical SciencesQuantum Computing
Shared workflows for quantum algorithm design, simulation, and analysis of experimental data.
More coming soon
EngineeringSemiconductors
Data pipelines for device modeling, fabrication analytics, and materials characterization.
More coming soon
Materials ScienceAdvanced Materials
Collaborative discovery, simulation, and analysis workflows for next-generation materials.
More coming soon
Life SciencesBiotechnology
Single-cell, genomic, and biomedical analysis pipelines that connect labs and their data.
More coming soonBuilt on open source
Powered by Apache Texera (Incubating)
The Center provides not just software, but also services such as training, documentation, support, and scalable, on-demand computing, so any community can run their own platform.
