This project studies data management practices at user facilities with the goal of improving how research data is organized, stored, and shared.
This project designs and implements PegasusAI, an open, modular workflow management framework that integrates AI across the entire workflow lifecycle
The SAFARI project (Scientific Analytics, Forensics, and Reproducibility for Workflows in CI) advances scientific research by integrating forensic data analytics into the workflows used for large-scale data analyses. These analytics...
CITEAM brings together PIs with expertise in CI as well as in imaging-enabled materials science to develop an innovative cybertraining program targeting the materials science community that relies on advanced...
Kiso is an experiment management platform to enable the execution of experiments defined as Pegasus workflows on a variety of computing infrastructures.
X-CITE (CyberInfrastructure Training and Education for Synchrotron X-Ray Science) develops training materials for the community of scientists and researchers using the CHESS synchrotron X-ray facility and similar light sources.
The SWARM project explores how distributed intelligence, specifically, swarm intelligence (SI), can provide robust, performant, resilient, and fault-tolerant execution of DOE scientific workflows that span across a continuum of resources...
CI Compass provides expertise and active support to cyberinfrastructure practitioners at NSF Major Facilities in order to accelerate the data lifecycle and ensure the integrity and effectiveness of the cyberinfrastructure...
MATCH is the award for ACCESS Track 2 - support. The MATCH project develops new approaches, content, services, technologies, and expertise to make it easier for NSF CI users to...
The Partnership to Advance Throughput Computing (PATh) is a project funded by NSF’s OAC Campus Cyberinfrastructure (CC*) program in order to address the needs of the rapidly growing community of...
This project addresses the critical challenges using dataflows in scientific domains such as chemistry, materials sciences, molecular biology, and drug design by developing solutions to optimize dataflow pipelines across heterogeneous...
This project will provide an architecture and tools that will enable scientists to include edge computing devices in their computational workflows. This capability is critical for low latency and ultra-low...