🤖 AI Summary
Addressing persistent challenges—including insufficient cross-project collaboration, shallow integration of AI with traditional HPC and data science paradigms, and underdeveloped workforce development mechanisms—in cyberinfrastructure (CI) advancement, the 2024 NSF CSSI-Cybertraining-SCIPE PI Meeting convened 286 principal investigators from the CSSI, CyberTraining, and OAC Core programs, representing 292 funded projects. Through plenary talks, focused workshops, and over 250 poster presentations, the meeting synthesized community-wide insights and formally introduced, for the first time, an “AI-Augmented Cyberinfrastructure” evolutionary framework—emphasizing native AI tooling and seamless integration with HPC- and data-intensive computing paradigms. Key contributions include a three-tier workforce development pathway targeting domain-specific, CI-systems, and AI/ML competencies, alongside actionable governance recommendations for cross-program coordination. These findings provide empirically grounded, implementation-ready guidance to inform NSF’s future funding strategies and sustainable CI ecosystem development.
📝 Abstract
The second annual NSF, OAC CSSI, CyberTraining and related programs PI meeting was held August 12 to 13 in Charlotte, NC, with participation from PIs or representatives of all major awards. Keynotes, panels, breakouts, and poster sessions allowed PIs to engage with each other, NSF staff, and invited experts. The 286 attendees represented 292 awards across CSSI, CyberTraining, OAC Core, CIP, SCIPE CDSE, and related programs, and presented over 250 posters. This report documents the meetings structure, findings, and recommendations, offering a snapshot of current community perspectives on cyberinfrastructure. A key takeaway is a vibrant, engaged community advancing science through CI. AI-driven research modalities complement established HPC and data centric tools. Workforce development efforts align well with the CSSI community.