CICI: RSSD: CyberInfrastructure Robustness Understanding through Data eXtraction (CRUX) — NSF Award to San Diego State University
As Research and Engineering (R&E) networks have evolved to support an array of data-driven science, they have become highly converged and inter-dependent with the wider Internet. This convergence has resulted in remarkable efficiencies, data and resource sharing, and distributed collaborative research, but has also imp
| Award title | CICI: RSSD: CyberInfrastructure Robustness Understanding through Data eXtraction (CRUX) |
|---|---|
| Award ID | 2613546 |
| Awardee | San Diego State University Foundation |
| City | SAN DIEGO |
| State | CA |
| Amount obligated | $599,880 |
| Principal investigator | Robert Beverly |
| Program | Cybersecurity Innovation |
| Start date | 09/01/2026 |
| Abstract | As Research and Engineering (R&E) networks have evolved to support an array of data-driven science, they have become highly converged and inter-dependent with the wider Internet. This convergence has resulted in remarkable efficiencies, data and resource sharing, and distributed collaborative research, but has also imparted network complexity and dependencies. Because R&E networks carry critical science traffic, provide critical services, and enable production workflows, hidden dependencies can |
| Source | NSF Awards |
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