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The needs of cyberinfrastructure (CI) Users are different from those of CI Contributors. Typically, much of the training in advanced CI addresses developer topics such as MPI, OpenMP, CUDA and application profiling, leaving a gap in training for these users. To remedy this situation, we developed a new program: COMPrehensive Learning for end-users to Effectively utilize CyberinfraStructure (COMPLECS). COMPLECS focuses exclusively on helping CI Users acquire the skills and knowledge they need to efficiently accomplish their compute- and data-intensive research, covering topics such as parallel computing concepts, data management, batch computing, cybersecurity, HPC hardware overview, and high throughput computing.
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This content will become publicly available on July 18, 2026
T3-CIDERS: Train-the-Trainer and Community Building to Increase Cyberinfrastructure Adoption in Cybersecurity Research and Education
T3-CIDERS is a train-the-trainer program to increase the adoption of advanced cyberinfrastructure (CI) and data skills into the fabric of research and education in cybersecurity and cyber-related disciplines. T3-CIDERS trains faculty, researchers, and students as “future trainers” (FTs) with hands-on technical and instructional skills to enable more people to effectively leverage CI in cybersecurity. The program includes a series of technical pre-training modules, a weeklong summer institute, ongoing learning engagements conducted over an academic year; it culminates with the FTs conducting locally tailored CI-infused training events at their respective home institutions. Ultimately, T3-CIDERS aims to build a “CI+cybersecurity” community of practice as the cohort continues to practice and teach CI skills in their teaching and research activities. This paper describes the vision and implementation of T3-CIDERS with the first cohort starting in year 2024. Based on the lessons learned through the in-person cohorts, a fully online program will be developed to expand the reach of T3-CIDERS to a broader audience. T3-CIDERS responds to the need to close the CI and data skill gap to meet the increasing challenges in securing the digital world.
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- Award ID(s):
- 2320998
- PAR ID:
- 10633584
- Publisher / Repository:
- ACM
- Date Published:
- ISBN:
- 9798400713989
- Page Range / eLocation ID:
- 1 to 9
- Format(s):
- Medium: X
- Location:
- Columbus Ohio USA
- Sponsoring Org:
- National Science Foundation
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