Abstract: The explosion of digital and observational data is having a profound effect on the nature of scientific inquiry, requiring new approaches to manipulating and analyzing large and complex data and increasing the need for collaborative solid research teams to address these challenges. These data, along with the availability of computational resources and recent advances in artificial intelligence, machine learning software tools, and methods, can enable unprecedented science and innovation. Unfortunately, these software tools and techniques are not uniformly accessible to all communities, mainly scientists and engineers at Minority Serving Institutions (MSI). Cloud computing resources are natural channels to enhance these institutions' research productivity. However, utilizing cloud computing resources for research effectively requires a significant investment in time and effort, awkward manipulation of data sets, and deployment of cloud-based applications workflows that support analysis and visualization tools.

Benjamin Garlington, “CISE: Community Engagement of CEB Cloud Ecosystem in Box” International Journal of Advanced Computer Science and Applications(IJACSA), 13(4), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130401

@article{Garlington2022,
title = {CISE: Community Engagement of CEB Cloud Ecosystem in Box},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130401},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130401},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {4},
author = {Benjamin Garlington}
}