Data users (researchers, scientists) in healthcare institutions need access to integrated
healthcare data to conduct timely analysis of diseases to serve the right population at the …

Literate computing environments, such as the Jupyter (ie, Jupyter Notebooks, JupyterLab,
and JupyterHub), have been widely used in scientific studies; they allow users to …

Developing research computing workflows often demands significant understanding of
DevOps tooling and related software design patterns, requiring researchers to spend time …

The standard process for software development has changed dramatically in the past
decade. What was once a large effort of installing the same software across different …

Network analysis has been applied in diverse application domains. We consider an
application from protein dynamics, specifically residue interaction networks (RINs). While …

Constructing and executing reproducible workflows is fundamental to performing research in
a variety of scientific domains. Many of the current commercial and open source solutions for …

The success of machine learning (ML) algorithms, and deep learning in particular, is having
a transformative impact on a wide range of research disciplines, from astronomy, materials …

The Artificial Intelligence (AI) institute for Intelligent Cyberinfrastructure with Computational
Learning in the Environment (ICICLE) is funded by the NSF to build the next generation of …

In the last few years, the web-based interactive computational environment called Jupyter
notebook has been gaining more and more popularity as a platform for collaborative …

Abstract China's High Energy Photon Source (HEPS) is the first national high-energy
synchrotron radiation light source. The 14 beamlines for the phase I of HEPS will produces …