An increasing number of researchers support reproducibility by including pointers to and
descriptions of datasets, software and methods in their publications. However, scientific …

High-level programming languages such as Python are increasingly used to provide
intuitive interfaces to libraries written in lower-level languages and for assembling …

Exploding data volumes and velocities, new computational methods and platforms, and
ubiquitous connectivity demand new approaches to computation in the sciences. These new …

The act of sharing scientific knowledge is rapidly evolving away from traditional articles and
presentations to the delivery of executable objects that integrate the data and computational …

Powerful detectors at modern experimental facilities routinely collect data at multiple GB/s.
Online analysis methods are needed to enable the collection of only interesting subsets of …

Edge computing has emerged as a transformative data processing method by decentralizing
computations and bringing them toward the data source, significantly reducing latency and …

Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social
Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how …

The genome of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
coronavirus has a cap** modification at the 5′-untranslated region (UTR) to prevent its …

The development of reusable artificial intelligence (AI) models for wider use and rigorous
validation by the community promises to unlock new opportunities in multi-messenger …

Research process automation–the reliable, efficient, and reproducible execution of linked
sets of actions on scientific instruments, computers, data stores, and other resources–has …