Astrophysical machine learning
Creating the future of nuclear energy
Data and sustainability science and practice
Getting to Paris Without Stopping in Washington: How citizens and communities can come together to achieve global climate goals
In-situ X-ray computed tomography for defect evolution
Cesium ML
Cesium-ML is an end-to-end machine learning platform for time-series, that computes machine learning features, builds models, and does prediction. Cesium has two main components—a Python library, and a web application platform that allows interactive exploration of machine learning pipelines. The Cesium library is specifically designed to handle irregularly sampled time series, as is common in astronomy.
Opportunities for Biological Discovery From Quantitative Analysis of Vast Data Sets Acquired with Advanced Microscope Technologies
Why determining the fate of the Universe forces you to learn any/every data science tool you can
GraphXD - Graphs Analysis Across Domains
BIDS GraphXD is a cross-domain initiative that promotes interdisciplinary collaboration and training for researchers, scientists, and theorists interested in using graphs and network analysis for applications in a variety of fields across STEAM including (but not limited to) anthropology, art, biology, computer science, economics, history, linguistics, mathematics, physics, and sociology.