What is Causal Inference, and Where is Data Science Going?

Forecasting and Interpolation for Learning Physical Simulation over Meshes

How Can One Use Machine Learning and High Performance Computing for Humanities Research?

Panel Discussion on Harnessing High-performance Computing across STEM Disciplines

TimeAutoDiff : Combining auto-encoder and diffusion model for time series tabular synthesizing

Directions to the Sandbox

Mitigating climate change drivers and associated risks of surpassing lower emission targets

2024 International Humanitarian Mapathon MariahTso Keynote

Using Topological Data Analysis to characterize fluctuations in brain activity patterns

Interacting Dynamical System Modeling for Science: Construction and Generalization

Introduction to Meta-analysis using Stata

Annotate Digital Imagery: Theory, Applied Practice, and Tools for Research

Computational approaches in clinical epigenomics

Introduction to Network Analysis Methodologies and Tools

Digital Humanities and HPC

Contextualizing Collections: Intro to Immersive Annotated 360 Virtual Tours with Adobe Captivate

Data-driven prediction of vortex dynamics with hierarchical graph neural networks

How to access SAS OnDemand?

Epidemic Model Guided Machine Learning for COVID-19 Forecasts

ECR OpenScience workshop March 24, 2022 - part 1

Comprehensive Lexical Resource for English Using Bayesian Deep Learning and Missing Data Methodology

Unsupervised Discovery of Ancestry Informative Markers and Genetic Admixture Proportions

Learning Scikit-Learn

High Performance Machine Learning Using Scikit-Learn

Intro to Julia: A fast dynamic language for statistical computing and data science