Introduction to directed acyclic graphs (DAGs) for causal inference in R
Directed Acyclic Graphs (DAGs) have emerged as an important tool in causal modeling to understand the relationships among variables. DAGs can inform what variables should be included or excluded in ...
Find out more »Using the National Research Platform (NRP) for AI-enabled Research & Education
Are your computing problems too big for your laptop? Do you want to work on research using computing and data beyond your institution? Come learn about how you can run ...
Find out more »Batch Job Submission with Slurm & Optimizing and Managing Your Workflows on the Hoffman2 Cluster
Batch computing is how you turn a single analysis into hundreds or thousands, scaling your research well beyond what you could run by hand. This workshop covers writing and submitting ...
Find out more »Introduction to Video, Audio, and Youtube Accessibility
In this session participants will learn about video and audio accessibility best practices. By the end of this training you should be able to: -Create an WCAG 2.1 AA caption ...
Find out more »A Satellite Analysis Reveals Why Structures Burn While Neighbors Survive Disaster
In this workshop you will learn how to develop image processing workflows in AWS using generative AI services.
Find out more »Generalized Linear Regression Models in R
This workshop introduces the generalized linear regression model, which extends the linear regression model to accommodate outcomes with different distributions. The workshop briefly reviews linear regression concepts as necessary, and ...
Find out more »From One to Many: compute and data beyond your local context
Are your computing problems too big for your laptop? Do you want to work on research using computing and data beyond your institution? Come learn about how you can run ...
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