Intro to Digital Accessibility in Research
What is digital accessibility? How can the research enterprise be more prepared to be inclusive of people with disabilities. What should an IRB be evaluating in terms of digital accessibility? ...
Find out more »Data Visualization with Python I: Plotting Fundamentals
Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data in the pursuit of understanding and conveying underlying patterns. The ...
Find out more »Hoffman2 Happy Hour: Using RStudio on Hoffman2
Join us for an engaging session in the Hoffman2 Happy Hour Series as we explore how to effectively use RStudio on Hoffman2. This hands-on workshop will demonstrate the use of ...
Find out more »Data Visualization with Python II: Making Interactive Plots and Dashboards
Python is a very popular language for computational and data science, and it has many powerful capabilities for visualizing data in the pursuit of understanding and conveying underlying patterns. The ...
Find out more »Using Containers on HPC Resources
Containers are revolutionizing the way scientific software is run on High-Performance Computing (HPC) platforms by providing a ‘virtual’ OS that simplifies application installation and portability. This session will guide you ...
Find out more »RAG for Open Source LLMs
Learn how to reduce hallucinations and improve the quality of LLM responses using retrieval augmented generation.
Find out more »Building Containers for HPC
Building on the concepts introduced in Using Containers on HPC Resources, this session will focus on creating custom containers designed to run seamlessly on HPC platforms. Participants will learn how ...
Find out more »Introduction to Databases pt.1
Databases are central tools for organizing research. In addition to storing data, databases allow for data to be quantified in meaningful ways. The process of creating a database can also ...
Find out more »Planning for Accessibility in Research Proposals and Practices
In this training you will lean learn about the following topics: • Introduction to DCP and Services for Researchers • Training and Resources for Accessible Research • Accessible Research Tools ...
Find out more »Introduction to Graph Databases
Graph databases are at the frontier of data science, humanities, and AI computing. Built to handle dense, highly interconnected data, graph databases underpin many social networks, big data applications, and ...
Find out more »Introduction to Survival Analysis in R
Survival analysis models time-to-event outcomes. This workshop introduces usage of the survival package in R for some of the most commonly used survival methods. Topics include data setup, Kaplan-Meier estimates ...
Find out more »Big Data on HPC
Unlock the potential of High-Performance Computing (HPC) for solving Big Data challenges in this introductory workshop. Designed for researchers and data enthusiasts, this session will focus on using Big Data ...
Find out more »High Performance Python for Data Analytics pt.1
While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, ...
Find out more »Introduction to Mediation Models using Mplus,
This workshop will introduce mediation (i.e., causal) models using Mplus. Explanations of the syntax and output will be given, as well as some tips about reporting such analyses. Models with ...
Find out more »High Performance Python for Data Analytics pt.2
While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series, ...
Find out more »Introduction to Cloud Computing
This workshop provides an overview of cloud computing concepts, including its benefits, services, and deployment models. Participants will learn about the different types of cloud services and explore popular cloud ...
Find out more »Introduction to Linear Regression in R
This workshop teaches the basics of the linear regression model, the foundation for most other regression models. Topics include understanding the model equation, continuous and categorical predictors, interpreting the model ...
Find out more »Accessible Study Recruitment & Consent Process
Planning for an accessible study recruitment effort. Advertising in accessible digital environments, making PDFs accessible, email outreach that is accessible and mobile app ads that are accessible. Creating a accessible ...
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 »Rapid AI Prototyping with custom GPTs pt. 1
Learn how to rapidly build a low cost AI prototype for research and education with custom GPTs, prompt engineering, and turn-key solutions from leading LLM providers.
Find out more »Parallel Transpose Algorithms: Massively Parallel Computing with GPUs Series
Several highly accurate computational methods, such as spectral and compact finite difference techniques, require complete grid data along spatial axes when solving partial differential equations on structured grids. However, modern ...
Find out more »Rapid AI Prototyping with custom GPTs pt. 2
Learn how to rapidly build a low cost AI prototype for research and education with custom GPTs, prompt engineering, and turn-key solutions from leading LLM providers. This will be a ...
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