Institute for Digital Research and Education
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?...
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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...
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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...
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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...
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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...
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Learn how to reduce hallucinations and improve the quality of LLM responses using retrieval augmented generation.
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...
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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...
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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...
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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...
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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...
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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...
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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,...
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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...
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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,...
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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...
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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...
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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...
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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...
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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.
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...
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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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