Institute for Digital Research and Education
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 an RStudio Server app within the Hoffman2 environment, leveraging Apptainer for seamless integration and execution. Whether you’re new to Hoffman2 or looking to expand your...
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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 second part of this series will explore various ways that Python can be used to make interactive graphics that enhance one’s ability to explore data...
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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 through the process of building and utilizing containers to enhance your research workflows on HPC systems. The workshop will focus on UCLA’s Hoffman2 cluster, which...
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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 to build containers using Docker/Podman and Apptainer/Singularity, with practical examples on UCLA’s Hoffman2 cluster. Whether you want to create portable, reproducible environments for your research...
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Speaker: Hesam Soleimani, Ph.D. IDRE Postdoctoral Fellow Civil Engineering University of California Los Angeles Place: Virtual (Register for Zoom link) Abstract: Urban infrastructure encompasses diverse systems, from residential buildings to critical facilities like power and transportation. Structural Health Monitoring (SHM) provides a framework to ensure the safety and continuity of these infrastructure systems by distinguishing...
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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 help clarify relationships within content. Relational databases are designed to reduce redundancy, increase efficiency, and decrease errors. This introductory workshop on databases offers participants a...
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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 • What is Disability? (ADA Definition) • Overview of Laws & Policies Around Accessible Research • Best Practices in Planning for Accessible Research • Accessibility...
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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 new research initiatives, but are still not as widely understood or deployed as traditional relational databases. Building off the Introduction to Databases (Part 1) workshop,...
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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 and curves, log-rank tests, fitting the Cox proportional hazards model, assessing the proportional hazards assumption, and modeling time-varying covariates. Experience in both survival analysis and...
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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 techniques to address large-scale data processing and complex machine learning model training on UCLA’s Hoffman2 cluster. Through hands-on examples and demonstrations, participants will explore the...
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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, we'll tackle how to enhance Python's performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective...
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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 latent variables will not be discussed.
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, we'll tackle how to enhance Python's performance in data science by diving deep into its workings and leveraging technologies to transform Python into an effective...
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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 platforms such as AWS and Google Cloud. The workshop covers key topics such as cloud architecture, storage, security, and scalability, offering practical insights into how...
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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 estimates, and diagnostics for assessing model assumptions. The workshop is intended to be interactive, with examples and exercises in R, and assumes only introductory exposure...
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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 digital consent pathway, making research accessible to all. Strategic Outcomes: - Inclusivity in community engaged research
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 then discusses logistic regression for binary outcomes and Poisson and negative binomial models for count outcomes. Examples of running each of these models in R...
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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 simulations often involve enormous datasets, especially when using high-resolution grids, that exceed the memory capacity of a single processor. This poses a significant challenge: how...
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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 hands on workshop.