Effect size measures for linear multilevel models in R
In 2019, Rights and Sterba introduced a set of effect size measures for linear multilevel models in the article Quantifying Explained Variance in Multilevel Models: An Integrative Framework for Defining ...
Find out more »Effect size measures for linear multilevel models in R
In 2019, Rights and Sterba introduced a set of effect size measures for linear multilevel models in the article Quantifying Explained Variance in Multilevel Models: An Integrative Framework for Defining ...
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W5b: RNA-Seq II Analysis
RNA-seq II aims to provide tools for analysis of gene expression data from read counts to biology using R. To facilitate learning, the workshop will use a real case study ...
Find out more »W33: Accessing Clinical Databases
The UCLA ATLAS Precision Health Biobank integrates genetic information and de-identified medical records to enable precision health research. This introductory workshop will cover the basics of extracting health-related phenotypes from ...
Find out more »HPC@UCLA: Batch Job Submission on H2C (the Hoffman2 Cluster)
Batch computing enables you to execute concurrently or independently a large number of simulations, practically scaling up your ability to conduct research. Come and learn the basics of how to ...
Find out more »Overcoming Common Issues on Hoffman2 Cluster
In this workshop, we will explore several frequent challenges encountered when using the Hoffman2 cluster. Attendees will gain practical knowledge on how to address these issues independently, enhancing their efficiency ...
Find out more »Collecting Research Data on the Go
Mobile App Research allows for flexible collection of data. Being “in the field” can now happen anytime and anywhere. This is true across a broad spectrum of disciplines today including ...
Find out more »Panel Discussion on Applications of AI in Research Computing
Venue: Virtual (register here for the Zoom link) The IDRE Early Career Researchers (ECR) group is pleased to host a panel discussion on applications of AI technology in research computing. ...
Find out more »HPC Workshop: Message Passing Interface (MPI)
UCLA-IDRE, along with ACCESS and Pittsburgh Supercomputing Center, is pleased to announce a workshop on the Introduction to Message Passing Interface (MPI). This workshop will give C and Fortran programmers a ...
Find out more »IRB Basics
This presentation will provide an overview of the types of submissions requiring IRB review via the UCLA IRBs' electronic submission system, BruinIRB. Guidance for data management, storage and sharing will ...
Find out more »Using GitHub for Continuous Integration/Continuous Deployment
Do you write and version code in Github? In this workshop you will learn how to use Github Actions to automatically and securely deploy your source code across your infrastructure. ...
Find out more »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 »Empowering Precision Medicine with Data: The All of Us Research Program
The All of Us Research Program, led by the NIH, seeks to advance precision medicine by enrolling one million diverse participants, with a focus on underrepresented communities and innovative use ...
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 »Using A.I. Tools Effectively and Ethically for Academic Research
UCLA undergraduate students and other UCLA students, faculty, and staff are invited to register for this hands-on workshop exploring the ethical and practical uses of A.I. text generation tools, led ...
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 »EHR Research Data Provisioning
A complete walkthrough of the UCLA EHR Data Provisioning Workflow Cycle. Descriptive talk of the full implementation of the Regulatory Requirements, the Technical Specifications, and the integration of Multiple Data ...
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 »NIH Data Sharing Policies – Tips for Participant Protections and Data Security
Policy and how they harmonize with one another. This talk will delve into participant protections describing frameworks to consider when working with participant data, especially from American Indian or Alaskan ...
Find out more »Accessing and Activating Audiovisual Materials for Your Research
Through this workshop attendees will learn how to search, access, and activate audiovisual materials to help with their research. This includes step-by-step processes of searching through UCLA's expansive Special Collections ...
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