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X-WR-CALNAME:Institute for Digital Research and Education
X-ORIGINAL-URL:https://idre.ucla.edu
X-WR-CALDESC:Events for Institute for Digital Research and Education
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TZID:America/Los_Angeles
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250430T123000
DTEND;TZID=America/Los_Angeles:20250430T133000
DTSTAMP:20260404T020929
CREATED:20250312T175736Z
LAST-MODIFIED:20250312T175736Z
UID:25750-1746016200-1746019800@idre.ucla.edu
SUMMARY:Running Large Language Models on Hoffman2
DESCRIPTION:This workshop will cover running Large Language Models (LLMs) on the Hoffman2 HPC cluster using Ollama for inference and Open WebUI for an easy-to-use interface. Participants will learn how to set up and manage LLM workloads on HPC resources\, optimize performance\, and interact with models through a web-based UI. The session includes a live demo\, hands-on training\, and a Q&A segment for troubleshooting and best practices. Basic command-line knowledge and access to Hoffman2 are recommended.This workshop will cover running Large Language Models (LLMs) on the Hoffman2 HPC cluster using Ollama for inference and Open WebUI for an easy-to-use interface. Participants will learn how to set up and manage LLM workloads on HPC resources\, optimize performance\, and interact with models through a web-based UI. The session includes a live demo\, hands-on training\, and a Q&A segment for troubleshooting and best practices. Basic command-line knowledge and access to Hoffman2 are recommended. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/running-large-language-models-on-hoffman2
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250502T110000
DTEND;TZID=America/Los_Angeles:20250502T120000
DTSTAMP:20260404T020929
CREATED:20250312T232806Z
LAST-MODIFIED:20250312T232806Z
UID:25751-1746183600-1746187200@idre.ucla.edu
SUMMARY:Using UCLA Mobile Messaging Capabilities for Research
DESCRIPTION:Are you doing research with surveys ( in RedCap or another survey tool) and paying an outside vendor to SMS links to your participants? Did you know that UCLA has a Mobile Messaging service that can send push messages instead that is much more economial? Sending a push message to a simple mobile app costs fractions of a penny. Join this session to learn how you can use modern messaging to connect your participants to their surveys. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/using-ucla-mobile-messaging-capabilities-for-research
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250502T113000
DTEND;TZID=America/Los_Angeles:20250502T123000
DTSTAMP:20260404T020929
CREATED:20250423T111527Z
LAST-MODIFIED:20250616T164658Z
UID:25882-1746185400-1746189000@idre.ucla.edu
SUMMARY:Extracting low-order representations of vortex dominated flows using deep neural networks
DESCRIPTION:Speaker: Barbara Lopez-Doriga\, Ph.D.\nIDRE Postdoctoral Fellow\nMechanical and Aerospace Engineering\nUniversity of California Los Angeles \nPlace: Virtual (Register here for the zoom link) \n  \n\n\nAbstract: There is significant practical interest in understanding and modeling fluid systems\, not only to gain insights into the complex dynamics that govern them\, but also to enable their control for different purposes. These systems are often characterized by a vast number of degrees of freedom and typically demand large amounts of high-fidelity data and computational resources for accurate simulation. In this talk\, I will briefly review several fluid dynamics problems currently being tackled with the aid of large-scale computational tools\, before focusing on the specific challenge addressed by my research. \nUnsteady aerodynamic effects are prevalent in the atmospheric boundary layer and can negatively impact the performance and stability of small- to medium-scale air vehicles. This research aims to identify the parameters and physical factors that can help mitigate these unsteady effects (modeled here as vortex gust encounters) on the aerodynamic loads experienced by such vehicles. To achieve this\, we compile a dataset of gust interactions\, varying in strength and size\, with fixed airfoils of different geometries and angles of attack. We analyze the trends that emerge across these different scenarios and examine how these dynamics are captured and encoded into a low-dimensional latent space via an observable autoencoder. This framework not only enhances our understanding of gust-induced aerodynamic phenomena but also lays the groundwork for future shape optimization studies aimed at identifying airfoil designs that minimize transient aerodynamic loads. \nAbout the speaker: Dr. Lopez-Doriga recently started her position as a postdoctoral scholar in Professor Kunihiko (Sam) Taira’s lab in the Department of Mechanical and Aerospace Engineering at UCLA. Barbara received an MS and a BS in Mechanical Engineering from the Polytechnic University of Madrid\, Spain (UPM). She then received her ME and PhD in Mechanical and Aerospace Engineering from Illinois Institute of Technology (Chicago\, IL). Since joining Taira’s lab\, her interest has been in developing a data-driven machine-learning-based framework to find the optimal airfoil design and control systems for gust mitigation.
URL:https://idre.ucla.edu/calendar-event/barbara-ldoriga-may-2-2025
CATEGORIES:Conferences and Seminars,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250508T110000
DTEND;TZID=America/Los_Angeles:20250508T120000
DTSTAMP:20260404T020929
CREATED:20250312T233044Z
LAST-MODIFIED:20250312T233044Z
UID:25793-1746702000-1746705600@idre.ucla.edu
SUMMARY:Job scheduling on Hoffman2 cluster
DESCRIPTION:In this workshop\, participants will gain hands-on experience with the job scheduling system on the Hoffman2 cluster\, the UCLA’s high-performance computing resource. Additionally\, participants will learn how to write effective job submission scripts\, allocate resources efficiently\, troubleshoot job issues\, and optimize workflows for improved performance. Whether you’re new to job scheduling or looking to refine your skills\, this workshop is designed to help you navigate the tools and processes needed to efficiently run jobs on the Hoffman2 cluster. \nInstructors: Jerry Huang and Shao-Ching Huang \nRegister Now
URL:https://idre.ucla.edu/calendar-event/job-scheduling-on-hoffman2-cluster-4
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250509T100000
DTEND;TZID=America/Los_Angeles:20250509T120000
DTSTAMP:20260404T020929
CREATED:20250312T233220Z
LAST-MODIFIED:20250312T233220Z
UID:25753-1746784800-1746792000@idre.ucla.edu
SUMMARY:Learning Scikit-Learn
DESCRIPTION:Machine learning has become a key element in science and technology today. Mastering libraries like scikit-learn–a vital tool for machine learning–is essential. In this workshop\, you’ll receive a fundamental introduction to the scikit-learn Python library. For the best experience\, participants should have a working knowledge of Python and a basic understanding of machine learning concepts. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/learning-scikit-learn-4
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250512T130000
DTEND;TZID=America/Los_Angeles:20250512T160000
DTSTAMP:20260404T020929
CREATED:20250312T233330Z
LAST-MODIFIED:20250312T233330Z
UID:25754-1747054800-1747065600@idre.ucla.edu
SUMMARY:Binary Logistic Regression in Stata
DESCRIPTION:The analysis of binary outcomes is widespread across scientific fields. This workshop introduces the basics of the most commonly used statistical model for binary outcomes\, logistic regression. Some basic background on probability and odds will be provided\, as well as a brief review of the model itself. This workshop then covers how to run a logistic regression in Stata\, as well as estimating predictions and marginal effects\, graphing model predictions\, and assessing model fit. A little background in Stata is assumed. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/binary-logistic-regression-in-stata
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250513T080000
DTEND;TZID=America/Los_Angeles:20250514T140000
DTSTAMP:20260404T020929
CREATED:20250423T115438Z
LAST-MODIFIED:20250502T184140Z
UID:25896-1747123200-1747231200@idre.ucla.edu
SUMMARY:HPC Monthly Workshop: Machine Learning and BIG DATA
DESCRIPTION:Venue: OARC Portal\, 5628 Math Science Building\, UCLA \nRegistration: https://www.psc.edu/resources/training/hpc-workshop-big-data-may-13-14-2025/ \n  \nUCLA-IDRE and Pittsburgh Supercomputing Center are pleased to announce a two day Machine Learning and Big Data workshop (May 13-14\, 2025\, 8 AM-2 PM PDT each day). \nThis workshop will focus on topics including big data analytics and machine learning with Spark\, and deep  learning using Tensorflow. \nFor registration and detailed information\, please visit: https://www.psc.edu/resources/training/hpc-workshop-big-data-may-13-14-2025/
URL:https://idre.ucla.edu/calendar-event/machine-learning-and-big-data-may-13-14-2025
LOCATION:OARC Portal\, Math Sciences 5628\, 5628 Math Science Building\, UCLA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250516T100000
DTEND;TZID=America/Los_Angeles:20250516T120000
DTSTAMP:20260404T020929
CREATED:20250312T233431Z
LAST-MODIFIED:20250312T233431Z
UID:25756-1747389600-1747396800@idre.ucla.edu
SUMMARY:High Performance Machine Learning Using Scikit-Learn
DESCRIPTION:Machine learning is playing an increasingly important role in science and technology. In this advanced session\, we focus on leveraging scikit-learn for high-performance machine learning. We will explore how to speed up model training using multicore processors and accelerators\, as well as techniques for out-of-core learning. This workshop builds on the foundational concepts from the first session. Attendees should have practical experience in Python programming and a solid grasp of fundamental machine learning concepts. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/high-performance-machine-learning-using-scikit-learn-3
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250516T110000
DTEND;TZID=America/Los_Angeles:20250516T120000
DTSTAMP:20260404T020929
CREATED:20250312T232922Z
LAST-MODIFIED:20250501T214520Z
UID:25752-1747393200-1747396800@idre.ucla.edu
SUMMARY:Intro to Accessible Research
DESCRIPTION: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? Strategic Outcomes: Increased awareness of digital accessibility issues; improved inclusion of disabled populations in UCLA’s research studies; positions UCLA researchers to better serve disabled populations with research outcomes (Paralympic games 2028 will be hosted at UCLA) \nRegister Now
URL:https://idre.ucla.edu/calendar-event/intro-to-accessible-research
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250516T110000
DTEND;TZID=America/Los_Angeles:20250516T123000
DTSTAMP:20260404T020929
CREATED:20250312T233536Z
LAST-MODIFIED:20250312T233536Z
UID:25755-1747393200-1747398600@idre.ucla.edu
SUMMARY:Learn Prompt Engineering and Retrieval Augmented Generation using Open Source LLMs
DESCRIPTION:Are you interested in using LLMs for research? In this 90 minute hands-on workshop\, you will learn how to install and deploy an open-source LLM on your local environment\, create a Retrieval Augmented Generation (RAG) model with visual builders from Diffy and AWS Bedrock and learn prompt-engineering techniques to reduce the occurrence of hallucination and secure against prompt-injection. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/learn-prompt-engineering-and-retrieval-augmented-generation-using-open-source-llms
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250519T130000
DTEND;TZID=America/Los_Angeles:20250519T160000
DTSTAMP:20260404T020929
CREATED:20250312T233623Z
LAST-MODIFIED:20250312T233623Z
UID:25757-1747659600-1747670400@idre.ucla.edu
SUMMARY:Using the SPSS Mixed Command
DESCRIPTION:The purpose of this workshop is to show the use of the mixed command in SPSS. Although it has many uses\, the mixed command is most commonly used for running linear mixed effects models (i.e.\, models that have both fixed and random effects). Such models are often called multilevel models. Because the purpose of this workshop is to show the use of the mixed command\, rather than to teach about multilevel models in general\, many topics important to multilevel modeling will be mentioned but not discussed in detail. References will be provided so that those interested in these topics can find additional information. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/using-the-spss-mixed-command
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250523T100000
DTEND;TZID=America/Los_Angeles:20250523T110000
DTSTAMP:20260404T020929
CREATED:20250312T233710Z
LAST-MODIFIED:20250312T233710Z
UID:25758-1747994400-1747998000@idre.ucla.edu
SUMMARY:Rapid AI Prototyping and Bootstrapping with Low and No-code Tools
DESCRIPTION: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. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/rapid-ai-prototyping-and-bootstrapping-with-low-and-no-code-tools
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250523T100000
DTEND;TZID=America/Los_Angeles:20250523T120000
DTSTAMP:20260404T020929
CREATED:20250312T233812Z
LAST-MODIFIED:20250312T233812Z
UID:25801-1747994400-1748001600@idre.ucla.edu
SUMMARY:Practical Multi-GPU Computing
DESCRIPTION:This workshop provides an introduction to using multiple GPUs for high-performance computing. Participants will explore essential techniques and tools\, including CUDA with C++ and Python\, PyTorch\, and MPI\, to optimize performance and handle complex computations. \nCUDA with C++ and Python will be used to demonstrate the basics of GPU programming\, memory management\, and multi-GPU computations. PyTorch will be introduced for training deep learning models on multiple GPUs\, covering both distributed and model parallelism. MPI will be used to implement multi-GPU scenarios\, providing practical examples and exercises. \nBy the end of this workshop\, participants will have the practical knowledge and skills to effectively utilize multiple GPUs\, overcoming the limitations of single GPU setups. Additionally\, participants will learn how to install and configure the tools discussed in the workshop. \nInstructor: Shao-Ching Huang \nRegister Now
URL:https://idre.ucla.edu/calendar-event/practical-multi-gpu-computing
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250602T130000
DTEND;TZID=America/Los_Angeles:20250602T160000
DTSTAMP:20260404T020929
CREATED:20250312T233912Z
LAST-MODIFIED:20250312T233912Z
UID:25759-1748869200-1748880000@idre.ucla.edu
SUMMARY:Introduction to power simulations in R
DESCRIPTION:This workshop introduces power analysis and simulations to assess power and estimate sample sizes needed for sufficient power. We will begin with simple analyses such as the t-test and will work our way up to various regression models. We will provide guidance in R to program simple Monte Carlo simulations to assess power. Some background in programming loops would be helpful but is not necessary. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/introduction-to-power-simulations-in-r
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250605T100000
DTEND;TZID=America/Los_Angeles:20250605T110000
DTSTAMP:20260404T020929
CREATED:20250312T233953Z
LAST-MODIFIED:20250312T233953Z
UID:25760-1749117600-1749121200@idre.ucla.edu
SUMMARY:Designing AI interfaces for Research Mobile Apps
DESCRIPTION:This workshop explores designing AI interfaces for research mobile apps\, focusing on enhancing user experience. Participants will learn how to leverage Retrieval Augmented Generation (RAG) architectures to achieve accurate performance in specific research domains and specialties. There will be a focus on agentic AI functionality in software products to streamline data collection and ensure compliance by intelligently bridging the gap between user intention and desired actions. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/designing-ai-interfaces-for-research-mobile-apps
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250609T130000
DTEND;TZID=America/Los_Angeles:20250609T160000
DTSTAMP:20260404T020929
CREATED:20250312T165409Z
LAST-MODIFIED:20250312T165606Z
UID:25761-1749474000-1749484800@idre.ucla.edu
SUMMARY:Introduction to directed acyclic graphs (DAGs) for causal inference in R
DESCRIPTION: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 a statistical model intended to minimize bias in the estimation of a causal effect. This workshop discusses the basics of DAGs used for causal inference and outlines simple rules one can follow to know which variables to include in a causal statistical model. The R package daggity will be discussed to visualize DAGs. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/introduction-to-directed-acyclic-graphs-dags-for-causal-inference-in-r
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250707T100000
DTEND;TZID=America/Los_Angeles:20250707T120000
DTSTAMP:20260404T020929
CREATED:20250530T181407Z
LAST-MODIFIED:20250530T181407Z
UID:25969-1751882400-1751889600@idre.ucla.edu
SUMMARY:AI Ethics for Humanities and Social Science
DESCRIPTION:This follow-up to the previous “Introduction to AI/ML/LLM for Humanities and Social Science” workshop builds upon the skills and techniques of using and implementing AI to discuss the technology’s social\, ethical\, and political ramifications\, along with guidelines to using AI for research and teaching. \nThe workshop will address critical ethical concerns surrounding AI\, including bias\, the network effects of dis- and misinformation\, and the authenticity of historical records and provide illustrative use case examples. Discussions will highlight issues of fairness\, intellectual property\, and academic integrity\, drawing from key scholarship in algorithmic ethics and data justice. \nBy the end of the session\, participants will gain a foundational understanding of AI’s role in the humanities\, along with practical tools and frameworks for critically engaging with these technologies in their own research and teaching. The workshop will devote significant time to group discussion\, where participants’ specific concerns and questions about the ethical and practical use of AI can be addressed. \nParticipants are also encouraged to reach out to the workshop organizers in advance with any questions or topics of interest\, which will be integrated into the workshop. \nHybrid Workshop (OARC Portal and Zoom): \n\nIn-person: Math Sciences 5628\nZoom: Link will be emailed to you \n\nRegister Now
URL:https://idre.ucla.edu/calendar-event/ai-ethics-for-humanities-and-social-science
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250716T110000
DTEND;TZID=America/Los_Angeles:20250716T120000
DTSTAMP:20260404T020929
CREATED:20250516T171822Z
LAST-MODIFIED:20250623T152931Z
UID:25955-1752663600-1752667200@idre.ucla.edu
SUMMARY:Best Practices for Social Media Digital Accessibility
DESCRIPTION:Does your research group leverage social media to promote your findings or published works? Do you mine social media data and then do analysis on this data in your research? If yes\, learn how to do this in an accessible way with this workshop. \nStrategic Outcomes: Inclusivity in community engaged research \nDoes your research group leverage social media to promote your findings or published works? Do you mine social media data and then do analysis on this data in your research? If yes\, learn how to do this in an accessible way with this workshop. \nStrategic Outcomes: Inclusivity in community engaged research \nRegister Now \nPlease note that this workshop was originally scheduled for June 20 and has been rescheduled to July 16.
URL:https://idre.ucla.edu/calendar-event/best-practices-for-social-media-digital-accessibility
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250811T130000
DTEND;TZID=America/Los_Angeles:20250811T160000
DTSTAMP:20260404T020929
CREATED:20250623T154937Z
LAST-MODIFIED:20250623T155016Z
UID:25993-1754917200-1754928000@idre.ucla.edu
SUMMARY:Introduction to Stata
DESCRIPTION:This workshop introduces the functionality of Stata with a focus on data analysis. We will discuss the basic interface and do-files as well as explore commands to import data\, create and modify variables\, summarize variables\, visualize data\, combine data sets\, and to run basic analyses. No experience with Stata is assumed. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/introduction-to-stata-8
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250818T130000
DTEND;TZID=America/Los_Angeles:20250818T160000
DTSTAMP:20260404T020929
CREATED:20250623T155305Z
LAST-MODIFIED:20250623T155305Z
UID:25996-1755522000-1755532800@idre.ucla.edu
SUMMARY:Machine Learning for Scientific Research. Part 1
DESCRIPTION:While machine learning methods have traditionally been used for prediction in fields like industry and technology\, they are increasingly being adopted in scientific research for exploration and inference. This two-part workshop introduces key machine learning techniques used for scientific applications.  \n\nPart 1 discusses core concepts such as prediction accuracy\, the bias-variance tradeoff\, and cross-validation.\nPart 2 introduces commonly used methods for scientific research\, including ridge regression\, LASSO\, principal components analysis (PCA)\, regression trees\, and random forests. Practical examples and demonstrations will be provided using R\, and we will discuss how these tools can complement traditional statistical approaches in scientific research.\n\nNo prior experience with machine learning is required\, though familiarity with basic regression is recommended. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/machine-learning-for-scientific-research-part-1
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250825T130000
DTEND;TZID=America/Los_Angeles:20250825T160000
DTSTAMP:20260404T020929
CREATED:20250623T155615Z
LAST-MODIFIED:20250623T155615Z
UID:25998-1756126800-1756137600@idre.ucla.edu
SUMMARY:Machine Learning for Scientific Research. Part 2
DESCRIPTION:While machine learning methods have traditionally been used for prediction in fields like industry and technology\, they are increasingly being adopted in scientific research for exploration and inference. \nThis two-part workshop introduces key machine learning techniques used for scientific applications.  \n\nPart 1 discusses core concepts such as prediction accuracy\, the bias-variance tradeoff\, and cross-validation.\nPart 2 introduces commonly used methods for scientific research\, including ridge regression\, LASSO\, principal components analysis (PCA)\, regression trees\, and random forests. Practical examples and demonstrations will be provided using R\, and we will discuss how these tools can complement traditional statistical approaches in scientific research.\n\nNo prior experience with machine learning is required\, though familiarity with basic regression is recommended. \nRegister Now
URL:https://idre.ucla.edu/calendar-event/machine-learning-for-scientific-research-part-2
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250915T130000
DTEND;TZID=America/Los_Angeles:20250915T160000
DTSTAMP:20260404T020929
CREATED:20250623T155817Z
LAST-MODIFIED:20250623T155817Z
UID:26000-1757941200-1757952000@idre.ucla.edu
SUMMARY:Survey Data Analysis with R
DESCRIPTION:This workshop will show how descriptive analyses\, both numerical and graphical\, can be done with continuous and categorical variables. Subpopulation analysis will be discussed and then examples of OLS regression and logistic regression will be considered. \n\n\n\n\nRegister Now
URL:https://idre.ucla.edu/calendar-event/survey-data-analysis-with-r
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20250925T110000
DTEND;TZID=America/Los_Angeles:20250925T110000
DTSTAMP:20260404T020929
CREATED:20250922T223541Z
LAST-MODIFIED:20250922T225454Z
UID:26198-1758798000-1758798000@idre.ucla.edu
SUMMARY:Digital Accessibility Basics
DESCRIPTION:This interactive session introduces the fundamentals of digital accessibility and why it matters at UCLA. Participants will learn what accessibility means in a digital context\, gain insight into disability culture\, and see a live screen reader demonstration. The training will also cover practical tips for creating accessible documents\, websites\, and media\, including proper use of heading structure\, writing effective alt-text\, and creating descriptive hyperlinks. By the end of the session\, attendees will have a clear understanding of how small changes in everyday digital practices can make a big impact in ensuring equity and inclusion for all.
URL:https://idre.ucla.edu/calendar-event/digital-accessibility-basics
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251001T100000
DTEND;TZID=America/Los_Angeles:20251001T100000
DTSTAMP:20260404T020929
CREATED:20250922T223541Z
LAST-MODIFIED:20250922T225455Z
UID:26199-1759312800-1759312800@idre.ucla.edu
SUMMARY:Getting Started with the Hoffman2 Cluster -- HPC@UCLA Workshop 1 of 5
DESCRIPTION:This introductory workshop is designed for UCLA researchers who are new to the Hoffman2 Cluster. Participants will learn how to request an account\, connect to the cluster via SSH/remote desktop\, navigate the environment\, and transfer files to and from the shared high-performance computing system. No prior experience with HPC is required—this session will provide the foundational skills needed to begin computing on Hoffman2 Cluster confidently.
URL:https://idre.ucla.edu/calendar-event/getting-started-with-the-hoffman2-cluster-hpcucla-workshop-1-of-5
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251002T110000
DTEND;TZID=America/Los_Angeles:20251002T110000
DTSTAMP:20260404T020929
CREATED:20250922T223543Z
LAST-MODIFIED:20250922T225455Z
UID:26200-1759402800-1759402800@idre.ucla.edu
SUMMARY:Introduction to Digital Accessibility Testing
DESCRIPTION:Audience: UCLA web editors\, content creators\, IT staff\, and program managersTools Covered: WAVE Chrome plug-in\, Siteimprove Accessibility\, manual keyboard testing \nBy the end of this training\, participants will: \nUnderstand the basics of digital accessibility and UCLA’s WCAG 2.1 AA compliance requirements.\nLearn how to use WAVE for page-by-page testing.\nLearn how to use Siteimprove for whole-site accessibility scanning and monitoring.\nPractice manual testing with tab navigation to identify barriers that automated tools miss.\nKnow how to prioritize and remediate common accessibility issues.
URL:https://idre.ucla.edu/calendar-event/introduction-to-digital-accessibility-testing
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251006T100000
DTEND;TZID=America/Los_Angeles:20251006T100000
DTSTAMP:20260404T020929
CREATED:20250922T223544Z
LAST-MODIFIED:20250922T225456Z
UID:26201-1759744800-1759744800@idre.ucla.edu
SUMMARY:Spatial Research and the ESRI Ecosystem at UCLA
DESCRIPTION:ESRI is a leading industry provider of geospatial tools and research\, featuring a wide variety of products from AI enhanced analysis to web-publishing solutions for classroom projects. The sheer number of different tools and applications offered by the ESRI digital ecosystem can appear overwhelming\, as can the documentation and associated tutorials. To lower the barrier for using ESRI products\, UCLA has a comprehensive licensing agreement with ESRI\, and offers tutorials\, consultations\, and direct assistance with using the software.\nAs part of these efforts\, this workshop introduces UCLA researchers to the wide range of ESRI products and services available free of charge through the university. Participants will learn about our single-signon access and ESRI products\, and the capabilities of ArcGIS Online\, StoryMaps\, and other ESRI tools to support mapping\, spatial analysis\, and data visualization across disciplines for research and teaching\, with examples pulled directly from the Digital Humanities\, Social Sciences\, and Healthcare. We will also highlight the types of support available from OARC to the campus community\, including training\, research consultations\, teaching support\, and guidance on best practices for incorporating geospatial tools into your interests. Whether you are new to GIS or looking to expand your use of ESRI products\, this session will provide a clear overview of the resources and expertise available at UCLA.
URL:https://idre.ucla.edu/calendar-event/spatial-research-and-the-esri-ecosystem-at-ucla
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251007T123000
DTEND;TZID=America/Los_Angeles:20251007T123000
DTSTAMP:20260404T020929
CREATED:20250922T223545Z
LAST-MODIFIED:20250922T225456Z
UID:26202-1759840200-1759840200@idre.ucla.edu
SUMMARY:From Polygons to Presence: Crafting 3D Assets for Immersive Research Experiences
DESCRIPTION:Academic researchers across disciplines—from archaeology and medicine to data science and the digital humanities—increasingly need to create\, manipulate\, and display three-dimensional models. Whether reconstructing historical sites\, visualizing complex protein structures\, or building virtual environments for psychological experiments\, the challenge is often the same: how to produce custom\, accurate\, and performance-optimized 3D assets without access to large budgets or specialized digital arts training. Commercial software can be prohibitively expensive\, and outsourcing asset creation can sever the direct link between the research and its visual representation. There is a need for tools that are accessible\, powerful\, and versatile enough to support the entire 3D production pipeline within a research context.\nThis workshop will introduce options for all-levels\, from rapid prototyping to detailed rendering\, and will provide examples from a variety of disciplines. Participants will also learn how to use AI to support the pipeline from idea to 3D assets to AR or VR output (using https://www.8thwall.com/) and how agentic AI can be applied to avatars in VR environments (https://www.mud.foundation/mud-verse) .   \nParticipants are encouraged to reach out to the workshop organizer in advance with any specific tools of interest.
URL:https://idre.ucla.edu/calendar-event/from-polygons-to-presence-crafting-3d-assets-for-immersive-research-experiences
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251009T140000
DTEND;TZID=America/Los_Angeles:20251009T140000
DTSTAMP:20260404T020929
CREATED:20250922T223548Z
LAST-MODIFIED:20250922T225503Z
UID:26203-1760018400-1760018400@idre.ucla.edu
SUMMARY:Foundations for Sustainable Research Software
DESCRIPTION:Part of the series: From Scripts to Software: Practical Python for Reproducible Research\nThis hands-on workshop will introduce you to the principles of modern software development and show you how to apply them to your scientific projects. We will move beyond simple scripting and learn how to write Python code that is robust\, reusable\, and ready for the challenges of modern research. While the examples are in Python\, the underlying principles of software design are universal and apply to any programming language. \nNext workshops as part of the series: Scaling Your Science with Parallel Computing (10/16) and Accelerating Your Code with GPUs (10/30)
URL:https://idre.ucla.edu/calendar-event/foundations-for-sustainable-research-software
LOCATION:Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251010T120000
DTEND;TZID=America/Los_Angeles:20251010T130000
DTSTAMP:20260404T020929
CREATED:20250922T223549Z
LAST-MODIFIED:20251006T222748Z
UID:26204-1760097600-1760101200@idre.ucla.edu
SUMMARY:Introduction to Siteimprove Accessibility Software
DESCRIPTION:This training introduces participants to Siteimprove\, UCLA’s automated accessibility evaluation platform. Attendees will learn how to navigate the main accessibility dashboard\, review accessibility issues across their websites\, and use the platform’s menus and tools effectively. The session will also cover strategies for prioritizing accessibility issues identified by Siteimprove\, helping participants understand which fixes have the greatest impact. By the end of the hour\, participants will be confident in using Siteimprove to monitor\, evaluate\, and improve the accessibility of their digital content.
URL:https://idre.ucla.edu/calendar-event/introduction-to-siteimprove-accessibility-software
LOCATION:Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20251015T100000
DTEND;TZID=America/Los_Angeles:20251015T100000
DTSTAMP:20260404T020929
CREATED:20250922T223549Z
LAST-MODIFIED:20250922T225503Z
UID:26205-1760522400-1760522400@idre.ucla.edu
SUMMARY:Navigating the Cluster & Running Jobs Interactively -- HPC@UCLA Workshop 2 of 5
DESCRIPTION:This hands-on session introduces participants to the layout and usage of the Hoffman2 Cluster environment. Attendees will learn how to navigate the file system\, load software modules\, and run interactive computing sessions using the job scheduler. Ideal for researchers looking to explore tools\, test code\, or perform small-scale analyses in real time.
URL:https://idre.ucla.edu/calendar-event/navigating-the-cluster-running-jobs-interactively-hpcucla-workshop-2-of-5
END:VEVENT
END:VCALENDAR