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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:20260406T200132
DTEND;TZID=America/Los_Angeles:20260406T200132
DTSTAMP:20260406T200132
CREATED:20250922T215229Z
LAST-MODIFIED:20250922T215229Z
UID:26168-0-0@idre.ucla.edu
SUMMARY:Part of the series: From Scripts to Software: Practical Python for Reproducible Research \nNow that you have a solid foundation in writing sustainable and object-oriented Python code\, we will explore how to scale up your research by breaking the single-processor barrier. This workshop will introduce you to the world of parallel computing\, empowering you to tackle larger research problems.\n\nNext workshop as part of the series: Accelerating Your Code with GPUs (10/30)
DESCRIPTION:Scaling Your Science with Parallel Computing
URL:https://idre.ucla.edu/calendar-event/part-of-the-series-from-scripts-to-software-practical-python-for-reproducible-research-now-that-you-have-a-solid-foundation-in-writing-sustainable-and-object-oriented-python-code-we-will-explore-h
LOCATION:Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T200132
DTEND;TZID=America/Los_Angeles:20260406T200132
DTSTAMP:20260406T200132
CREATED:20250922T215228Z
LAST-MODIFIED:20250922T215523Z
UID:26166-0-0@idre.ucla.edu
SUMMARY: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.
DESCRIPTION:Introduction to Siteimprove
URL:https://idre.ucla.edu/calendar-event/this-training-introduces-participants-to-siteimprove-uclas-automated-accessibility-evaluation-platform-attendees-will-learn-how-to-navigate-the-main-accessibility-dashboard-review-accessib
LOCATION:Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T200132
DTEND;TZID=America/Los_Angeles:20260406T200132
DTSTAMP:20260406T200132
CREATED:20250922T215226Z
LAST-MODIFIED:20250922T215226Z
UID:26165-0-0@idre.ucla.edu
SUMMARY: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.\n\nNext workshops as part of the series: Scaling Your Science with Parallel Computing (10/16) and Accelerating Your Code with GPUs (10/30)
DESCRIPTION:Foundations for Sustainable Research Software
URL:https://idre.ucla.edu/calendar-event/part-of-the-series-from-scripts-to-software-practical-python-for-reproducible-research-this-hands-on-workshop-will-introduce-you-to-the-principles-of-modern-software-development-and-show-you-how-t
LOCATION:Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T200132
DTEND;TZID=America/Los_Angeles:20260406T200132
DTSTAMP:20260406T200132
CREATED:20250922T215223Z
LAST-MODIFIED:20250922T215223Z
UID:26164-0-0@idre.ucla.edu
SUMMARY: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) .  \n\nParticipants are encouraged to reach out to the workshop organizer in advance with any specific tools of interest.
DESCRIPTION:From Polygons to Presence: Crafting 3D Assets for Immersive Research Experiences
URL:https://idre.ucla.edu/calendar-event/academic-researchers-across-disciplines-from-archaeology-and-medicine-to-data-science-and-the-digital-humanities-increasingly-need-to-create-manipulate-and-display-three-dimensional
LOCATION:Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T200132
DTEND;TZID=America/Los_Angeles:20260406T200132
DTSTAMP:20260406T200132
CREATED:20250922T215222Z
LAST-MODIFIED:20250922T215222Z
UID:26163-0-0@idre.ucla.edu
SUMMARY: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.
DESCRIPTION:Spatial Research and the ESRI Ecosystem at UCLA
URL:https://idre.ucla.edu/calendar-event/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-numbe
LOCATION:Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T200132
DTEND;TZID=America/Los_Angeles:20260406T200132
DTSTAMP:20260406T200132
CREATED:20250922T215221Z
LAST-MODIFIED:20250922T215221Z
UID:26162-0-0@idre.ucla.edu
SUMMARY:Audience: UCLA web editors\, content creators\, IT staff\, and program managersTools Covered: WAVE Chrome plug-in\, Siteimprove Accessibility\, manual keyboard testing\n\nBy the end of this training\, participants will:\n\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.
DESCRIPTION:Introduction to Digital Accessibility Testing
URL:https://idre.ucla.edu/calendar-event/audience-ucla-web-editors-content-creators-it-staff-and-program-managerstools-covered-wave-chrome-plug-in-siteimprove-accessibility-manual-keyboard-testingby-the-end-of-this-training-partici
LOCATION:Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T200132
DTEND;TZID=America/Los_Angeles:20260406T200132
DTSTAMP:20260406T200132
CREATED:20250922T215220Z
LAST-MODIFIED:20250922T215220Z
UID:26161-0-0@idre.ucla.edu
SUMMARY: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.
DESCRIPTION:Getting Started with the Hoffman2 Cluster — HPC@UCLA Workshop 1 of 5
URL:https://idre.ucla.edu/calendar-event/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-navig
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T200132
DTEND;TZID=America/Los_Angeles:20260406T200132
DTSTAMP:20260406T200132
CREATED:20250922T215219Z
LAST-MODIFIED:20250922T215419Z
UID:26160-0-0@idre.ucla.edu
SUMMARY: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.
DESCRIPTION:Digital Accessibility Basics
URL:https://idre.ucla.edu/calendar-event/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-disab
LOCATION:Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T200132
DTEND;TZID=America/Los_Angeles:20260406T200132
DTSTAMP:20260406T200132
CREATED:20250612T194849Z
LAST-MODIFIED:20250612T194849Z
UID:25985-0-0@idre.ucla.edu
SUMMARY: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. Part 1 discusses core concepts such as prediction accuracy\, the bias-variance tradeoff\, and cross-validation. Part 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. No prior experience with machine learning is required\, though familiarity with basic regression is recommended.
DESCRIPTION:Machine Learning for Scientific Research. Part 2
URL:https://idre.ucla.edu/calendar-event/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-infer-3
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T200132
DTEND;TZID=America/Los_Angeles:20260406T200132
DTSTAMP:20260406T200132
CREATED:20250612T194848Z
LAST-MODIFIED:20250612T194848Z
UID:25983-0-0@idre.ucla.edu
SUMMARY: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.
DESCRIPTION:Introduction to Stata
URL:https://idre.ucla.edu/calendar-event/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-variab-2
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T200132
DTEND;TZID=America/Los_Angeles:20260406T200132
DTSTAMP:20260406T200132
CREATED:20250612T194848Z
LAST-MODIFIED:20250612T194848Z
UID:25984-0-0@idre.ucla.edu
SUMMARY: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. Part 1 discusses core concepts such as prediction accuracy\, the bias-variance tradeoff\, and cross-validation. Part 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. No prior experience with machine learning is required\, though familiarity with basic regression is recommended.
DESCRIPTION:Machine Learning for Scientific Research. Part 1
URL:https://idre.ucla.edu/calendar-event/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-infer-2
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T200132
DTEND;TZID=America/Los_Angeles:20260406T200132
DTSTAMP:20260406T200132
CREATED:20250612T194847Z
LAST-MODIFIED:20250612T194855Z
UID:25982-0-0@idre.ucla.edu
SUMMARY: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.
DESCRIPTION:Survey Data Analysis with R
URL:https://idre.ucla.edu/calendar-event/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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T200132
DTEND;TZID=America/Los_Angeles:20260406T200132
DTSTAMP:20260406T200132
CREATED:20250612T194846Z
LAST-MODIFIED:20250612T194847Z
UID:25980-0-0@idre.ucla.edu
SUMMARY: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. Part 1 discusses core concepts such as prediction accuracy\, the bias-variance tradeoff\, and cross-validation. Part 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. No prior experience with machine learning is required\, though familiarity with basic regression is recommended.
DESCRIPTION:Machine Learning for Scientific Research. Part 2
URL:https://idre.ucla.edu/calendar-event/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-infere
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260406T200132
DTEND;TZID=America/Los_Angeles:20260406T200132
DTSTAMP:20260406T200132
CREATED:20250612T194845Z
LAST-MODIFIED:20250612T194845Z
UID:25979-0-0@idre.ucla.edu
SUMMARY: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.
DESCRIPTION:Introduction to Stata
URL:https://idre.ucla.edu/calendar-event/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-variab
END:VEVENT
END:VCALENDAR