BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Institute for Digital Research and Education - ECPv6.15.17.1//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH 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 REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20230312T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20231105T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20240310T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20241103T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20250309T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20251102T090000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT DTSTART:20260308T100000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0700 TZOFFSETTO:-0800 TZNAME:PST DTSTART:20261101T090000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250404T110000 DTEND;TZID=America/Los_Angeles:20250404T120000 DTSTAMP:20260502T044921 CREATED:20250312T164924Z LAST-MODIFIED:20250312T165516Z UID:25744-1743764400-1743768000@idre.ucla.edu SUMMARY:Building Accessibility into Research Mobile Apps DESCRIPTION:Mobile Apps like websites need to be built with accessibility in mind to comply with the WCAG 2.1 standard. Fortunately\, Mobile devices themselves have alot of accessibility features already built in. When building a mobile app\, or working with an outside vendor to build a research app as an instrument\, you should include this as a requirement upfront. This will be more important starting in April of 2026 when new ADA compliance deadlines come into play. Join us for this talk to learn how to build accessibility into your research planning process. \nRegister Now URL:https://idre.ucla.edu/calendar-event/building-accessibility-into-research-mobile-apps CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250321T100000 DTEND;TZID=America/Los_Angeles:20250321T110000 DTSTAMP:20260502T044921 CREATED:20250213T085451Z LAST-MODIFIED:20250213T090732Z UID:25485-1742551200-1742554800@idre.ucla.edu SUMMARY:Rapid AI Prototyping with custom GPTs pt. 2 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. This will be a hands on workshop. URL:https://idre.ucla.edu/calendar-event/__trashed-49 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250314T100000 DTEND;TZID=America/Los_Angeles:20250314T120000 DTSTAMP:20260502T044921 CREATED:20250213T085451Z LAST-MODIFIED:20250213T092245Z UID:25484-1741946400-1741953600@idre.ucla.edu SUMMARY:Parallel Transpose Algorithms: Massively Parallel Computing with GPUs Series DESCRIPTION:Several highly accurate computational methods\, such as Fourier spectral method and compact finite difference method\, 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 to efficiently process and analyze these large datasets across multiple processors without compromising accuracy or speed. \n  \nWe will explore parallel transpose algorithms designed to efficiently distribute and rearrange large datasets across multiple processors. By leveraging the Message Passing Interface (MPI)\, we will examine techniques to optimize data movement and minimize communication overhead for 2D and 3D transpose operations. These algorithms can significantly reduce execution time and improve scalability\, enabling the simulation of larger and more complex physical systems.  \n  \nThis workshop emphasizes the practical aspects of implementing these methods\, and is beneficial for two groups of people: \n  \nCoders: If you’re building your own code\, this workshop will provide practical experience in implementing parallel transpose algorithms. \n  \nUsers: If you’re using existing research code\, this workshop will help you understand its performance and potential limitations\, enabling you to optimize its use. URL:https://idre.ucla.edu/calendar-event/__trashed-48 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250314T100000 DTEND;TZID=America/Los_Angeles:20250314T110000 DTSTAMP:20260502T044921 CREATED:20250213T085450Z LAST-MODIFIED:20250213T090731Z UID:25483-1741946400-1741950000@idre.ucla.edu SUMMARY:Rapid AI Prototyping with custom GPTs pt. 1 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. URL:https://idre.ucla.edu/calendar-event/__trashed-47 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250310T130000 DTEND;TZID=America/Los_Angeles:20250310T160000 DTSTAMP:20260502T044921 CREATED:20250213T085450Z LAST-MODIFIED:20250213T090715Z UID:25482-1741611600-1741622400@idre.ucla.edu SUMMARY:Generalized Linear Regression Models in R DESCRIPTION: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 are provided. Some exposure to both linear regression and R would be helpful but are not required. URL:https://idre.ucla.edu/calendar-event/__trashed-46 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250307T110000 DTEND;TZID=America/Los_Angeles:20250307T120000 DTSTAMP:20260502T044921 CREATED:20250213T085449Z LAST-MODIFIED:20250213T090715Z UID:25481-1741345200-1741348800@idre.ucla.edu SUMMARY:Accessible Study Recruitment & Consent Process DESCRIPTION: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 URL:https://idre.ucla.edu/calendar-event/__trashed-45 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250303T130000 DTEND;TZID=America/Los_Angeles:20250303T160000 DTSTAMP:20260502T044921 CREATED:20250213T085449Z LAST-MODIFIED:20250213T090714Z UID:25480-1741006800-1741017600@idre.ucla.edu SUMMARY:Introduction to Linear Regression in R DESCRIPTION: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 to R. URL:https://idre.ucla.edu/calendar-event/__trashed-44 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250228T113000 DTEND;TZID=America/Los_Angeles:20250228T123000 DTSTAMP:20260502T044921 CREATED:20250213T092721Z LAST-MODIFIED:20250325T181632Z UID:25536-1740742200-1740745800@idre.ucla.edu SUMMARY:A computational framework of human voice production: Muscle activation simulation in male and female voices DESCRIPTION:Speaker: Tsukasa Yoshinaga\, Ph.D.\nIDRE Postdoctoral Fellow\nDepartment of Head and Neck Surgery\nUniversity of California Los Angeles \nPlace: Virtual  \n \n\n\n\n\nAccess the event recording \nAbstract: Human voice production is a complex process requiring precise coordination of respiratory and laryngeal muscle activation. These components shape voice quality\, enabling humans to produce a wide range of voice types. However\, their interaction remains poorly understood\, mainly due to the challenges in directly observing the larynx. The goal of our study is to identify physiological factors contributing to individual voice differences. We propose a computational model to simulate human laryngeal muscle activation in the phonation process. By modeling laryngeal muscle activation in male and female larynges\, we examine how different muscles coordinate to posture the vocal folds in producing voices of diverse voice qualities. \nAbout the speaker: Dr. Yoshinaga is a visiting scholar working with Professor Zhaoyan Zhang in the Head and Neck Surgery Department at UCLA. He received a Ph.D. in Mechanical Engineering from Osaka University\, where he is currently an Assistant Professor. His research focuses on sound generation mechanisms in human speech and musical instruments using numerical simulations. URL:https://idre.ucla.edu/calendar-event/a-computational-framework-of-human-voice-production-muscle-activation-simulation-in-male-and-female-voices ORGANIZER;CN="T V Singh":MAILTO:tvsingh@ucla.edu END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250228T100000 DTEND;TZID=America/Los_Angeles:20250228T120000 DTSTAMP:20260502T044921 CREATED:20250213T085448Z LAST-MODIFIED:20250213T090714Z UID:25479-1740736800-1740744000@idre.ucla.edu SUMMARY:Introduction to Cloud Computing DESCRIPTION: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 campus researchers can leverage the cloud for efficiency\, cost savings\, and innovation. It’s designed for beginners with little to no prior experience in cloud technologies. URL:https://idre.ucla.edu/calendar-event/__trashed-43 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250228T100000 DTEND;TZID=America/Los_Angeles:20250228T120000 DTSTAMP:20260502T044921 CREATED:20250213T085437Z LAST-MODIFIED:20250213T090713Z UID:25478-1740736800-1740744000@idre.ucla.edu SUMMARY:High Performance Python for Data Analytics pt.2 DESCRIPTION: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 tool for high-performance big data analytics. In the second 2-hour session\, our focus will be on techniques for loading and processing extremely large datasets in Python on a single machine\, comparing dataframe implementations from Pandas\, Modin\, Pandarallel\, Dask\, and Vaex\, among others. No specific prerequisites are required to join the lecture\, but familiarity with Python’s numpy and Pandas packages will aid in fully grasping the discussed content. URL:https://idre.ucla.edu/calendar-event/__trashed-42 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250224T130000 DTEND;TZID=America/Los_Angeles:20250224T160000 DTSTAMP:20260502T044921 CREATED:20250213T085436Z LAST-MODIFIED:20250213T090607Z UID:25477-1740402000-1740412800@idre.ucla.edu SUMMARY:Introduction to Mediation Models using Mplus\, DESCRIPTION: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. URL:https://idre.ucla.edu/calendar-event/__trashed-41 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250221T100000 DTEND;TZID=America/Los_Angeles:20250221T120000 DTSTAMP:20260502T044921 CREATED:20250213T085436Z LAST-MODIFIED:20250213T090607Z UID:25476-1740132000-1740139200@idre.ucla.edu SUMMARY:High Performance Python for Data Analytics pt.1 DESCRIPTION: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 tool for high-performance big data analytics. In our first 2-hour session\, we’ll concentrate on significantly accelerating Python code at the interpreter level. We’ll demystify concepts such as the GIL and JIT and introduce packages like PyPy\, Numba\, Pythran\, and Cython. While there are no strict prerequisites for this lecture\, prior programming experience in Python will be advantageous for a complete understanding of the material. URL:https://idre.ucla.edu/calendar-event/__trashed-40 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250219T113000 DTEND;TZID=America/Los_Angeles:20250219T123000 DTSTAMP:20260502T044921 CREATED:20250213T085435Z LAST-MODIFIED:20250213T090606Z UID:25475-1739964600-1739968200@idre.ucla.edu SUMMARY:Big Data on HPC DESCRIPTION: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 UCLAÕs Hoffman2 cluster. Through hands-on examples and demonstrations\, participants will explore the capabilities of popular Big Data software and libraries\, including Spark and Dask\, and how these tools can streamline data-intensive tasks on HPC systems. URL:https://idre.ucla.edu/calendar-event/__trashed-39 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250210T130000 DTEND;TZID=America/Los_Angeles:20250210T160000 DTSTAMP:20260502T044921 CREATED:20250213T085435Z LAST-MODIFIED:20250213T090606Z UID:25473-1739192400-1739203200@idre.ucla.edu SUMMARY:Introduction to Survival Analysis in R DESCRIPTION: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 R will be helpful but not necessarily required to follow the workshop material. URL:https://idre.ucla.edu/calendar-event/__trashed-38 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250210T100000 DTEND;TZID=America/Los_Angeles:20250210T120000 DTSTAMP:20260502T044921 CREATED:20250213T085434Z LAST-MODIFIED:20250213T090606Z UID:25474-1739181600-1739188800@idre.ucla.edu SUMMARY:Introduction to Graph Databases DESCRIPTION: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\, this session introduces graph databases\, with a focus on Neo4j and Wikibase. Spanning two hours\, the first half of the workshop will focus on graph database fundamentals\, the network data model\, and the differences between graph and traditional SQL relational databases. We will then demonstrate common tasks and procedures in Neo4j and Wikibase\, and show how to use graph databases as a backend to data visualization and manipulation in python / juptyter notebooks. This workshop assumes that participants have general knowledge of relational databases or previous participation in part 1 of the database series. Participants will need to install a working copy of Neo4j Desktop Community Edition by visiting https://neo4j.com/deployment-center/\, scrolling to the section Neo4j Desktop\, then download and install the program. URL:https://idre.ucla.edu/calendar-event/__trashed-37 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250207T110000 DTEND;TZID=America/Los_Angeles:20250207T120000 DTSTAMP:20260502T044921 CREATED:20250213T085433Z LAST-MODIFIED:20250213T090552Z UID:25472-1738926000-1738929600@idre.ucla.edu SUMMARY:Planning for Accessibility in Research Proposals and Practices DESCRIPTION:In this training you will lean learn about the following topics: \n¥ Introduction to DCP and Services for Researchers\n¥ Training and Resources for Accessible Research\n¥ Accessible Research Tools\n¥ What is Disability? (ADA Definition)\n¥ Overview of Laws & Policies Around Accessible Research\n¥ Best Practices in Planning for Accessible Research\n¥ Accessibility vs. Accommodations\n¥ Providing Accommodations to Disabled Participants\n¥ Inclusivity in Participant Recruitment\n¥ Developing an Accessible Consent Process\n¥ 508 Research Compliance Report\n¥ Planning for an Accessible Research Website\n¥ Preparing Research Staff to Work with Disabled Participants\n¥ Communicating with People with Disabilities\n¥ General Best Practices URL:https://idre.ucla.edu/calendar-event/__trashed-36 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250204T100000 DTEND;TZID=America/Los_Angeles:20250204T120000 DTSTAMP:20260502T044921 CREATED:20250213T085433Z LAST-MODIFIED:20250213T090552Z UID:25471-1738663200-1738670400@idre.ucla.edu SUMMARY:Introduction to Databases pt.1 DESCRIPTION: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 foundational understanding of database design\, relational structures\, and key technical concepts. Over two hours\, attendees will learn the essentials of organizing and managing complex data\, exploring primary and foreign keys\, table relationships\, and normalization to reduce redundancy and errors. The workshop will introduce popular database platforms\, such as MySQL\, PostgreSQL\, and MongoDB\, as well as beginner-friendly tools like Google Sheets and Airtable\, providing insight into selecting the right tool for different projects. Through hands-on activities and discussions on ethical data use\, participants will leave equipped URL:https://idre.ucla.edu/calendar-event/__trashed-35 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250131T113000 DTEND;TZID=America/Los_Angeles:20250131T123000 DTSTAMP:20260502T044921 CREATED:20250213T093937Z LAST-MODIFIED:20250213T094004Z UID:25546-1738323000-1738326600@idre.ucla.edu SUMMARY:Transfer Learning Across Heterogeneous Structures for Large-Scale Structural Health Monitoring Purposes DESCRIPTION:Speaker: Hesam Soleimani\, Ph.D.\nIDRE Postdoctoral Fellow\nCivil Engineering\nUniversity of California Los Angeles    \n\nPlace: Virtual (Video recording)\n\n\n\n\n\n\nAbstract: 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 between non-damaged and damaged states. The traditional methods for monitoring the health of such infrastructure face challenges in terms of scalability and generalizability. Emerging approaches\, including Generative Adversarial Networks (GANs)\, Contrastive Learning\, and Transfer Learning (TL)\, combined with SHM domain knowledge\, address these limitations by enabling SHM models to function effectively without requiring observed damaged states. The presentation will cover these advancements\, including research endeavors in the Taciroglu Research Group (TRG) at UCLA\, that pave the way for scalable and reliable SHM in complex urban environments. \nAbout the speaker:  Dr. Soleimani is an IDRE fellow and a postdoctoral researcher in the Civil Engineering department at the Samueli School of Engineering. He holds a Ph.D. in Civil Engineering and an MSc in Computer Science\, both obtained from Virginia Tech and his research has always been at the intersection of these two areas. URL:https://idre.ucla.edu/calendar-event/transfer-learning-across-heterogeneous-structures-for-large-scale-structural-health-monitoring-purposes END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250131T113000 DTEND;TZID=America/Los_Angeles:20250131T123000 DTSTAMP:20260502T044921 CREATED:20250213T085432Z LAST-MODIFIED:20250213T090551Z UID:25470-1738323000-1738326600@idre.ucla.edu SUMMARY:Building Containers for HPC DESCRIPTION: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 UCLAÕs Hoffman2 cluster. Whether you want to create portable\, reproducible environments for your research or are simply curious about containerization\, this workshop will provide valuable hands-on experience and tools to get you started. URL:https://idre.ucla.edu/calendar-event/__trashed-34 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250131T110000 DTEND;TZID=America/Los_Angeles:20250131T120000 DTSTAMP:20260502T044921 CREATED:20250213T085432Z LAST-MODIFIED:20250213T090551Z UID:25469-1738321200-1738324800@idre.ucla.edu SUMMARY:RAG for Open Source LLMs DESCRIPTION:Learn how to reduce hallucinations and improve the quality of LLM responses using retrieval augmented generation. URL:https://idre.ucla.edu/calendar-event/__trashed-33 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250129T113000 DTEND;TZID=America/Los_Angeles:20250129T123000 DTSTAMP:20260502T044921 CREATED:20250213T085431Z LAST-MODIFIED:20250213T090550Z UID:25468-1738150200-1738153800@idre.ucla.edu SUMMARY:Using Containers on HPC Resources DESCRIPTION:Containers are revolutionizing the way scientific software is run on High-Performance Computing (HPC) platforms by providing a ÔvirtualÕ 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 UCLAÕs Hoffman2 cluster\, which supports containerized applications through Apptainer. YouÕll learn to deploy and run scientific software such as NWChem\, R\, RStudio\, Python\, Jupyter\, and more within containers. URL:https://idre.ucla.edu/calendar-event/__trashed-32 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250123T130000 DTEND;TZID=America/Los_Angeles:20250123T150000 DTSTAMP:20260502T044921 CREATED:20250213T085431Z LAST-MODIFIED:20250213T090507Z UID:25467-1737637200-1737644400@idre.ucla.edu SUMMARY:Data Visualization with Python II: Making Interactive Plots and Dashboards DESCRIPTION: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 oneÕs ability to explore data and conceptualize trends and dependencies. WeÕll dive into Python libraries for making interactive widgets\, plots\, and dashboards. These will be covered in interactive exercises so that attendees can gain direct experience in using these libraries. Basic familiarity with Python will be useful. URL:https://idre.ucla.edu/calendar-event/__trashed-31 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250122T113000 DTEND;TZID=America/Los_Angeles:20250122T123000 DTSTAMP:20260502T044921 CREATED:20250213T085430Z LAST-MODIFIED:20250213T090506Z UID:25466-1737545400-1737549000@idre.ucla.edu SUMMARY:Hoffman2 Happy Hour: Using RStudio on Hoffman2 DESCRIPTION: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 youÕre new to Hoffman2 or looking to expand your computational research toolkit\, this session will guide you through the process of setting up and using RStudio Server\, enabling you to harness the power of this platform for your data analysis and visualization needs. URL:https://idre.ucla.edu/calendar-event/__trashed-30 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250116T130000 DTEND;TZID=America/Los_Angeles:20250116T150000 DTSTAMP:20260502T044921 CREATED:20250213T085301Z LAST-MODIFIED:20250213T090506Z UID:25465-1737032400-1737039600@idre.ucla.edu SUMMARY:Data Visualization with Python I: Plotting Fundamentals DESCRIPTION: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 first part of this series will showcase various ways that Python can be used for creating graphics\, following which weÕll dive into some common Python libraries for data viz: Matplotlib\, Pandas\, and Seaborn. We will go through several interactive exercises so that attendees can gain direct experience in using these libraries and will be prepared to learn more on their own after the workshop. Basic familiarity with Python will be useful. URL:https://idre.ucla.edu/calendar-event/__trashed CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250110T110000 DTEND;TZID=America/Los_Angeles:20250110T120000 DTSTAMP:20260502T044921 CREATED:20250213T085301Z LAST-MODIFIED:20250213T090506Z UID:25464-1736506800-1736510400@idre.ucla.edu SUMMARY:Intro to Digital Accessibility in 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 UCLAÕs research studies; positions UCLA researchers to better serve disabled populations with research outcomes (Paralympic games 2028 will be hosted at UCLA) URL:https://idre.ucla.edu/calendar-event/__trashed-2 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241213T110000 DTEND;TZID=America/Los_Angeles:20241213T120000 DTSTAMP:20260502T044921 CREATED:20250213T085302Z LAST-MODIFIED:20250213T090505Z UID:25463-1734087600-1734091200@idre.ucla.edu SUMMARY:Using GitHub for Continuous Integration/Continuous Deployment DESCRIPTION: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. Join this workshop to learn how to leverage GitHubÕs advanced CI/CD tools that come with the Github Enterprise account to enhance your DevOps practice. URL:https://idre.ucla.edu/calendar-event/__trashed-3 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241210T080000 DTEND;TZID=America/Los_Angeles:20241211T140000 DTSTAMP:20260502T044921 CREATED:20250213T093835Z LAST-MODIFIED:20250213T093835Z UID:25544-1733817600-1733925600@idre.ucla.edu SUMMARY:HPC Workshop: Message Passing Interface (MPI) DESCRIPTION:UCLA-IDRE\, along with ACCESS and Pittsburgh Supercomputing Center\, is pleased to announce a workshop on the Introduction to Message Passing Interface (MPI). \nThis workshop will give C and Fortran programmers a hands-on introduction to MPI programming. Both days are compact and packed with helpful information and lab exercises. Attendees will leave with a working knowledge of how to write scalable codes using MPI – the standard programming tool of scalable parallel computing. \nThis event will be presented using the Wide Area Classroom(WAC) training platform. It is an in-person event hosted by IDRE\, one of the satellite sites; there is no direct-to-desktop option. \nRegistration: Interested applicants must first have an ACCESS ID.  If you do not have an ACCESS ID\, please visit this page to create one: ACCESS user registration. \nOnce you have an ACCESS ID\, please email (indicating your ACCESS ID and your wish to attend UCLA-IDRE site) to Tom Maiden at tmaiden@psc.edu by Friday\, December 6 at noon Eastern time. \nFor more information\, visit the workshop website: https://www.psc.edu/resources/training/hpc-workshop-december-2024-mpi/ URL:https://idre.ucla.edu/calendar-event/hpc-workshop-message-passing-interface-mpi END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241206T130000 DTEND;TZID=America/Los_Angeles:20241206T140000 DTSTAMP:20260502T044921 CREATED:20250213T093711Z LAST-MODIFIED:20250213T093711Z UID:25541-1733490000-1733493600@idre.ucla.edu SUMMARY:Panel Discussion on Applications of AI in Research Computing DESCRIPTION:Venue: Virtual (link to the recorded video) \nThe IDRE Early Career Researchers (ECR) group is pleased to host a panel discussion on applications of AI technology in research computing. The panel will be led by the following new IDRE fellows (2024-2025) from various disciplines across the UCLA campus. \n\nBarbara Lopez-Doriga\, Mechanical and Aerospace Engineering\nClaire Schollaert\, Environmental Health Sciences\nEulanca Liu\, Radiation Oncology\nMo Zhou\, Mathematics\nHesam Soleimani\, Civil Engineering\nTsukasa Yoshinaga\, Head and Neck Surgery\n\nIDRE fellows will initiate the event with introductions and their lightning talks\, followed by Q&A and discussion. They will explore how AI technology revolutionizes research methodologies and allows for analyzing and predicting complex datasets\, fueling innovation in fields ranging from medical science to engineering and mathematics. The panel will also discuss how machine learning harnesses high-performance computing (HPC) resources to process large datasets. \n  URL:https://idre.ucla.edu/calendar-event/panel-discussion-on-applications-of-ai-in-research-computing END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241206T110000 DTEND;TZID=America/Los_Angeles:20241206T120000 DTSTAMP:20260502T044921 CREATED:20250213T085303Z LAST-MODIFIED:20250213T090452Z UID:25462-1733482800-1733486400@idre.ucla.edu SUMMARY:Collecting Research Data on the Go DESCRIPTION:Mobile App Research allows for flexible collection of data. Being Òin the fieldÓ can now happen anytime and anywhere. This is true across a broad spectrum of disciplines today including public health\, life sciences\, digital humanities\, social sciences\, physical sciences\, public affairs\, mhealth and more. Techniques to collect data can leverage notification systems\, be randomized\, and include push\, sms and geo-specific triggers. Citizen science\, social justice and community engagement are some examples of research leveraging mobile technology to expand the reach of UCLA in the Los Angeles community. Join this session to learn how to leverage mobile app tools and platforms developed for research at the Office of Advanced Research. URL:https://idre.ucla.edu/calendar-event/__trashed-4 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241204T110000 DTEND;TZID=America/Los_Angeles:20241204T120000 DTSTAMP:20260502T044921 CREATED:20250213T085304Z LAST-MODIFIED:20250213T090452Z UID:25461-1733310000-1733313600@idre.ucla.edu SUMMARY:HPC@UCLA: Batch Job Submission on H2C (the Hoffman2 Cluster) DESCRIPTION: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 submit jobs\, how to request resources and how to take advantage of very many CPU and GPU cores on the Hoffman2 Cluster. URL:https://idre.ucla.edu/calendar-event/__trashed-5 CATEGORIES:Training workshop / Tutorial END:VEVENT END:VCALENDAR