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:20241106T110000 DTEND;TZID=America/Los_Angeles:20241106T120000 DTSTAMP:20260404T003225 CREATED:20250213T085309Z LAST-MODIFIED:20250213T090225Z UID:25452-1730890800-1730894400@idre.ucla.edu SUMMARY:HPC@UCLA: Jupyter Notebooks/JupyterLan on H2C (the Hoffman2 Cluster) DESCRIPTION:Jupyter Notebook and JupyterLab are a powerful tool for interactive computing and for proof of concept implementations. Come and learn how to open jupyter sessions on your local browser while harnessing the computing power on the Hoffman2 Cluster. Work in a conda/python environment\, in R\, julia or many other programming languages. URL:https://idre.ucla.edu/calendar-event/__trashed-15 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241108T100000 DTEND;TZID=America/Los_Angeles:20241108T120000 DTSTAMP:20260404T003225 CREATED:20230908T164914Z LAST-MODIFIED:20240820T173625Z UID:24251-1731060000-1731067200@idre.ucla.edu SUMMARY:Hoffman2 Happy Hours: Running Jupyter Notebooks on the Hoffman2 Cluster DESCRIPTION:How to connect to the Hoffman2 Cluster via Jupyter / how to run python\, R\, Julia\, bash\, etc. notebooks / creating interactive presentations / running jupyter notebooks in python or anaconda environments \n  \nQuestions about this workshop can be directed to Raffaella D’Auria (dauria@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJYvdOuuqz8uH9BM1CVoJkPjIOJ5Kiim5qBq  URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hours-running-jupyter-notebooks-on-the-hoffman2-cluster LOCATION:Zoom CATEGORIES:Education and Training,Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241108T110000 DTEND;TZID=America/Los_Angeles:20241108T120000 DTSTAMP:20260404T003225 CREATED:20250213T085309Z LAST-MODIFIED:20250213T090424Z UID:25453-1731063600-1731067200@idre.ucla.edu SUMMARY:Research Study Design Considerations for Mobile Technology DESCRIPTION:Study designs that includes mobile apps requires planning\, forethought\, and awareness of the data needed to achieve your grantÕs Òspecific aimsÓ. Mobile devices are near ubiquitous but if you are building one into your study you will need to consider several laws (Common Rule\, HIPAA\, 21 CFR) and regulatory bodies that govern some aspects of use (FTC\, FDA and some state privacy laws). Privacy concerns with mobile devices also need to be carefully thought through. For example\, if data is automatically geo-tagged (most images are) and collected\, this needs to be disclosed in your consent process. Join this session to go over key points to consider as you plan your next mobile device enhanced study. URL:https://idre.ucla.edu/calendar-event/__trashed-14 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241112T100000 DTEND;TZID=America/Los_Angeles:20241112T120000 DTSTAMP:20260404T003225 CREATED:20250213T094354Z LAST-MODIFIED:20250213T094354Z UID:25552-1731405600-1731412800@idre.ucla.edu SUMMARY:Amazon Generative AI & Machine Learning Workshop DESCRIPTION:Join us for first of a series of AWS AIML Workshops led by experienced Senior Solution Architects from Amazon Web Services(AWS). This series is designed to elevate your cloud computing skills. We’ll explore key AWS technologies shaping the future of cloud computing. You’ll gain hands-on experience with fundamental tools needed to build scalable AI in the cloud\, from foundational concepts to cutting-edge services. \nThis 2-3 hour workshop is designed for beginners eager to explore cloud computing\, offering a progression from AWS fundamentals to advanced topics. It provides a solid foundation and practical understanding of AWS capabilities\, requiring no prior experience. \nSession 1: Introduction to AWS Generative AI services Agenda: \n\nIntroduction to AWS Generative AI Services – 30mins\nIntroduction to PartyRock – 5 mins\nLabs: Party Rock – Generate an App & Content summarizer app – 20 mins\nIntroduction to Amazon Bedrock – 10 mins\nLabs: Bedrock Foundational Concepts – 40 – 60mins\n\nRegister by November 8\, 2024. URL:https://idre.ucla.edu/calendar-event/amazon-generative-ai-machine-learning-workshop LOCATION:Zoom END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241113T080000 DTEND;TZID=America/Los_Angeles:20241113T140000 DTSTAMP:20260404T003225 CREATED:20250213T094241Z LAST-MODIFIED:20250213T094241Z UID:25549-1731484800-1731506400@idre.ucla.edu SUMMARY:GPU Programming Using OpenACC DESCRIPTION:The Office of Advanced Research Computing (OARC)  is pleased to be one of the remote sites for the Pittsburgh Supercomputing Center (PSC) workshop on Using GPUs with OpenACC on November 13\, 2024. \nOpenACC is the accepted standard that uses compiler directives to allow quick development of GPU-capable codes using standard languages and compilers. It has successfully accelerated real applications within very short development periods. This workshop assumes knowledge of either C or Fortran programming. Hands-on exercises using the Bridges-2 computing platform at the Pittsburgh Supercomputing Center are included to give attendees practice with the concepts presented. \nThis event will be presented virtually from PSC with onsite attendance at OARC. Staff will be available to assist attendees with hands-on exercises and provide technical support. \n**This will be an IN-PERSON event hosted by OARC\, and there WILL NOT be a direct-to-desktop option for this event.** \nRegistration and agenda: Please see the link for registration details and the workshop agenda. URL:https://idre.ucla.edu/calendar-event/gpu-programming-using-openacc END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241113T130000 DTEND;TZID=America/Los_Angeles:20241113T150000 DTSTAMP:20260404T003225 CREATED:20250213T085308Z LAST-MODIFIED:20250213T090424Z UID:25454-1731502800-1731510000@idre.ucla.edu SUMMARY:Introduction to Version Control with Git\, Part 1 DESCRIPTION:As a computational researcher\, it can be essential to know how to use version control in order to run other peopleÕs code or to develop code as part of a multi-person development team. Git is one software tool for version control that helps users manage software and software changes over time. This workshop will introduce users to the fundamental concepts of version control and how to use Git on the command line. URL:https://idre.ucla.edu/calendar-event/__trashed-13 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241114T100000 DTEND;TZID=America/Los_Angeles:20241114T120000 DTSTAMP:20260404T003225 CREATED:20250213T085308Z LAST-MODIFIED:20250213T090425Z UID:25456-1731578400-1731585600@idre.ucla.edu SUMMARY:Learning Neural Network DESCRIPTION:Neural networks are the “beating heart” of modern LLM-based AI systems\, driving everything from image recognition to natural language processing. In this 2-hour lecture\, we’ll explore the foundational concepts of neural networks and their pivotal role in deep learning projects. This session is designed to be accessible to all\, with a focus on intuitive explanations rather than complex mathematics or coding. No prerequisites are required\, though a basic understanding of calculus and linear algebra will be beneficial for grasping the finer details. URL:https://idre.ucla.edu/calendar-event/__trashed-12 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241114T130000 DTEND;TZID=America/Los_Angeles:20241114T140000 DTSTAMP:20260404T003225 CREATED:20250213T085307Z LAST-MODIFIED:20250213T090424Z UID:25455-1731589200-1731592800@idre.ucla.edu SUMMARY:Planning for Accessibility in your Research Proposals DESCRIPTION:As you plan and budget for your research studies\, keep in mind that making your research findings accessible should be a forethought and not an afterthought. If you are going to create a website\, you need to keep this in mind. Keep in mind ADA compliance reporting requirements. Strategic Outcomes: – Increased inclusivity in UCLAÕs community engaged research programs. Digital research instruments and protocols should be proactively Òborn accessibleÓ so as to not need remediation after the fact. Gartner predicts savings of around $100K per project. URL:https://idre.ucla.edu/calendar-event/__trashed-11 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241118T130000 DTEND;TZID=America/Los_Angeles:20241118T160000 DTSTAMP:20260404T003225 CREATED:20250213T085306Z LAST-MODIFIED:20250213T090425Z UID:25457-1731934800-1731945600@idre.ucla.edu SUMMARY:Introduction to SPSS DESCRIPTION:SPSS is a very easy-to-use statistical package that runs on Windows\, Macintosh and UNIX platforms. This class is designed for people who are just starting to use SPSS. The students in the class will have a hands-on experience using SPSS for doing statistics\, graphics\, and data management. The class notes are the scripts for the class. The SPSS class notes do not contain any of the computer output. The class notes are not meant to be an SPSS textbook or a reference manual. However\, it is possible for individuals to use the class notes to help them learn SPSS even if they donÕt enroll in the class. URL:https://idre.ucla.edu/calendar-event/__trashed-9 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241120T110000 DTEND;TZID=America/Los_Angeles:20241120T120000 DTSTAMP:20260404T003225 CREATED:20250213T085306Z LAST-MODIFIED:20250213T090450Z UID:25458-1732100400-1732104000@idre.ucla.edu SUMMARY:HPC@UCLA: Interactive Computing on H2C (the Hoffman2 Cluster) DESCRIPTION:Learn how to perform interactive computing on the Hoffman2 Cluster. From requesting the computational resources needed for your interactive session to loading and starting TUI and GUI applications. URL:https://idre.ucla.edu/calendar-event/__trashed-8 CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241120T130000 DTEND;TZID=America/Los_Angeles:20241120T150000 DTSTAMP:20260404T003225 CREATED:20250213T085305Z LAST-MODIFIED:20250213T090451Z UID:25459-1732107600-1732114800@idre.ucla.edu SUMMARY:Introduction to Version Control with Git\, Part 2 DESCRIPTION:GitHub is a web-based platform for software projects using Git. This workshop will continue the Git introduction by focusing on how to use the features of GitHub for accessing\, managing\, and collaborating on software. We will also extend the discussion of Git fundamentals to include more advanced topics such as merge conflicts and branches. URL:https://idre.ucla.edu/calendar-event/__trashed-7 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241202T130000 DTEND;TZID=America/Los_Angeles:20241202T160000 DTSTAMP:20260404T003225 CREATED:20250213T085304Z LAST-MODIFIED:20250213T090451Z UID:25460-1733144400-1733155200@idre.ucla.edu SUMMARY:Effect size measures for linear multilevel models in R DESCRIPTION: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 R-Squared Measures. This workshop discusses the concepts of within-cluster and between-cluster variance in multilevel models\, and how these new R-squared measures quantify how the components of the model explain some proportion of these variances. We will also discuss how to use their R package\, r2mlm\, to estimate these R-squared effect sizes and the interpretation of the output and graphs. Some background in both multilevel models and R is assumed for this workshop. URL:https://idre.ucla.edu/calendar-event/__trashed-6 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241204T110000 DTEND;TZID=America/Los_Angeles:20241204T120000 DTSTAMP:20260404T003225 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 BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241206T110000 DTEND;TZID=America/Los_Angeles:20241206T120000 DTSTAMP:20260404T003225 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 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20241206T130000 DTEND;TZID=America/Los_Angeles:20241206T140000 DTSTAMP:20260404T003225 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:20241210T080000 DTEND;TZID=America/Los_Angeles:20241211T140000 DTSTAMP:20260404T003225 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:20241213T110000 DTEND;TZID=America/Los_Angeles:20241213T120000 DTSTAMP:20260404T003225 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 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250110T110000 DTEND;TZID=America/Los_Angeles:20250110T120000 DTSTAMP:20260404T003225 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 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250116T130000 DTEND;TZID=America/Los_Angeles:20250116T150000 DTSTAMP:20260404T003225 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 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250122T113000 DTEND;TZID=America/Los_Angeles:20250122T123000 DTSTAMP:20260404T003225 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 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250123T130000 DTEND;TZID=America/Los_Angeles:20250123T150000 DTSTAMP:20260404T003225 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 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250129T113000 DTEND;TZID=America/Los_Angeles:20250129T123000 DTSTAMP:20260404T003225 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 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250131T110000 DTEND;TZID=America/Los_Angeles:20250131T120000 DTSTAMP:20260404T003225 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 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250131T113000 DTEND;TZID=America/Los_Angeles:20250131T123000 DTSTAMP:20260404T003225 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 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250131T113000 DTEND;TZID=America/Los_Angeles:20250131T123000 DTSTAMP:20260404T003225 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:20250204T100000 DTEND;TZID=America/Los_Angeles:20250204T120000 DTSTAMP:20260404T003225 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 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250207T110000 DTEND;TZID=America/Los_Angeles:20250207T120000 DTSTAMP:20260404T003225 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 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250210T100000 DTEND;TZID=America/Los_Angeles:20250210T120000 DTSTAMP:20260404T003225 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 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250210T130000 DTEND;TZID=America/Los_Angeles:20250210T160000 DTSTAMP:20260404T003225 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 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Los_Angeles:20250219T113000 DTEND;TZID=America/Los_Angeles:20250219T123000 DTSTAMP:20260404T003225 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 LOCATION:Zoom CATEGORIES:Training workshop / Tutorial END:VEVENT END:VCALENDAR