BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Institute for Digital Research and Education - ECPv6.16.4//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
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:20220313T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20221106T090000
END:STANDARD
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
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240308T110000
DTEND;TZID=America/Los_Angeles:20240308T143000
DTSTAMP:20260619T074620
CREATED:20240216T212407Z
LAST-MODIFIED:20240401T195759Z
UID:24733-1709895600-1709908200@idre.ucla.edu
SUMMARY:Using Topological Data Analysis to characterize fluctuations in brain activity patterns in healthy and patient populations
DESCRIPTION:Link to the recording:  https://youtu.be/CxpGAIjidvQ \n  \n  \nSpeaker: Prof. Manish Sagger\nTashia and John Morgridge Endowed Faculty Scholar in Pediatric Translational Medicine\, Stanford Maternal & Child Health Research Institute\nAssistant Professor\, Department of Psychiatry & Behavioral Sciences\nPrincipal Investigator\, Brain Dynamics Lab\nStanford University School of Medicine  \n  \nAbstract: Understanding the neurobiological underpinnings of psychiatric disorders has long been a challenge. This talk addresses this issue by exploring how noninvasive neuroimaging\, despite its inherent limitations\, can be leveraged to anchor psychiatric disorders into neurobiology. Two main challenges in this endeavor are identified: (a) the inherent noise in noninvasive neuroimaging devices and (b) the limited utilization of biophysical models. To tackle the first challenge\, we propose the application of Topological Data Analysis (TDA)\, specifically Mapper\, as a novel approach. I present some promising results on how Mapper can capture evoked transitions during tasks\, intrinsic transitions during resting states\, changes in the landscape or shape associated with psychiatric disorders\, and various pharmacological interventions and neuromodulation techniques. I will highlight a few methodological advances for Mapper that could enhance its applicability in noninvasive neuroimaging studies. Finally\, the talk concludes by posing open questions to understand the neurobiological basis of psychiatric disorders better and pave the way for innovative therapeutic strategies. \nDemo talk title: A short tutorial on Topological Data Analysis based Mapper approach \nAbstract: In this tutorial\, I will introduce and provide a high-level overview of Topological Data Analysis\, mainly the Mapper approach. The hands-on portion of this tutorial will include a brief introduction to the DyNeuSR package from my lab (more information here – https://braindynamicslab.github.io/dyneusr/). DyNeuSR is a Python visualization library for topological representations of neuroimaging data. Developed with neuroimaging data analysis in mind\, DyNeuSR connects existing implementations of Mapper (e.g. KeplerMapper) with network analysis tools (e.g. NetworkX) and other neuroimaging data visualization libraries (e.g. Nilearn) and provides a high-level interface for interacting with and manipulating shape graph representations of neuroimaging data and relating these representations to neurophysiology. \nAbout the presenter: Manish Saggar is an assistant professor in the Psychiatry & Behavioral Sciences department at Stanford University and currently directs the Brain Dynamics Lab. His lab aims to develop computational methods for anchoring psychiatric diagnosis into biological features (e.g.\, neural circuits and spatiotemporal neurodynamics). Manish received his Ph.D. in Computer Science from the University of Texas at Austin and later received postdoctoral training in Psychiatry from Stanford University.
URL:https://idre.ucla.edu/calendar-event/topological-data-analysis-march-8-2024
CATEGORIES:Classes and Workshops,Conferences and Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240307T090000
DTEND;TZID=America/Los_Angeles:20240307T163000
DTSTAMP:20260619T074620
CREATED:20240305T063602Z
LAST-MODIFIED:20240305T063602Z
UID:24830-1709802000-1709829000@idre.ucla.edu
SUMMARY:Building a Database of Recorded Music Data for Analysis\, Research\, and Access - Developing the Database of Recorded Jewish Music (DRJM)
DESCRIPTION:Agenda: \n\n\n\n9:00 – 10:30 \nAddressing the Archive: Current State of Jewish Music Archives in the U.S \nTodd Presner\, UCLA: Chair and Opening Remarks \nJudy Pinnolis\, Berklee: An Overview of Academic Issues in Jewish Music Sound Recording Collections \nLorin Sklamberg\, YIVO Institute: Issues and Challenges Digitizing the YIVO Sound Archives \nSharon Benamou\, UCLA: Acquisitions and Cataloging Considerations in the UCLA Judaica Collectio \n\n\n10:30 – 10:45 \nBreak \n\n\n\n10:45 – 11:30 \nIntroducing the Database of Recorded Jewish Music (DRJM) \nMark Kligman\, UCLA: Project Origins\, Overarching Goals and Questions \nJeff Janeczko\, Milken Archive/UCLA: Pilot Study—Visualizing the Milken Archive \nDanielle Stein\, UCLA: Aggregating the Archives—Tableau as Tool for Research and Analysis \n\n\n11:30 – 12:15 \nPanel Response to the DRJM Introduction \nChair: Thomas Hodgson\, UCLA \nRandall Goldberg\, Cal State Fullerton \nMatthew Vest\, UCLA \nFrancesco Spagnolo\, UC Berkeley \nSam Brylawski\, UC Santa Barbara\, Library of Congress \n\n\n12:15 – 1:15 \nLunch (provided for invited participants) \n\n\n\n1:15 – 3:15 \nHands-on Workshop \nParticipants will create their own Tableau worksheets and dashboards using a predetermined subset of data from the DRJM. \nFacilitated by: Anna Bonazzi\, Jordan Galczynski\, and Wei Si Nic Yiu. \n\n\n3:15 – 3:30 \nBreak \n\n\n\n3:30 – 4:30 \nClosing Remarks and Discussion \nModerator: Sam Brylawski\, UC Santa Barbara\, Library of Congress \nMark Kligman\, UCLA \nJeff Janeczko\, Milken Archive/UCLA \nDanielle Stein\, UCLA 
URL:https://idre.ucla.edu/calendar-event/addressing-archive-03-07-2024
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240304T130000
DTEND;TZID=America/Los_Angeles:20240304T160000
DTSTAMP:20260619T074620
CREATED:20231205T042823Z
LAST-MODIFIED:20231205T043336Z
UID:24553-1709557200-1709568000@idre.ucla.edu
SUMMARY:Zero-inflated and Hurdle models for Count Data in R
DESCRIPTION:This workshop introduces zero-inflated poisson\, zero-inflated negative binomial\, and hurdle models for count data\, which are two-part models used when more zeros are found in the data than expected with typical count distributions. We will discuss the formulations of the two parts of each model\, the interpretation of model parameters\, and how to run these models and analyze zero-inflated count data in R. \nFor questions about this workshop\, please contact Siavash Jalal (sjalal@oarc.ucla.edu).  \nRegister via Zoom
URL:https://idre.ucla.edu/calendar-event/zero-inflated-and-hurdle-models-for-count-data-in-r-3
LOCATION:Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240301T113000
DTEND;TZID=America/Los_Angeles:20240301T123000
DTSTAMP:20260619T074620
CREATED:20240209T203023Z
LAST-MODIFIED:20240302T002639Z
UID:24712-1709292600-1709296200@idre.ucla.edu
SUMMARY:Computational approaches in clinical epigenomics
DESCRIPTION:Speaker: Fei-Man Hsu\, Ph.D.\nIDRE Fellow\nDepartment of Molecular\, Cell\, and Developmental Biology\nUniversity of California Los Angeles \n  \n  \n  \nTime: 11:30 AM – 12:30 PM (PST)\nDate: March 1\, 2024\nView recording: https://youtu.be/RVfoXBN66HU\n\n\n\n\nAbstract: DNA methylation signatures have high predictive value and could be used to predict health outcomes. Challenges remained in clinical studies such as the large population variations and the biopsy with mixed cell types which all contribute to DNA methylation dynamics. In this presentation I will introduce the computational approaches of clinical epigenomics with our recent research that applied targeted bisulfite sequencing (TBS-seq) to peripheral blood mononuclear cells (PBMCs) from 156 individuals before lung or kidney transplant in two medical centers to study the impact of cytomegalovirus (CMV) to the host epigenome. Cell type composition contributes most DNA methylation changes in PBMCs\, and we resolved the mixed cell type issue with a reference-based cell type deconvolution method. Lastly\, I will direct to a reference-free source-of-origin cell type classifier under development. \nAbout the speaker: Dr. Fei-Man Hsu is a postdoctoral fellow at the Pellegrini lab in the Department of Molecular\, Cell\, and Developmental Biology at UCLA. With a Ph.D. from the University of Tokyo\, Dr. Hsu specializes in bioinformatics. She holds a M.S. degree in Molecular and Cellular Biology\, and a B.S. degree in Life Science from National Taiwan University.
URL:https://idre.ucla.edu/calendar-event/idre-ecr-march-1-2024
CATEGORIES:Conferences and Seminars,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240301T110000
DTEND;TZID=America/Los_Angeles:20240301T130000
DTSTAMP:20260619T074620
CREATED:20231204T223027Z
LAST-MODIFIED:20231205T041221Z
UID:24497-1709290800-1709298000@idre.ucla.edu
SUMMARY:Learning ChatGPT: A Deep Technical Dive
DESCRIPTION:Since its launch in November 2022\, ChatGPT has rapidly become one of the most intriguing technological advancements of our time. In the second session of our “Learning ChatGPT” workshop series\, we are set to undertake a deep technical dive into ChatGPT. This session will encompass an in-depth discussion on the transformer architecture\, explore fine-tuning techniques\, examine the developments of ChatGPT-like Large Language Models (LLMs)\, and present scientific application examples utilizing LLMs.\nThis in-person workshop is specifically tailored for an audience keen on understanding the technical intricacies of ChatGPT. It offers a unique opportunity to delve into the subject matter from a broader and more profound perspective. Participants with a basic understanding of machine learning or deep learning will be better positioned to appreciate the nuances and depths of the topics discussed. \nAny questions about this workshop can be emailed to Qiyang Hu (huqy@oarc.ucla.edu). \nRegister via Google
URL:https://idre.ucla.edu/calendar-event/learning-chatgpt-a-deep-technical-dive
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240229T130000
DTEND;TZID=America/Los_Angeles:20240229T143000
DTSTAMP:20260619T074620
CREATED:20231204T223030Z
LAST-MODIFIED:20240108T201535Z
UID:24500-1709211600-1709217000@idre.ucla.edu
SUMMARY:Annotate Digital Imagery: Theory\, Applied Practice\, and Tools for Research
DESCRIPTION:Information systems since the advent of the World Wide Web have offered increasingly sophisticated and reliable tools for inquiry and scholarship based upon centuries-old practices of annotation. What are the connections and tensions between visual and verbal media? How do idiosyncratic readerly practices of scribbling in margins of a book translate into W3C standards for networked multimedia scholarly communication\, and what impacts will community standards development have upon the future of knowledge production (or your career)?\nThis workshop will provide a theoretical introduction to the ancient and still evolving social practice of annotation and situate leading ideas in the concrete tools and practices of digital knowledge production. Taking a 3-tiered approach (simple\, intermediate\, complex)\, it will present several handy tools for immediate and long-term application. \nThis workshop is part of the Research Collections and Digital Scholarship series — a collaboration between the Office of Advanced Research Computing (OARC) and the UCLA Digital Library Program. \nAny questions about this workshop can be emailed to Francesca Albrezzi (falbrezzi@ucla.edu) and Christopher Gilman (cjgilman@library.ucla.edu). \nThis is a hybrid workshop (OARC Portal or Zoom). \nRegister via Google
URL:https://idre.ucla.edu/calendar-event/annotate-digital-imagery-theory-applied-practice-and-tools-for-research
LOCATION:Hybrid: OARC Portal\, Math Sciences 5628 and Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240226T130000
DTEND;TZID=America/Los_Angeles:20240226T160000
DTSTAMP:20260619T074620
CREATED:20231204T222303Z
LAST-MODIFIED:20231205T192202Z
UID:24486-1708952400-1708963200@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. \nAny questions about this workshop can be emailed to Kotrina Kajokaite (kkajokaite@oarc.ucla.edu) and Andy Lin (alin@oarc.ucla.edu). \nRegister via Zoom
URL:https://idre.ucla.edu/calendar-event/introduction-to-linear-regression-in-r
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240223T110000
DTEND;TZID=America/Los_Angeles:20240223T130000
DTSTAMP:20260619T074620
CREATED:20231204T223026Z
LAST-MODIFIED:20231205T041426Z
UID:24496-1708686000-1708693200@idre.ucla.edu
SUMMARY:Learning ChatGPT: An Accessible Introduction
DESCRIPTION:Since its launch in November 2022\, ChatGPT has rapidly become one of the most intriguing technological advancements of our time. In the first session of our “Learning ChatGPT” workshop series\, we will explore the significance and functionalities of ChatGPT. The session aims to provide a comprehensive understanding of what ChatGPT is\, its inherent limitations\, the breadth of its applications across diverse tasks\, and offers practical usage tips\, illustrated through concise demonstrations.\nThis workshop\, conducted in person\, is crafted for a broad general audience and does not require any prior technical knowledge or background. It presents a good opportunity for those curious about the advanced AI technologies\, seeking to comprehend and potentially apply ChatGPT in various domains. \nAny questions about this workshop can be emailed to Qiyang Hu (huqy@oarc.ucla.edu). \nRegister via Google \n 
URL:https://idre.ucla.edu/calendar-event/learning-chatgpt-an-accessible-introduction
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240223T100000
DTEND;TZID=America/Los_Angeles:20240223T120000
DTSTAMP:20260619T074620
CREATED:20231204T223029Z
LAST-MODIFIED:20231205T041444Z
UID:24498-1708682400-1708689600@idre.ucla.edu
SUMMARY:Spatial Humanities and High Performance Computing
DESCRIPTION:As spatial data becomes more plentiful and available\, there are new challenges for accessing it in scholarship. From point clouds with millions of entries to complex elevation maps\, it is becoming increasingly difficult to perform spatial analysis on laptops and personal computers. UCLA’s high performance computing cluster\, Hoffman2\, enables processing and analyzing complex geodata remotely\, securely\, and quickly. \nAre you interested in using UCLA’s Hoffman2 shared computing cluster to perform GIS research? Are you working with a large or complex data set that is too much for your local machine to handle? If so\, this workshop is for you! \nIn this workshop participants will learn how to use free\, open-source spatial tools on the Hoffman2 cluster. Over the course of two hours\, we will cover the following topics:\nCreating and using user accounts on Hoffman2\nUsing typical open-source tools like GDAL on Hoffman2\nUsing Hoffman2 to perform tasks like editing large digital elevation models\, converting spatial data types\, and creating paths through elevation data\, writing and configuring scripts to do spatial analysis\, and working with large and complex data sets using tools like jupyter notebooks on Hoffman2 to visualize the results. \nAny questions about this workshop can be emailed to Ryan Horne (rmhorne@ucla.edu). \nRegister via Zoom
URL:https://idre.ucla.edu/calendar-event/spatial-humanities-and-high-performance-computing
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240216T100000
DTEND;TZID=America/Los_Angeles:20240216T120000
DTSTAMP:20260619T074620
CREATED:20231204T223026Z
LAST-MODIFIED:20231205T192259Z
UID:24495-1708077600-1708084800@idre.ucla.edu
SUMMARY:Cloud Computing Workshops: GCP Cloud Storages
DESCRIPTION:Cloud computing service allows users to access various computing resources such as applications\, servers\, storage\, databases\, networking\, analytics\, and artificial intelligence through the internet. This workshop series aims to offer practical guidance for academic researchers who want to use cloud computing resources. I will cover compute instances\, network\, interactive computing\, storage\, and high-performance computing (HPC) cluster setup on two major cloud providers\, Amazon Web Service (AWS) and Google Cloud Platform (GCP). To prepare for the cloud computing workshop series\, please view the Introduction videos (https://www.youtube.com/@UCLAOARC/videos) in advance. These videos will help you understand the basic concepts and tools of cloud computing. \nAny questions about this workshop can be emailed to Jerry Huang (hyhuang@oarc.ucla.edu). \nRegister via Zoom
URL:https://idre.ucla.edu/calendar-event/cloud-computing-workshops-gcp-cloud-storages
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240209T100000
DTEND;TZID=America/Los_Angeles:20240209T120000
DTSTAMP:20260619T074620
CREATED:20231204T223025Z
LAST-MODIFIED:20231205T041337Z
UID:24494-1707472800-1707480000@idre.ucla.edu
SUMMARY:Cloud Computing Workshops: GCP Compute Engine
DESCRIPTION:Cloud computing service allows users to access various computing resources such as applications\, servers\, storage\, databases\, networking\, analytics\, and artificial intelligence through the internet. This workshop series aims to offer practical guidance for academic researchers who want to use cloud computing resources. I will cover compute instances\, network\, interactive computing\, storage\, and high-performance computing (HPC) cluster setup on two major cloud providers\, Amazon Web Service (AWS) and Google Cloud Platform (GCP). To prepare for the cloud computing workshop series\, please view the Introduction videos (https://www.youtube.com/@UCLAOARC/videos) in advance. These videos will help you understand the basic concepts and tools of cloud computing. \nAny questions about this workshop can be emailed to Jerry Huang (hyhuang@oarc.ucla.edu). \nRegister via Zoom \n 
URL:https://idre.ucla.edu/calendar-event/cloud-computing-workshops-gcp-compute-engine
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240208T130000
DTEND;TZID=America/Los_Angeles:20240208T143000
DTSTAMP:20260619T074620
CREATED:20231204T223030Z
LAST-MODIFIED:20231205T041030Z
UID:24499-1707397200-1707402600@idre.ucla.edu
SUMMARY:Contextualizing Collections: Introduction to Immersive Annotated 360 Virtual Tours with Adobe Captivate
DESCRIPTION:Most would agree that in terms of creating virtual experiences as part of research\, more context is better. Contextual information allows for a bigger picture to be seen and can provide in situ understanding\, despite being remote. With the proliferation of 360 cameras\, creating immersive virtual tours has become more commonplace. Whether it is to document the layout of a hydroelectric power plant\, provide archival information about historical relics\, such as the HMAS OVENS submarine\, or share information regarding a cultural heritage site\, such as Google Arts and Culture’s Street View tours\, immersive 360 capture with annotations has become a strong visual research method and product.\nIn addition\, many fields of research look to present information or scenarios and then survey a sample of participants regarding their experience. Interactive surveys or modules can provide valuable research data for any number of disciplines. \nIn this workshop\, participants will be introduced to Adobe Captivate\, a software for building e-learning interactives and annotated 360 virtual tours. Focusing on examples that bridge UCAL’s Biomedical Library space and digital collections\, participants will learn how to build a virtual tour with 360 images and video. They will also learn how to annotate their tours with collections materials and how to build some of the platforms various interactive activities\, which include: \nMultiple choice\nTrue/False\nFill-in-the-blank\nShort Answer\nMatching\nHot Spot\nSequence\nRating scale\nRandom question \nNo prior experience with Adobe products will be needed. However\, this product is not part of the Adobe Creative Cloud Suite. If participants want to follow along during the workshop\, they will need to purchase and download Adobe Captivate before the workshop. \nThis workshop is part of the Research Collections and Digital Scholarship series — a collaboration between the Office of Advanced Research Computing (OARC) and the UCLA Digital Library Program. \nAny questions about this workshop can be emailed to Francesca Albrezzi (falbrezzi@ucla.edu) and Christopher Gilman (cjgilman@library.ucla.edu). \nThis is a hybrid workshop (OARC Portal or Zoom). \nRegister via Google \n 
URL:https://idre.ucla.edu/calendar-event/contextualizing-collections-introduction-to-immersive-annotated-360-virtual-tours-with-adobe-captivate
LOCATION:Hybrid: OARC Portal\, Math Sciences 5628 and Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20240126T113000
DTEND;TZID=America/Los_Angeles:20240126T123000
DTSTAMP:20260619T074620
CREATED:20240109T204343Z
LAST-MODIFIED:20240213T051136Z
UID:24634-1706268600-1706272200@idre.ucla.edu
SUMMARY:Data-driven prediction of vortex dynamics with hierarchical graph neural networks
DESCRIPTION:Alec Linot \n  \nSpeaker: Alec Linot\, Ph.D.\nIDRE Fellow\nMechanical and Aerospace Engineering\nUniversity of California Los Angeles \n  \n  \nLocation: Zoom (Registration required)\n \nTime: 11:30 AM – 12:30 PM (PST)\nVideo Link: https://youtu.be/E8f2lrHMOa8 \n  \nAbstract: Forecasting the dynamics of fluid flows plays a crucial role in our understanding of processes such as the swimming of fish\, turbulence on a plane\, and hurricane formation. Unfortunately\, simulating these systems can be prohibitively expensive even though we often know the equations of motion. Due to this high computational cost\, major effort has gone toward developing reduced-order models (ROMs) of fluid flows both from first principles and in a data-driven manner. Various ROMs using Galerkin methods and neural networks\, for example\, have been shown to accurately predict the dynamics of fluid systems with far fewer degrees of freedom than needed in high-resolution simulations. However\, these ROMs typically apply to very specific systems with a fixed state size (e.g. grid size or latent space size). In this work\, we present a data-driven ROM method for discovering vortex dynamics that overcomes the challenge of a fixed state size by using a hierarchy of graph neural networks (GNNs). This method allows us to consider a fluid flow as a graph of the vortices within a flow. Then\, by grouping clusters of vortices\, we construct a hierarchy of graphs with which we train GNNs to predict vortex dynamics. Notably\, this hierarchal approach mirrors our intuition on how groups of vortices often cluster to act as a cohesive unit. We show that this hierarchical method is both more accurate and faster than constructing a fully connected GNN\, and we show that this approach allows us to predict vortex dynamics with state sizes (i.e. the number of vortices) outside of our training data. \nAbout the speaker: Dr. Alec Linot is a postdoctoral researcher with Prof. Kunihiko (Sam) Taira in the Mechanical and Aerospace Engineering Department at UCLA. He received a BS in Chemical Engineering from Kansas State University. His Ph.D is in Chemical and Biological Engineering from the University of Wisconsin – Madison. In his Ph.D.\, he developed machine learning techniques for modeling and controlling turbulent flows. His current research is in modeling\, control\, and stability of chaotic dynamical systems. Chaotic dynamical systems are deterministic systems where small perturbations to the system result in dramatically different dynamics over time.
URL:https://idre.ucla.edu/calendar-event/idre-fellow-jan26-2024
CATEGORIES:Conferences and Seminars,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231207T100000
DTEND;TZID=America/Los_Angeles:20231207T110000
DTSTAMP:20260619T074620
CREATED:20231114T050247Z
LAST-MODIFIED:20231114T153407Z
UID:24428-1701943200-1701946800@idre.ucla.edu
SUMMARY:How Can One Use Machine Learning and High Performance Computing for Humanities Research?
DESCRIPTION:The application of machine learning (ML) and high performance computing (HPC) to humanities research\nholds tremendous potential\, but there are significant challenges to developing a community of experts that\ncan work together at this intersection of topic and technique. HPC experts may not have the background\nnecessary to appreciate how their tools can best be brought to bear on the diverse datasets and conceptual\napproaches of humanities researchers\, and humanities researchers may not have the well-honed\nbackground in computational and statistical modeling that resides with ML or HPC specialists. We will\napproach this topic by focusing on a few case studies in the humanities that illustrate how ML and HPC can\nboth be used to powerful effect\, whether by streamlining the initial processing of massive data\, modeling\nand visualizing humanities-relevant datasets\, or using deep learning frameworks and the speed and power of\nGPUs to rapidly prototype predictive models.
URL:https://idre.ucla.edu/calendar-event/how-can-one-use-machine-learning-and-high-performance-computing-for-humanities-research
CATEGORIES:Classes and Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231206T100000
DTEND;TZID=America/Los_Angeles:20231206T120000
DTSTAMP:20260619T074620
CREATED:20230908T164917Z
LAST-MODIFIED:20230908T173849Z
UID:24257-1701856800-1701864000@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hours: Running array jobs on the Hoffman2 Cluster / Running jobs on GPU nodes
DESCRIPTION:Array jobs are a special class of batch jobs that use one submission script to execute multiple tasks\, this is one of the most efficient ways of harnessing the computing capability of the Hoffman2 Cluster to get your work done expeditiously. Can your workflow be adapted to run in this fashion? Bring your problem / The Hoffman2 Cluster number of GPU nodes is growing\, how to run on these nodes and what they can do for you. \n  \nAny questions about this workshop can be emailed to Raffaella D’Auria (dauria@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJYsd-qpqTkpHNdZ6M8xesWm6tpmIhnrbFmj
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hours-running-array-jobs-on-the-hoffman2-cluster-running-jobs-on-gpu-nodes
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231201T113000
DTEND;TZID=America/Los_Angeles:20231201T123000
DTSTAMP:20260619T074620
CREATED:20231120T194651Z
LAST-MODIFIED:20231202T062938Z
UID:24445-1701430200-1701433800@idre.ucla.edu
SUMMARY:Panel Discussion on Harnessing High-performance Computing across STEM Disciplines
DESCRIPTION:Venue: Virtual via zoom\nRecording is available at: https://youtu.be/Nq8CkX20xjM \nThe IDRE Early Career Researchers group is pleased to announce a discussion on harnessing high-performance computing across STEM disciplines. The panel will be led by the following new cohort of IDRE fellows (2023-2024) from various disciplines across the UCLA campus. \n\nRobert Fofrich – Institute of the Environment and Sustainability\nFei-man Hsu – Department of Molecular\, Cell\, and Development Biology\nAlec Linot – Mechanical and Aerospace Engineering\nXiao Luo – Department of Computer Science\nNamjoon Suh – Department of Statistics and Data Science\n\nJoin us for the discussion on how high-performance computing (HPC) is used across STEM disciplines. We will explore how HPC revolutionizes research methodologies and allows for the analysis of very large datasets\, fueling innovation in fields ranging from geoscience to engineering. The panel will also be discussing applications across STEM disciplines and how to harness the power of HPC in your research.
URL:https://idre.ucla.edu/calendar-event/ecr-panel-discussion-dec-1-23
LOCATION:Virtual
CATEGORIES:Conferences and Seminars,Meetings
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231129T113000
DTEND;TZID=America/Los_Angeles:20231129T130000
DTSTAMP:20260619T074620
CREATED:20230908T164917Z
LAST-MODIFIED:20230908T173904Z
UID:24256-1701257400-1701262800@idre.ucla.edu
SUMMARY:Harnessing the Power of HPC for Machine Learning: Tools and Techniques
DESCRIPTION:In this engaging workshop\, explore the symbiotic relationship between Machine Learning (ML) and High-Performance Computing (HPC)\, a collaboration that stands at the forefront of modern computational advancements. Participants will gain hands-on experience utilizing powerful HPC tools and libraries to accelerate ML model training and inference\, fostering innovations in fields such as bioinformatics\, climate science\, and financial analytics. Tailored for data scientists\, ML engineers\, researchers\, and students keen on mastering the art of parallel computing\, this workshop will be a nexus where data meets speed and precision. With a foundation in Python and/or R programming and basic ML concepts\, attendees will emerge well-equipped to harness the computational prowess of HPC environments for tackling complex\, data-intensive problems\, setting a new benchmark in scientific and business analytics. \nQuestions about this workshop can be sent to Charles Peterson (cpeterson@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJMlfuGuqTsjGNJqgmYo4O1-xES91X3vZH_l
URL:https://idre.ucla.edu/calendar-event/harnessing-the-power-of-hpc-for-machine-learning-tools-and-techniques
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231122T100000
DTEND;TZID=America/Los_Angeles:20231122T120000
DTSTAMP:20260619T074620
CREATED:20230908T164916Z
LAST-MODIFIED:20230908T173923Z
UID:24255-1700647200-1700654400@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hours: Running interactive and batch jobs on the Hoffman2 Cluster
DESCRIPTION:Requesting interactive sessions / loading and starting interactive applications /interactive versus non interactive (batch) jobs / submitting batch jobs to the scheduler / Running: serial – multithreaded – parallel jobs \nQuestions about this workshop can be set to Raffaella D’Auria (dauria@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJ0odeiqrT4iG9IgPYD5lWz2M–zpMGi_jw8
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hours-running-interactive-and-batch-jobs-on-the-hoffman2-cluster
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231120T130000
DTEND;TZID=America/Los_Angeles:20231120T130000
DTSTAMP:20260619T074620
CREATED:20230915T011740Z
LAST-MODIFIED:20230926T211155Z
UID:24307-1700485200-1700485200@idre.ucla.edu
SUMMARY:Introduction to SAS
DESCRIPTION:This workshop introduces the statistical software SAS\, with a focus on basic commands for importing data\, data management\, data visualization and simple statistical analysis. This workshop is aimed at new and infrequent SAS users. \nQuestions about this workshop can be sent to Siavash Jalal (sjalal@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJMvde-trjsuH9avhgE4S3CcW6iYxc58ELxK
URL:https://idre.ucla.edu/calendar-event/introduction-to-sas-6
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231117T090000
DTEND;TZID=America/Los_Angeles:20231117T110000
DTSTAMP:20260619T074620
CREATED:20230908T164916Z
LAST-MODIFIED:20230908T173937Z
UID:24254-1700211600-1700218800@idre.ucla.edu
SUMMARY:Introduction to Shell Scripting
DESCRIPTION:Shell scripts enable users to link together multiple Linux commands into a single executable program. They can save users from a lot of wasted time\, effort\, and headache. For example\, many researchers execute many different steps and run several different programs during their process of transforming raw data into analyzable results and ultimately into polished data products that can be published. This process can be tedious and error-prone\, and sometimes it’s not easy to reproduce. With shell scripts\, you can automate the execution of lengthy and repetitive tasks and store commonly executed commands for repeated use. This workshop will be an interactive introduction to shell scripting and help you to learn the fundamentals necessary to advance as an effective user of the Linux shell. Basic knowledge of using the command line will be assumed. \nQuestions about this workshop can be sent to Ben Winjum (bwinjum@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJIpd-CqqzgiE9JnVZw8KV0XIu_ihniE9lKq
URL:https://idre.ucla.edu/calendar-event/introduction-to-shell-scripting
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231116T123000
DTEND;TZID=America/Los_Angeles:20231116T143000
DTSTAMP:20260619T074620
CREATED:20230908T164915Z
LAST-MODIFIED:20230908T173955Z
UID:24253-1700137800-1700145000@idre.ucla.edu
SUMMARY:Creating GIS Route Networks with pgRouting and the Hoffman2 Shared Computing Cluster
DESCRIPTION:Are you interested in making maps that show connections between places? Do you want to find the quickest or easiest way to get between two points? Do you want to discover potential pathways through elevation changes? Are you interested in using UCLA’s Hoffman2 shared computing cluster to perform GIS research? Are you working with a large or complex data set that is too much for your local machine to handle? If so\, this workshop is for you!\nIn this workshop participants will learn how to create and analyze spatial networks with free\, open-source tools. In addition to using these tools on their own computers\, participants will learn about the capabilities of the Hoffman2 cluster to perform advanced and computationally demanding GIS work. \nOver the course of two hours we will cover the following topics: \n\nInstalling and using PostgreSQL\, PostGIS\, and pgRouting\nUsing existing GIS materials\, pgRouting\, and Python to create a spatial network\nUse the Hoffman2 cluster to create least-cost-pathing on any digital elevation map which can then be used to create spatial networks\n\nQuestions about this workshop can be directed to Ryan Horne (rmhorne@ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJcqdOmvrzIuHNKdawpl0VU7FjJ3QZ4FhiDg \n 
URL:https://idre.ucla.edu/calendar-event/creating-gis-route-networks-with-pgrouting-and-the-hoffman2-shared-computing-cluster
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231115T153000
DTEND;TZID=America/Los_Angeles:20231115T163000
DTSTAMP:20260619T074620
CREATED:20231113T232027Z
LAST-MODIFIED:20231114T153435Z
UID:24425-1700062200-1700065800@idre.ucla.edu
SUMMARY:Using the Hoffman2 Cluster to Investigate Linguistic History
DESCRIPTION:This presentation will offer illustrations from current research to demonstrate how the Hoffman2 Cluster\ncan be used to do research for linguistic history.
URL:https://idre.ucla.edu/calendar-event/using-the-hoffman2-cluster-to-investigate-linguistic-history
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231113T130000
DTEND;TZID=America/Los_Angeles:20231113T130000
DTSTAMP:20260619T074620
CREATED:20230915T011739Z
LAST-MODIFIED:20230926T211001Z
UID:24306-1699880400-1699880400@idre.ucla.edu
SUMMARY:Introduction to SPSS
DESCRIPTION:This workshop introduces the statistical software SPSS\, with a focus on basic commands for importing data\, data management\, data visualization and simple statistical analysis through its point-and-click interface and some syntax. This workshop is aimed at new and infrequent SPSS users. \nQuestions about this workshop can be sent to Christine Wells (crwells@ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJMucuuuqT0uGdYllDjxpcquo3d-4lgCYZN6
URL:https://idre.ucla.edu/calendar-event/introduction-to-spss-8
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231109T130000
DTEND;TZID=America/Los_Angeles:20231109T130000
DTSTAMP:20260619T074620
CREATED:20230922T225425Z
LAST-MODIFIED:20230922T225425Z
UID:24336-1699534800-1699534800@idre.ucla.edu
SUMMARY:“My Home Sank Quietly”: Tuvalu\, Maps\, Documentary Film\, and Climate Change
DESCRIPTION:Join us in the YRL Conference Room for a screening of the 2017 short experimental documentary “.TV” followed by a group discussion. We will discuss the small South Pacific island nation of Tuvalu\, its web domain .tv\, and climate change. Some guiding questions for our discussion include: What does it mean to map a nation whose borders are constantly shifting and shrinking due to climate change?\nHow can we use maps to support climate justice efforts?\nWhat does the global prioritization of digital spaces over combatting the loss of entire physical nations to climate change mean for our future?\nHow does the medium of information impact how we think about climate change? What differs between written text\, maps\, and documentary film?\nHow do we battle climate change despair? \nThere will be English language subtitles for the screening.\nCover image credit to the Tuvalu Foreign Ministry.
URL:https://idre.ucla.edu/calendar-event/my-home-sank-quietly-tuvalu-maps-documentary-film-and-climate-change
ORGANIZER;CN="UCLA Library":MAILTO:yrl-circ@library.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231109T090000
DTEND;TZID=America/Los_Angeles:20231109T110000
DTSTAMP:20260619T074620
CREATED:20230908T164914Z
LAST-MODIFIED:20230908T174016Z
UID:24252-1699520400-1699527600@idre.ucla.edu
SUMMARY:Introduction to the Command Line Interface
DESCRIPTION:The most widely used way to interact with computers is through a graphical user interface\, for example\, the desktop interface of Microsoft Windows or Mac OS. However\, you can also use a text interface to interact with your computer (or with a computing system like Hoffman2). This can variously be referred to as the command line\, terminal\, shell\, console\, or prompt\, and while it may appear complex at first sight\, it offers a lot of power and flexibility for telling the computer what to do. This workshop will introduce you to the command line and walk you through a variety of fundamental concepts and commands. The command line is available in many operating systems\, though here we’ll use Linux. No prior knowledge is assumed. By the end\, you will hopefully be much more comfortable when you have to use the command line. \nQuestions about this workshop can be directed to Ben Winjum (bwinjum@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJEude-grjMrEtOEF3sHhGRolCryk4suE8s8.
URL:https://idre.ucla.edu/calendar-event/introduction-to-the-command-line-interface
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231106T130000
DTEND;TZID=America/Los_Angeles:20231106T130000
DTSTAMP:20260619T074620
CREATED:20230915T011739Z
LAST-MODIFIED:20230926T210649Z
UID:24305-1699275600-1699275600@idre.ucla.edu
SUMMARY:Introduction to Stata
DESCRIPTION:This workshop introduces the statistical software Stata\, with a focus on basic commands for importing data\, data management\, data visualization and simple statistical analysis. This workshop is aimed at new and infrequent Stata users. \nQuestions about this workshop can be sent to Andy Lin (alin@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJcrdeitrzIuEtCZs8DNZ6Nax_PGpA29gSRV \n 
URL:https://idre.ucla.edu/calendar-event/introduction-to-stata-7
CATEGORIES:Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231103T100000
DTEND;TZID=America/Los_Angeles:20231103T120000
DTSTAMP:20260619T074620
CREATED:20230908T164913Z
LAST-MODIFIED:20230908T174057Z
UID:24250-1699005600-1699012800@idre.ucla.edu
SUMMARY:Learning ChatGPT -- Its Past\, Present\, and Future
DESCRIPTION:Ever since its debut in November 2022\, ChatGPT has become one of the most intriguing technological advancements of our time. Particularly within scientific communities\, there’s a genuine interest in its capabilities\, its evolution\, and the potential transformative impacts it may have on scientific research. This 2-hour lecture offers an insightful dive into ChatGPT and similar large language models. We’ll structure our exploration by addressing the following pivotal questions: \n\nWhy is understanding ChatGPT essential for today?\nWhat do the “Chat”\, “G”\, “P”\, and “T” mean?\nWhy does ChatGPT perform so remarkably well?\nWhere does ChatGPT fall short or face limitations?\nWhat are current focal areas in developing and using ChatGPT?\nHow might ChatGPT impact our scientific research?\n\nWhile most of the discussion is designed to be accessible without prior knowledge\, attendees with a basic understanding of machine learning or deep learning will be better positioned to appreciate the nuances and depth of the topics covered. \nQuestions about this workshop can be directed to Qiyang Hu (huqy@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJYrf-ugrDspGtIkVXlSxMWT1SZSHRuRbLF9 
URL:https://idre.ucla.edu/calendar-event/learning-chatgpt-its-past-present-and-future
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231101T113000
DTEND;TZID=America/Los_Angeles:20231101T130000
DTSTAMP:20260619T074620
CREATED:20230908T164913Z
LAST-MODIFIED:20230908T174112Z
UID:24249-1698838200-1698843600@idre.ucla.edu
SUMMARY:Hoffman2 Happy Hour: Rstudio for HPC
DESCRIPTION:The Hoffman2 Happy Hours Series: Using Rstudio on Hoffman2 is best with a Rstudio Server app. This Happy Hour shows an example of using a Rstudio Server with Apptainer. \nQuestions about this workshop can be directed to Charles Peterson (cpeterson@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJ0ocuupqzIuGNcIdgj9o1CSE9lEcn6WgOIk
URL:https://idre.ucla.edu/calendar-event/hoffman2-happy-hour-rstudio-for-hpc
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231027T113000
DTEND;TZID=America/Los_Angeles:20231027T130000
DTSTAMP:20260619T074620
CREATED:20230908T164912Z
LAST-MODIFIED:20230908T174136Z
UID:24248-1698406200-1698411600@idre.ucla.edu
SUMMARY:Building Containers for HPC
DESCRIPTION:This workshop is a follow-up to a previous workshop on “Using Containers on HPC Resources”. This workshop will focus on creating containers to be ran on HPC resources. We will go over building containers using Docker/podman and Apptainer/Singularity. We will also use Hoffman2 to run our newly built containers. To follow along\, users will need to install Docker or podman as well as Apptainer or Singularity on a computer they have root/admin access (Or you can just listen a watch). A GitHub or DockerHub account would also be needed to store our containers. We will provide a VM image for VituralBox with the software install. \nQuestions about this workshop can be directed to Charles Peterson (cpeterson@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJAkfuivqzkuG9yZeOdA5Qg4ZMrD_ODD0_6Y
URL:https://idre.ucla.edu/calendar-event/building-containers-for-hpc-2
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20231025T113000
DTEND;TZID=America/Los_Angeles:20231025T130000
DTSTAMP:20260619T074620
CREATED:20230908T164908Z
LAST-MODIFIED:20230908T174149Z
UID:24241-1698233400-1698238800@idre.ucla.edu
SUMMARY:Containers for HPC workshop
DESCRIPTION:This workshop will go over how to use container on HPC resources. Containers are a great way to run scientific software on various HPC platforms. Users can create a ‘virtual’ OS to easily install any application and transfer it to any system with container software. This workshop will cover how to build and use containers to run on HPC resources. We will use many examples of scientific software\, such as\, Nwchem\, R and Rstudio\, Python and Jupyter\, etc. We will work on UCLA’s HPC resource\, Hoffman2 (H2). H2 has the container software\, Apptainer where researchers can run containerize applications. To follow along with the instructor\, a Hoffman2 account will be needed. Also\, it is suggested to have apptainer on a machine you have admin access (a few examples will also use Docker on these machines as well). \nQuestions about this workshop can be directed to Charles Peterson (cpeterson@oarc.ucla.edu). \nRegister here: https://ucla.zoom.us/meeting/register/tJMpd-qpqzwtHtyOgR8EZm6AQDTBSgcYYb15
URL:https://idre.ucla.edu/calendar-event/containers-for-hpc-workshop
CATEGORIES:Education and Training,Training workshop / Tutorial
END:VEVENT
END:VCALENDAR