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X-WR-CALNAME:Institute for Digital Research and Education
X-ORIGINAL-URL:https://idre.ucla.edu
X-WR-CALDESC:Events for Institute for Digital Research and Education
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200227T130000
DTEND;TZID=America/Los_Angeles:20200227T150000
DTSTAMP:20260604T115158
CREATED:20191219T191424Z
LAST-MODIFIED:20200214T154339Z
UID:14835-1582808400-1582815600@idre.ucla.edu
SUMMARY:Running Applications on the Hoffman2 Cluster: Part I
DESCRIPTION:The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to clarify the process of getting started on the cluster\, navigating the command line and porting your own applications or using applications already available on the cluster. It also addresses how to import your workflow to Hoffman2 and how to submit batch and run interactive applications. \nIf you have questions or comments regarding this workshop\, please contact the instructor Raffaella D’Auria.
URL:https://idre.ucla.edu/calendar-event/running-applications-on-the-hoffman2-cluster-part-i
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200227T090000
DTEND;TZID=America/Los_Angeles:20200227T120000
DTSTAMP:20260604T115158
CREATED:20191213T230305Z
LAST-MODIFIED:20191220T192732Z
UID:14677-1582794000-1582804800@idre.ucla.edu
SUMMARY:Advanced Topics in Survey Data Analysis
DESCRIPTION:This workshop will cover advanced topics in the analysis of complex survey data.  Familiarity with common sampling plans and how to analyze data from them is necessary to understand the topics that will be discussed.  It is strongly suggested that attendees who do not have such familiarity attend the Introduction to Survey Data Analysis workshop before attending this workshop. \nThe workshop presents several advanced topics in dealing with complex survey data\, including imputation\, generating and using propensity scores\, multilevel modeling and latent variable models.  The workshop will discuss the use of several different statistical software packages (including SAS\, Stata and Mplus)\, but no single software package will be used for all examples. \nIf you have questions or comments regarding this event\, contact Statistical Consulting Group. \nNOTE: This event is only available in-person at UCLA. There will not be online access to this event. Please only register for the event if you are able to attend in-person.
URL:https://idre.ucla.edu/calendar-event/advanced-topics-in-survey-data-analysis
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200226T140000
DTEND;TZID=America/Los_Angeles:20200226T160000
DTSTAMP:20260604T115158
CREATED:20191216T185612Z
LAST-MODIFIED:20191216T185612Z
UID:14733-1582725600-1582732800@idre.ucla.edu
SUMMARY:Job Scheduling on Hoffman2 Cluster
DESCRIPTION:We will discuss how to effectively run jobs on Hoffman2 cluster which serves a wide spectrum of user applications and is almost always heavily loaded. We will first review the model and policy of Hoffman2’s job scheduling\, followed by fundamentals of using its job scheduler\, Univa Grid Engine. A number of common use cases will be discussed in details\, including: (1) Single-CPU jobs\, (2) Multi-CPU\, same-node jobs\, (3) Multiple-node (MPI-style) jobs\, (4) Job arrays and (5) High-priority jobs. \n\nIf you have questions regarding the workshop\, please contact the instructor Shao-Ching Huang.
URL:https://idre.ucla.edu/calendar-event/job-scheduling-on-hoffman2-cluster-3
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200226T110000
DTEND;TZID=America/Los_Angeles:20200226T120000
DTSTAMP:20260604T115158
CREATED:20191213T231259Z
LAST-MODIFIED:20200403T215654Z
UID:14693-1582714800-1582718400@idre.ucla.edu
SUMMARY:Learning Deep Learning with PyTorch (3) Using PyTorch
DESCRIPTION:This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. \nIn the third session of the series\, we will illustrate the basic usage of PyTorch and how to make deep learning project using PyTorch. \nThe knowledge of topics covered in the first and second session about machine/deep learning is assumed. Working experience of Python\, Jupyter Notebooks will be helpful to follow the demos. \nIf you have any further questions regarding the workshop\, please contact Qiyang Hu. \nPlease register to the Zoom Meeting before joining.
URL:https://idre.ucla.edu/calendar-event/learning-deep-learning-with-pytorch-3-using-pytorch
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200221T110000
DTEND;TZID=America/Los_Angeles:20200221T120000
DTSTAMP:20260604T115158
CREATED:20191213T231038Z
LAST-MODIFIED:20200220T171117Z
UID:14689-1582282800-1582286400@idre.ucla.edu
SUMMARY:Learning Deep Learning with PyTorch (2) Mechanics of Deep Learning
DESCRIPTION:This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. \nIn the second session of the series\, we will look into the procedures of working on a general deep learning project\, especially on how to train a deep neural network. The knowledge of topics covered in the first session is assumed. Basic knowledge of Calculus and Linear Algebra will be helpful to understand the details. \nIf you have any further questions regarding the workshop\, please contact Qiyang Hu. \n 
URL:https://idre.ucla.edu/calendar-event/learning-deep-learning-with-pytorch-2-mechanics-of-deep-learning
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200220T110000
DTEND;TZID=America/Los_Angeles:20200220T120000
DTSTAMP:20260604T115158
CREATED:20200124T202129Z
LAST-MODIFIED:20200124T220025Z
UID:15571-1582196400-1582200000@idre.ucla.edu
SUMMARY:Accessibility Testing Training
DESCRIPTION:In this live hour-long webinar the UCLA Disabilities and Computing Program will introduce the basics of accessibility testing. The ability to identify accessibility errors is the first step in making your content accessible.  This class will focus on HTML accessibility and Document accessibility testing. \nLearning Outcomes\nBy the end of this training you should be able to: \n\nDescribe the importance of accessibility testing\nTab test a website\nTurn on VO or NVDA\nDownload and run the Wave plug in for accessibility testing\nInterpret the results from the Wave Plug in\nRun the Word Document accessibility checker\nRun the PDF accessibility checker\n\nRSVP for Event
URL:https://idre.ucla.edu/calendar-event/accessibility-testing-training
LOCATION:Zoom
CATEGORIES:Education and Training
ORGANIZER;CN="Disabilities and Computing Program":MAILTO:dcp@oit.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200220T090000
DTEND;TZID=America/Los_Angeles:20200220T120000
DTSTAMP:20260604T115158
CREATED:20191213T210336Z
LAST-MODIFIED:20191217T154815Z
UID:14669-1582189200-1582200000@idre.ucla.edu
SUMMARY:Introduction to Survey Data Analysis in Stata
DESCRIPTION:The workshop will introduce the basic concepts and elements necessary to analyze data collected via a complex sampling design.  The workshop will use Stata to conduct descriptive analyses and create graphs.  Examples of subpopulation analyses will be given\, as well as examples of linear and logistic regression models. \nIf you have questions or comments regarding this event\, contact Statistical Consulting Group. \nNOTE: This event is only available in-person at UCLA. There will not be online access to this event. Please only register for the event if you are able to attend in-person.
URL:https://idre.ucla.edu/calendar-event/introduction-to-survey-data-analysis-in-stata
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200219T110000
DTEND;TZID=America/Los_Angeles:20200219T120000
DTSTAMP:20260604T115158
CREATED:20191213T230902Z
LAST-MODIFIED:20191216T210840Z
UID:14686-1582110000-1582113600@idre.ucla.edu
SUMMARY:Learning Deep Learning with PyTorch (1) Introduction
DESCRIPTION:This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well. \nIn the first session of the series\, we will give general introduction about machine learning\, neural network and PyTorch. No specific prerequisite is required. \nIf you have any further questions regarding the workshop\, please contact Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/learning-deep-learning-pytorch-1-introduction
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200218T130000
DTEND;TZID=America/Los_Angeles:20200218T160000
DTSTAMP:20260604T115158
CREATED:20191213T210118Z
LAST-MODIFIED:20191217T154546Z
UID:14666-1582030800-1582041600@idre.ucla.edu
SUMMARY:Regression Models with Count Data
DESCRIPTION:Regression models for data with a count outcome is part of the family of generalized linear models. This workshop is designed to give an overview on regression model with count data. The workshop includes a broad range of analyses available for count regression models such as Poisson regression\, negative binomial\, zero-inflated Poisson\, and zero-inflated negative binomial. The main statistical package in the workshop is R\, but code to implement count regression models in other statistical packages such as Stata\, SAS and SPSS will be provided. \nIf you have questions or comments regarding this event\, contact Statistical Consulting Group. \nNOTE: This event is only available in-person at UCLA. There will not be online access to this event. Please only register for the event if you are able to attend in-person.
URL:https://idre.ucla.edu/calendar-event/regression-models-with-count-data
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200213T110000
DTEND;TZID=America/Los_Angeles:20200213T120000
DTSTAMP:20260604T115158
CREATED:20200124T202357Z
LAST-MODIFIED:20200124T215911Z
UID:15575-1581591600-1581595200@idre.ucla.edu
SUMMARY:Accessibility Basics Training
DESCRIPTION:People who are blind\, low-vision or have dyslexia rely on assistive technologies and screenreading software to “read text out loud” to them. However\, many documents and websites created are completely inaccessible or just frustrating for screenreader users. Learn accessible design and content management tools to make it easier for people with disabilities to engage with your website content and documents. \n\n\nRSVP for Event
URL:https://idre.ucla.edu/calendar-event/accessibility-basics-training-7
LOCATION:Zoom
CATEGORIES:Education and Training
ORGANIZER;CN="Disabilities and Computing Program":MAILTO:dcp@oit.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200129T140000
DTEND;TZID=America/Los_Angeles:20200129T160000
DTSTAMP:20260604T115158
CREATED:20191213T230713Z
LAST-MODIFIED:20191216T155342Z
UID:14683-1580306400-1580313600@idre.ucla.edu
SUMMARY:Jupyter Advanced Topics
DESCRIPTION:This short class will illustrate several powerful tools and features that can enhance one’s experience with Jupyter notebooks. The interactive demonstrations will include a brief overview of how to make interactive widgets for interactive visualizations and dashboards\, how to generate analysis pipelines and reports\, and how to link notebooks with online tools such as GitHub and Binder to share an interactive notebook with collaborators or the general public. \nIf you have any further questions regarding the workshop\, please contact Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/jupyter-advanced-topics-2
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200123T090000
DTEND;TZID=America/Los_Angeles:20200123T120000
DTSTAMP:20260604T115158
CREATED:20191213T205746Z
LAST-MODIFIED:20191217T153819Z
UID:14663-1579770000-1579780800@idre.ucla.edu
SUMMARY:R Markdown
DESCRIPTION:R Markdown files integrate text\, Markdown\, and R code into dynamic documents that weave together plain text\, formatted text\, and the output of the R code.  The resulting dynamic reports can be produced in many formats\, including HTML documents\, HTML slideshows\, LaTeX pdf\, Beamer slideshows\, MS Word doc\, books\, scientific articles\, and websites.   This seminar covers basic coding and conventions of the 3 frameworks upon which R Markdown depends:  Markdown for formatting text\, knitr for R code chunks\, and YAML for rendering the document.  The seminar does not assume any previous experience with R Markdown\, but attendees who wish to participate in seminar demonstrations should come with RStudio and R Markdown installed on their computers. \nIf you do not have a laptop to bring\, please borrow one from the library before coming to the workshop. \nIf you have questions or comments regarding this event\, contact Statistical Consulting Group. \nNOTE: This event is only available in-person at UCLA. There will not be online access to this event. Please only register for the event if you are able to attend in-person.
URL:https://idre.ucla.edu/calendar-event/r-markdown
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200122T140000
DTEND;TZID=America/Los_Angeles:20200122T160000
DTSTAMP:20260604T115158
CREATED:20191213T230501Z
LAST-MODIFIED:20191216T155558Z
UID:14680-1579701600-1579708800@idre.ucla.edu
SUMMARY:Data Visualization with Python
DESCRIPTION:Python offers many graphing libraries for placing data into a visual context. This short class will be an interactive overview of libraries such as matplotlib\, seaborn\, ggplot\, Plotly\, Bokeh\, and others\, with a view to exploring features such plotting control\, usability\, and interactivity. Familiarity with Python will be useful. \nIf you have any further questions regarding the workshop\, please contact Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/data-visualization-with-python
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200122T090000
DTEND;TZID=America/Los_Angeles:20200122T120000
DTSTAMP:20260604T115158
CREATED:20191216T153917Z
LAST-MODIFIED:20191216T170202Z
UID:14713-1579683600-1579694400@idre.ucla.edu
SUMMARY:Introduction to GIS and Spatial Research
DESCRIPTION:As members of an academic community with a myriad of research initiatives\, the need to map information\, to spatially analyze\, to geoprocess\, and to visualize space and time is becoming ubiquitous. But how do you get started? The answer to this question largely depends on what you want to map\, and how you want to create your map. The what is usually easy. It is driven by your passion to pursue a research question and to have maps assist in the development of an argument. The how is the difficult part. It may depend on what data you have\, what tools you have access to\, how comfortable you are with software packages\, if you are open to write code or use the command line. Often times\, your research question lends itself to a spatial argument. However\, providing insights to questions using spatial visualization tools is a process that involves any number of factors\, including: data acquisition\, data cleanup\, geo-enabling data\, geocoding data\, georeferencing data\, visualizing spatial data\, overlaying other spatial data\, conducting spatial analysis and/or geoprocessing\, analyzing results\, visualizing results\, and publishing results. There is no single application that can accomplish every phase of your spatial process. In this hands-on workshop\, learn how to think spatially\, and experiment with a variety of tools that may expand and enable your research through spatial discovery. \nThere are no pre-requisite requirements to take this workshop\, but please make sure to RSVP! Space is limited. \nIf you have questions regarding the workshop\, please contact the instructor Yoh Kawano.
URL:https://idre.ucla.edu/calendar-event/introduction-to-gis-and-spatial-research
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200115T090000
DTEND;TZID=America/Los_Angeles:20200116T163000
DTSTAMP:20260604T115158
CREATED:20191220T194800Z
LAST-MODIFIED:20191220T194957Z
UID:14890-1579078800-1579192200@idre.ucla.edu
SUMMARY:Software Carpentry Workshop - R
DESCRIPTION:REGISTER HERE \nThis is a two day workshop.  \nSoftware Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools\, including program design\, version control\, data management\, and task automation. \nWorkshop Website: https://ucla-data-archive.github.io/2020-01-15-ucla/ (for more information on the workshop) \nWho: The course is aimed at graduate students and other researchers. You don’t need to have any previous knowledge of the tools that will be presented at the workshop. \nWhere: 5628 Math/Sciences Building. Get directions with OpenStreetMap or Google Maps. \nWhen: Jan 15-16\, 2020 at 9:00 am to 4:30 pm\, daily. Add to your Google Calendar. \nRequirements: Participants must bring a laptop with a Mac\, Linux\, or Windows operating system (not a tablet\, Chromebook\, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed here). \nCode of Conduct: Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed. \nAccessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that: \n\nThe room is wheelchair / scooter accessible.\nAccessible restrooms are available.\n\nMaterials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters\, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them. \nContact: Please email crwells@ucla.edu or datascience@ucla.edu for more information.
URL:https://idre.ucla.edu/calendar-event/software-carpentry-workshop-r
CATEGORIES:Classes and Workshops,Education and Training
ORGANIZER;CN="UCLA IDRE Statistical Consulting":MAILTO:idrestat@ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20200114T140000
DTEND;TZID=America/Los_Angeles:20200114T160000
DTSTAMP:20260604T115158
CREATED:20191216T153658Z
LAST-MODIFIED:20200102T182638Z
UID:14708-1579010400-1579017600@idre.ucla.edu
SUMMARY:Introduction to Data Visualization
DESCRIPTION:There are many ways to communicate the results of research. Visually representing data provides a valuable perspective within an academic argument. Data visualizations provide an overview or snapshot of a dataset\, draw attention to outliers\, demonstrate trends\, or simply help us to understand our data better. Functioning as evidentiary support\, data visualizations can sharpen key research findings. They can effectively transmit and help give meaning to big datasets. It should be noted though that there are both benefits and drawbacks to turning information into graphics\, both practically and intellectually. In this workshop\, we will cover why people may choose to visualize data. The workshop will expose participants to different types of data visualizations\, show them how to choose the right chart or graph for their content\, and share best practices for making those visualizations legible and accurate. With opportunities for hands-on work\, the workshop will cover various data viz tools that can be used to help get the job done for a wide-range of research needs. \nThere are no pre-requisite requirements to take this workshop\, but please make sure to RSVP! Space is limited. \nIf you have questions regarding the workshop\, please contact the instructor Francesca Albrezzi.
URL:https://idre.ucla.edu/calendar-event/introduction-to-data-visualization
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191210T110000
DTEND;TZID=America/Los_Angeles:20191210T120000
DTSTAMP:20260604T115158
CREATED:20191017T202440Z
LAST-MODIFIED:20191018T182434Z
UID:13951-1575975600-1575979200@idre.ucla.edu
SUMMARY:Accessibility Basics Training
DESCRIPTION:People who are blind\, low-vision or have dyslexia rely on assistive technologies and screenreading software to “read text out loud” to them. However\, many documents and websites created are completely inaccessible or just frustrating for screenreader users. Learn accessible design and content management tools to make it easier for people with disabilities to engage with your website content and documents. During the hour long active learning session\, you will learn the impact of accessible websites and documents\, simple methods how to build in accessibility in current content\, and have an opportunity for hands-on experience building accessible webpages and documents. Please bring your laptop. \n  \nRSVP Now. \n  \nUse this Zoom link to join. \n 
URL:https://idre.ucla.edu/calendar-event/accessibility-basics-training-6
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
ORGANIZER;CN="Disabilities and Computing Program":MAILTO:dcp@oit.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191203T080000
DTEND;TZID=America/Los_Angeles:20191204T140000
DTSTAMP:20260604T115158
CREATED:20191113T214315Z
LAST-MODIFIED:20191113T221651Z
UID:14610-1575360000-1575468000@idre.ucla.edu
SUMMARY:XSEDE HPC Workshop: BIG DATA
DESCRIPTION:UCLA-IDRE\, along with XSEDE and Pittsburgh Supercomputing Center\, is pleased to announce a two day Big Data workshop (Dec 3-4\, 2019\, 8 AM-2 PM PDT each day). \nThis workshop will focus on topics such as Hadoop and Spark and will be presented using the Wide Area Classroom (WAC) training platform. \nFor registration and detailed information\, visit: https://www.psc.edu/current-workshop \nAgenda— Day – 1:\n \n\n\n\nTuesday\, December 3\, 2019\nAll times given are Pacific\n\n\n08:00 AM\nWelcome\n\n\n08:25 AM\nIntro to Big Data\n\n\n09:00 AM\nHadoop\n\n\n09:30 AM\nIntro to Spark\n\n\n10:00 AM\nLunch Break\n\n\n11:00 AM\nSpark\n\n\n01:45 PM\nBridges: A Big Data Platform\n\n\n02:00 PM\nAdjourn\n\n\n\nDay – 2: \n\n\n\nWednesday\, December 4\, 2019\nAll times given are Pacific\n\n\n08:00 AM\nMachine Learning: Recommender System with Spark\n\n\n10:00 AM\nLunch break\n\n\n11:00 AM\nDeep Learning with Tensorflow\n\n\n02:00 PM\nAdjourn\n\n\n\n\n\nNote: Please reach out to tvsingh@ucla.edu in case of any questions about the workshop at UCLA.
URL:https://idre.ucla.edu/calendar-event/xsede-hpc-workshop-big-data-dec2019
LOCATION:IDRE Visualization Portal\, Math Sciences Building 5628\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191121T110000
DTEND;TZID=America/Los_Angeles:20191121T120000
DTSTAMP:20260604T115158
CREATED:20191017T202300Z
LAST-MODIFIED:20191018T182501Z
UID:13949-1574334000-1574337600@idre.ucla.edu
SUMMARY:Accessibility Basics Training
DESCRIPTION:People who are blind\, low-vision or have dyslexia rely on assistive technologies and screenreading software to “read text out loud” to them. However\, many documents and websites created are completely inaccessible or just frustrating for screenreader users. Learn accessible design and content management tools to make it easier for people with disabilities to engage with your website content and documents. During the hour long active learning session\, you will learn the impact of accessible websites and documents\, simple methods how to build in accessibility in current content\, and have an opportunity for hands-on experience building accessible webpages and documents. Please bring your laptop. \n  \nRSVP Now. \n  \nUse this Zoom link to join.
URL:https://idre.ucla.edu/calendar-event/accessibility-basics-training-5
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
ORGANIZER;CN="Disabilities and Computing Program":MAILTO:dcp@oit.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191118T130000
DTEND;TZID=America/Los_Angeles:20191118T160000
DTSTAMP:20260604T115158
CREATED:20191014T172503Z
LAST-MODIFIED:20191018T182833Z
UID:13870-1574082000-1574092800@idre.ucla.edu
SUMMARY:Introduction to R
DESCRIPTION:R is a programming environment that runs on Windows\, Macintosh and UNIX platforms. This class is designed for people who are just starting to use R. The students in the class will have a hands-on experience using R for doing statistics\, graphics\, and data management. The class notes are the scripts for the class. The R class notes do not contain any of the computer output. The class notes are not meant to be an R textbook or a reference manual. However\, it is possible for individuals to use the class notes to help them learn R even if they don’t enroll in the class. \nStudents should bring their own laptop computers with R 3.6.1 (https://cran.r-project.org/ ) installed.  Installation of R-Studio (https://www.rstudio.com/products/rstudio/download/ ) is also strongly recommended. 
URL:https://idre.ucla.edu/calendar-event/introduction-to-r-9
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191114T110000
DTEND;TZID=America/Los_Angeles:20191114T130000
DTSTAMP:20260604T115158
CREATED:20190905T224503Z
LAST-MODIFIED:20191113T185219Z
UID:13259-1573729200-1573736400@idre.ucla.edu
SUMMARY:Learning Machine Learning with Kaggle Challenges: Deep Learning for Dogs-vs-Cats Problem with Better Solutions
DESCRIPTION:In Fall 2019\, IDRE RTG will offer a series of classes on machine learning to the campus. The objective of the series is to present overviews to the exciting machine learning techniques and to provide a practical guide for general audience to step into the field. This series is primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with machine learning experiences are expected to get benefits from related discussions as well. \nIn the fourth session in the series\, we will focus on deep learning and use Dogs-vs-Cats Kaggle Challenge as the case study. The topics will include: \n1. Introduction to Data Augmentation techniques.\n2. Using Data Augmentation to improve the solution for the Dogs-vs-Cats Kaggle Challenge.\n3. Introducing transfer learning techniques to the Dogs-vs-Cats Kaggle Challenge. \nNo specific prerequisite is required to understand most parts of the talks. The current session assumes the knowledge of topics covered in the third session. Working experience of Python\, Jupyter Notebooks and linear algebra will be helpful. \n  \nIf you have any further questions regarding the workshop\, please contact Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/learning-machine-learning-with-kaggle-challenges-deep-learning-for-dogs-vs-cats-problem-with-better-solutions
LOCATION:IDRE Visualization Portal\, Math Sciences Building 5628\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191108T090000
DTEND;TZID=America/Los_Angeles:20191108T160000
DTSTAMP:20260604T115158
CREATED:20191021T165716Z
LAST-MODIFIED:20191108T231248Z
UID:14129-1573203600-1573228800@idre.ucla.edu
SUMMARY:Advanced Computing and Data Analytics using Comet
DESCRIPTION:UCLA-IDRE and San Diego Supercomputer Center (SDSC) are happy to announce the workshop “Advanced Computing and Data Analytics using Comet” as per the following details: \nVenue: 5628 Math Sciences Bldg.\nRSVP: Link to the registration form (*lunch is provided)\nRequirements: Bring your laptop for hands-on exercises.\nQuestions: Contact T.V.Singh \nLink to the presentation slides: https://github.com/sdsc-scicomp/2019-11-08-comet-workshop-ucla \nAgenda: \n\n9:00 AM – 9:10 AM: Welcome\n9:10 AM – 10:10 AM: Introduction to SDSC Resources – Current and Future\n\nComet\, hardware overview\nSoftware\, stack\, queues\, etc\nOverview of upcoming Expanse system\n\n\n10:10 AM – 10:20 AM: Short break\n10:20 AM -12:00 PM: Python for High Performance Computing (HPC)\n\nUse of Jupyter notebooks on Comet\nScaling using IPython parallel\nUsing Numba to run pure python codes on GPUs\nDistributed parallel computing using Dask\n\n\n12:00 PM – 1:00 PM: Lunch (provided)\n1:00 PM – 2:30 PM: Introduction to Machine Learning and Deep Learning on Comet\n\nOverview of machine learning / deep learning tools available on Comet.\nExamples using R\, Python\, and Keras with TensorFlow.\n\n\n2:30 PM – 2:40 PM: Short break\n2:40 PM – 4:00 PM: Containers for Scientific and High Performance Computing (HPC)\n\nIntroduction to Containers – advantages and limitations\nOverview of containers on HPC systems\nSingularity Essentials\nHands-on examples showing usage of containers – CPU\, GPU\, and MPI cases\nHands-on example showing the import of Docker container\nInfo on building images\n\n\n4:00 PM: Adjourn
URL:https://idre.ucla.edu/calendar-event/idre-sdsc-2019
LOCATION:IDRE Visualization Portal\, Math Sciences Building 5628\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Conferences and Seminars,Education and Training,Meetings,Presentations,UCLA event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191107T110000
DTEND;TZID=America/Los_Angeles:20191107T130000
DTSTAMP:20260604T115158
CREATED:20190905T222753Z
LAST-MODIFIED:20191025T022952Z
UID:13255-1573124400-1573131600@idre.ucla.edu
SUMMARY:Learning Machine Learning with Kaggle Challenges: Deep Learning for Dogs-vs-Cats Problem
DESCRIPTION:In Fall 2019\, IDRE RTG will offer a series of classes on machine learning to the campus. The objective of the series is to present overviews to the exciting machine learning techniques and to provide a practical guide for general audience to step into the field. This series is primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with machine learning experiences are expected to get benefits from related discussions as well. \nIn the third session in the series\, we will focus on deep learning and use Dogs-vs-Cats Kaggle Challenge as the case study. The topics will include: \n1. Introduction to deep learning and neural network.\n2. Introduction to convolutional neural network.\n2. Applying CNNs using Tensorflow to studying the Dogs-vs-Cats Kaggle Challenge. \nNo specific prerequisite is required to understand most parts of the talks. The current session assumes the knowledge of topics covered in the first and second session. Working experience of Python\, Jupyter Notebooks and linear algebra will be helpful. \n  \nIf you have any questions regarding the workshop\, please contact Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/learning-machine-learning-with-kaggle-challenges-deep-learning-for-dogs-vs-cats-problem
LOCATION:IDRE Visualization Portal\, Math Sciences Building 5628\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191106T140000
DTEND;TZID=America/Los_Angeles:20191106T160000
DTSTAMP:20260604T115158
CREATED:20190910T152837Z
LAST-MODIFIED:20191023T185327Z
UID:13236-1573048800-1573056000@idre.ucla.edu
SUMMARY:Introduction to GIS and Python
DESCRIPTION:An introduction to using GeoSpatial tools with Python. \nIf you have questions regarding the workshop\, please contact Albert Kochpahum.
URL:https://idre.ucla.edu/calendar-event/introduction-to-gis-and-python
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191105T100000
DTEND;TZID=America/Los_Angeles:20191105T110000
DTSTAMP:20260604T115158
CREATED:20191029T225420Z
LAST-MODIFIED:20191104T175104Z
UID:14397-1572948000-1572951600@idre.ucla.edu
SUMMARY:UCLA/CESMII Presentation on Singularity Container
DESCRIPTION:Singularity in many ways is similar to Docker container which many of you are familiar. The high performance computing community tends to favor Singularity over Docker because Singularity has a better control over security compared to Docker.  In the past presentation we have looked into the security issues on Docker.  So\, we won’t be looking at that again. This presentation will be mainly on Singularity and will be on a Ubuntu 18.04 OS host system.  It will be pretty much same on a CentOS 8 host. \nPresentation materials are available here.\n\nPlease attend the technical presentation on Tuesday\, November 5th 10:00 am in room 3909 MSA if you have free time. No RSVP required. \n\nIf you have questions regarding this presentation\, contact Prakashan Korambath.
URL:https://idre.ucla.edu/calendar-event/ucla-cesmii-presentation-on-singularity-container
CATEGORIES:Education and Training,Presentations
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191101T090000
DTEND;TZID=America/Los_Angeles:20191101T170000
DTSTAMP:20260604T115158
CREATED:20190916T192529Z
LAST-MODIFIED:20191018T182739Z
UID:13304-1572598800-1572627600@idre.ucla.edu
SUMMARY:Addressing the Vaccine Crisis: The Digital World\, Big Data\, and Public Health
DESCRIPTION:  \n\n\n\nVenue: James Bridges Theater\, UCLA Melnitz Hall\, 235 Charles E Young Dr.\, Los Angeles\, CA – 90095\nRegister: RSVP link\nQuestions: Contact T.V. Singh\nOrganizers: \nVwani Roychowdhury\nTimothy R. Tangherlini\nBeth Glenn\nCatherine Crespi\nRoshan Bastani\n\n\n\nAddressing the Vaccine Crisis: The Digital World\, Big Data\, and Public Health\n \nThe World Health Organization has identified vaccine hesitancy as one of the top threats to global health. This one-day symposium\, hosted by UCLA faculty from Engineering\, Humanities and Public Health\, comes amid the growing attention to this potential crisis. We bring together experts from across public health\, data science\, culture analytics\, sociology\, and law to address the most pressing questions about vaccination resistance and chart a course for future action. This symposium is sponsored by the UCLA Institute for Digital Research & Education (IDRE). \nAgenda: Nov 1\, 2019 (9:00 AM – 5:00 PM) \n\n\n\n9:00 – 9:15\nVice Provost Timothy Brewer and Warren Mori (UCLA) \nOpening remarks\n\n\n9:15-9:40\nRoshan Bastani (UCLA) \nIntroductions and Overview of Vaccine Crisis\n\n\n9:40-10:15\nJames Cherry (UCLA Medical School) \nThe Benefits of Routine Immunization\n\n\n10:15-10-45\nAndrea Kitta (East Carolina University) \nVaccination: Legend\, Rumor\, and Alternative Facts\n\n\n10:45-11:00\nBreak\n\n\n11:00-11:40\nDavid Broniatowski (George Washington University) \nHidden Agendas for Online Vaccination: Trolls\, Bots & Misinformation\n\n\n11:40-12:15\nJennifer Reich (University of Colorado Denver) \nVaccine Refusal and the Culture of Individualist Parenting\n\n\n12:15-12:30\nQ/A\n\n\n12:30-1:45\nLunch\n\n\n1:45-2:20\nKate Starbird (University of Washington) \nConceptualizing disinformation campaigns as collaborative work in online communities\n\n\n2:20-2:55\nSheila Murphy and collaborators (USC) \nDoes Mommy Really Know Best? Testing Source and Narrative Format Efficacy to Combat Childhood Vaccine Misinformation\n\n\n2:55-3:15\nVwani Roychowdhury (UCLA) \nThe theory\, practicality and ethics of Online Campaigns for Vaccine Awareness\n\n\n3:15-3:30\nCoffee Break\n\n\n3:30-4:05\nEmilio Ferrara (USC) \nOnline manipulation and public health: challenges and approaches\n\n\n4:05-4:40\nDorit Rubinstein Reiss (UC Hastings College of law) \nLegal Remedies to the Vaccine Crisis: What we can\, and what we should do \n\n\n4:40-4:55\nQ/A\n\n\n5:00\nWrap up\n\n\n\nVaccination: Legend\, Rumor\, and Alternative Facts  \nAndrea Kitta\nEast Carolina University \nAbstract: In spite of the success of the childhood inoculation movement\, the public has increasingly asked questions about the safety and efficacy of vaccines. Recent research and media coverage also shows that parents are increasingly choosing to not vaccinate their children. Factors isolated by researchers include: a lack of understanding of how the vaccine works\, religious or philosophical objections\, fear of government control in areas of personal choice\, concern about safety and/or efficacy\, beliefs that vaccine-preventable diseases do not pose a serious health risk\, certainty that alternative treatments are superior\, concerns that vaccines are promoted for the sake of financial gain\, and belief that vaccines are not “natural.” \nThis presentation explores vernacular beliefs and practices that surround decisions to not vaccinate with the primary aim of providing concrete recommendations for improving inoculation promotion programs. The rationale of this work is consistent with a number of studies that apply vernacular health belief research to health education and health promotion policy. These studies use as their central premise the notion that health education must be based on community understandings of risk\, and that such understandings require ethnographic investigation. Ideally\, health education programs are community-based; involve collaborative partnerships between communities\, researchers\, and service providers; and make use of local concerns. Understanding health choices is dependent on exploring the variety of cultural concerns and influences that constitute risk for the communities and individuals in question. Risk categories and risk perception are multifaceted\, culture-bound\, personal\, and political. \nMy research draws on ethnography\, media\, Internet\, and narrative analyses to explore the vernacular explanatory models used in inoculation decision-making. The majority of knowledge\, belief\, and behavior studies on inoculation decision-making are based on survey-style self-report. As has been shown consistently with health risks\, risk perception is not easily accessed through survey methods\, but requires the greater ethnographic and qualitative study that a folklorist can provide. In order to even begin to understand this language\, ethnographic research skills are necessary as vaccination narratives are presented and communicated in a variety of ways through the use of traditional narratives and beliefs. The most common genres used in vaccination discourse are contemporary legends\, rumor\, and personal experience narratives\, or in some cases\, a combination of the three. \n  \nHidden Agendas for Online Vaccination: Trolls\, Bots & Misinformation \nDavid Broniatowski\nGeorge Washington University \nAbstract: This talk will cover the ways in which state-sponsored and profit-seeking entities use health communication about vaccines on social media to accomplish a variety of malicious tasks\, including promoting discord\, spreading malware\, and spamming. We will cover the different types of malicious actors on Twitter and the specific ways these are used to achieve the goals identified above\, and some promising theoretical approaches to combating them. \n  \nVaccine Refusal and the Culture of Individualist Parenting \nJennifer A. Reich\nUniversity of Colorado Denver \nAbstract: Parents who reject some or all vaccines are often described as ignorant\, anti-science\, selfish\, or even delusional about the seriousness of vaccine-preventable diseases. Yet these popular views may not capture the more complex processes that lead some parents to opt out of vaccines for their children. Using data from in-depth interviews and ethnographic observation with parents who refuse some or all vaccines\, I argue that vaccine refusal is in many ways a logical response to cultural pressures that expect parents to actively manage consumption decisions and curate opportunities for their children\, which include intense efforts to evaluate risk and benefit to children’s health. I conclude by suggesting some paths forward to support a parenting culture of shared responsibility that in turn could increase participation in public health interventions like childhood vaccination. \n  \nConceptualizing disinformation campaigns as collaborative work in online communities  \nKate Starbird\nUniversity of Washington \nAbstract: The pervasive spread of mis- and disinformation in online spaces is a critical concern for society. Broadly\, these dynamics function to reduce trust in democratic institutions\, including government\, media\, and science. They also have more specific and direct effects. For example\, the spread of misinformation about vaccines is now having measurable (negative) impacts on public health. In this talk\, I will situate the vaccine “debate” (or anti-vaccine movement) within a broader online ecosystem of mis- and disinformation. Using case studies of political disinformation\, I will describe how online activist communities (generally) can become targets and vectors of political disinformation—and how they integrate diverse actors with diverse motivations (from ideological to political to financial) into seemingly organic action. I will also show how anti-vaccine activism and discourse intersects with other disinformation campaigns\, including political disinformation with ties to specific state actors. \n  \nDoes Mommy Really Know Best? Testing Source and Narrative Format Efficacy to Combat Childhood Vaccine Misinformation \nSheila T. Murphy and Ashley L. Phelps\,\nUniversity of Southern California (USC) \nAbstract: Pro-vaccine messages correcting misinformation about vaccines by highlighting the risks of illness are ineffective in changing vaccine hesitant attitudes. Rather attitudes about childhood vaccinations are heavily influenced by injunctive (what one should do) and descriptive (what others are doing) norms. A 2×2 experiment tests the relative efficacy of a similar (mommy vlogger) versus an expert source (female pediatrician) and information format (narrative testimonial versus nonnarrative tutorial) using an increasingly popular format for health information\, YouTube. \n  \nOnline manipulation and public health: challenges and approaches  \nEmilio Ferrara\nUniversity of Southern California (USC) \nAbstract: Online misinformation is endemic of social media\, and bots and trolls have been exacerbating the spread of inaccurate information. Their influence has been shown in domains from politics to finance\, and public health is no exception: conspiracy theories\, anti-science and unscientific content about vaccines\, epidemic outbreaks\, tobacco\, and other health-related rumors can have adverse effects and contribute toward public health crises. I will illustrate the problem of public health misinformation with use cases that include an early study of the Ebola 2014 outbreak\, recent vaccine debates on various platforms\, the role of bots in the tobacco-related product promotion\, and finally provide computational tools to combat online misinformation\, detect bots and trolls\, and characterize their activity\, behavior\, and strategies. \n  \nLegal Remedies to the Vaccine Crisis: What we can\, and what we should do \nDorit Rubinstein Reiss\nUC Hastings College of law \nAbstract: This presentation will address the range of legal options facing states\, starting from the basic position that states have extensive leeway to regulate to increase childhood vaccines. It will address potential legal limits posed by the First Amendment\, states rights to education\, and parental rights\, suggest a continuum of option\, and end with several considerations to guide the appropriate legislative choices. \n 
URL:https://idre.ucla.edu/calendar-event/addressing-the-vaccine-crisis
CATEGORIES:Classes and Workshops,Conferences and Seminars,Education and Training,Meetings,Presentations,UCLA event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191031T110000
DTEND;TZID=America/Los_Angeles:20191031T130000
DTSTAMP:20260604T115158
CREATED:20190905T222123Z
LAST-MODIFIED:20191025T022901Z
UID:13251-1572519600-1572526800@idre.ucla.edu
SUMMARY:Learning Machine Learning with Kaggle Challenges: Solving Titanic Problem
DESCRIPTION:In Fall 2019\, IDRE RTG will offer a series of classes on machine learning to the campus. The objective of the series is to present overviews to the exciting machine learning techniques and to provide a practical guide for general audience to step into the field. This series is primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with machine learning experiences are expected to get benefits from related discussions as well. \nAs the second session in the series\, we will look into the Titanic Kaggle Challenge as a case study for classification problem in machine learning. Specifically we will focus on the following topics: \n1. Data preparation and exploration for Titantic Kaggle Challenge\n2. Introduction to the modeling of regression and classification problems.\n3. Techniques on modeling classification problem using Scikit-learn library.\n4. Prediction and submission to the Titanic challenge. \nNo specific prerequisite is required to understand most parts of the talks. The second session assumes the knowledge of topics covered in the first session. Working experience of Python\, Jupyter Notebooks and linear algebra will be helpful. \n  \nIf you have any questions regarding the workshop\, please contact Qiyang Hu.
URL:https://idre.ucla.edu/calendar-event/learning-machine-learning-with-kaggle-challenges-solving-titanic-problem
LOCATION:IDRE Visualization Portal\, Math Sciences Building 5628\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191030T130000
DTEND;TZID=America/Los_Angeles:20191030T150000
DTSTAMP:20260604T115158
CREATED:20190905T225349Z
LAST-MODIFIED:20191029T171524Z
UID:13263-1572440400-1572447600@idre.ucla.edu
SUMMARY:Introduction to Jupyter
DESCRIPTION:The Jupyter Notebook is a computing tool that allows users to edit and run Python\, R\, Julia (and many other programming languages) inside a web browser. Furthermore\, it is a powerful tool that allows users to combine live code\, text\, and visualizations in an interactive\, shareable\, reproducible document. It has been growing in popularity in many scientific and research disciplines as a data exploration and analysis tool that encourages collaboration and reproducible science. This class will provide an interactive demonstration showing what the Jupyter Notebook is\, how to use it\, and how it is being used in many different fields. \n  \nIf you have questions regarding the workshop\, please contact Ben Winjum.
URL:https://idre.ucla.edu/calendar-event/introduction-to-jupyter-4
LOCATION:IDRE Visualization Portal\, Math Sciences Building 5628\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Classes and Workshops,Education and Training
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191030T110000
DTEND;TZID=America/Los_Angeles:20191030T120000
DTSTAMP:20260604T115158
CREATED:20191017T202106Z
LAST-MODIFIED:20191018T182413Z
UID:13946-1572433200-1572436800@idre.ucla.edu
SUMMARY:Accessibility Basics Training
DESCRIPTION:People who are blind\, low-vision or have dyslexia rely on assistive technologies and screenreading software to “read text out loud” to them. However\, many documents and websites created are completely inaccessible or just frustrating for screenreader users. Learn accessible design and content management tools to make it easier for people with disabilities to engage with your website content and documents. During the hour long active learning session\, you will learn the impact of accessible websites and documents\, simple methods how to build in accessibility in current content\, and have an opportunity for hands-on experience building accessible webpages and documents. Please bring your laptop. \n  \nRSVP Now. \n  \nUse this Zoom link to join. \n 
URL:https://idre.ucla.edu/calendar-event/accessibility-basics-training-4
LOCATION:Zoom
CATEGORIES:Classes and Workshops,Education and Training
ORGANIZER;CN="Disabilities and Computing Program":MAILTO:dcp@oit.ucla.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20191029T100000
DTEND;TZID=America/Los_Angeles:20191029T120000
DTSTAMP:20260604T115158
CREATED:20190930T175946Z
LAST-MODIFIED:20191101T163012Z
UID:13352-1572343200-1572350400@idre.ucla.edu
SUMMARY:Running Applications on Hoffman2 - Part II
DESCRIPTION:The Hoffman2 cluster is a powerful computational resource for the UCLA research community. This class is designed to introduce users to the Hoffman2 cluster environment and to clarify the process of porting applications or using applications already available on the cluster. It also addresses how to port your workflow to the Hoffman2 and how to submit batch and run interactive applications.  \nPart II addresses specific workflow classes such as: multicore\, parallel and job array submissions. It addresses the process of creating Matlab standalone executables and running Matlab in batch\, as well as running Abaqus python scripts\, etc.. Example of how to submit array jobs using Matlab\, Abaqus\, R and your applications. We will also take a peak on how to run tensorflow and other machine learning applications on Hoffman2. A questionnaire will be distributed beforehand to tailor the class as much as possible to the needs of the attendees. \nIf you have any further questions regarding the workshop\, please contact Raffaella D’Auria.
URL:https://idre.ucla.edu/calendar-event/hoffman2-part-ii
LOCATION:IDRE Visualization Portal\, Math Sciences Building 5628\, 520 Portola Plaza\, Los Angeles\, CA\, 90095\, United States
CATEGORIES:Education and Training
END:VEVENT
END:VCALENDAR