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BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230309T100000
DTEND;TZID=America/Detroit:20230309T113000
DTSTAMP:20230217T195922Z
CREATED:20230112T161613Z
LAST-MODIFIED:20230217T195922Z
UID:10000594-1678356000-1678361400@micde.umich.edu
SUMMARY:Stata's `margins` command
DESCRIPTION:Audience: Researchers using Stata to fit statistical models\n\nStata’s `margins` command is a powerful and robust tool that makes Stata one of the premier pieces of software for statistical analysis. In this workshop\, we will cover the basic uses of the `margins` command\, including its use to better understand categorical predictors\, interactions\, and non-linear effects; marginalization to examine variable effects while averaging over other effects; and visualizations with `marginsplot`.
URL:https://micde.umich.edu/event/statas-margins-command/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230207T093000
DTEND;TZID=America/Detroit:20230207T153000
DTSTAMP:20230217T195922Z
CREATED:20230112T160800Z
LAST-MODIFIED:20230217T195922Z
UID:10000593-1675762200-1675783800@micde.umich.edu
SUMMARY:Introduction to Stata (Beginner)
DESCRIPTION:Audience: Those who have never used Stata before but wish to learn. \nBy the end of the workshop\, participants will be able to: Work with Stata\, including using Do-files and using the help system; Get data into Stata and manage your data files; Establish familiarity with your data; Clean the data to prepare it for analysis; Check for basic errors in the data; Generate new variables or manipulate existing variables; Merge or reshape the data.; Produce summary tables and descriptive statistics. \nNote: This workshop does NOT cover any statistical modeling.
URL:https://micde.umich.edu/event/introduction-to-stata-beginner/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20230127T100000
DTEND;TZID=America/Detroit:20230127T113000
DTSTAMP:20230217T195921Z
CREATED:20230112T150614Z
LAST-MODIFIED:20230217T195921Z
UID:10000592-1674813600-1674819000@micde.umich.edu
SUMMARY:Matching with R
DESCRIPTION:Audience: Researchers who are use or are interested in using matching. Taught in R (familiarity is assumed) but concepts transfer to other software.\n\nAn introduction to matching\, such as propensity score matching\, using R’s “optmatch” package. We will discuss the theory behind matching and propensity scores\, followed by examples using R to perform the matching and judging the match quality\, as well as speeding up the matching operation.r
URL:https://micde.umich.edu/event/matching-with-r/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221202T130000
DTEND;TZID=America/Detroit:20221202T153000
DTSTAMP:20230217T195908Z
CREATED:20221020T171929Z
LAST-MODIFIED:20230217T195908Z
UID:10000584-1669986000-1669995000@micde.umich.edu
SUMMARY:Introduction to R: Data Visualization with ggplot2
DESCRIPTION:This is a series of workshops to introduce the R programming language\, as well as using R for data management\, manipulation and visualization. No prior experience with R is required. These workshops are divided into the following three sessions:\n \n1. The Basics of R — Basic concepts and commands of the R programming language.\n2. Data Management and Manipulation — Exploring\, organizing and manipulating data using dplyr syntax.\n3. Data Visualization – Create informative graphics with improved quality and aesthetics using ggplot2.\n \nIt is not required to attend all three sessions. However\, sessions are built on each other and it is assumed that participants are familiar with materials presented in earlier sessions. b
URL:https://micde.umich.edu/event/introduction-to-r-data-visualization-with-ggplot2/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221201T130000
DTEND;TZID=America/Detroit:20221201T153000
DTSTAMP:20230217T195908Z
CREATED:20221020T170204Z
LAST-MODIFIED:20230217T195908Z
UID:10000583-1669899600-1669908600@micde.umich.edu
SUMMARY:Introduction to R: Data Management and Manipulation with dplyr
DESCRIPTION:This is a series of workshops to introduce the R programming language\, as well as using R for data management\, manipulation and visualization. No prior experience with R is required. These workshops are divided into the following three sessions:\n \n1. The Basics of R — Basic concepts and commands of the R programming language.\n2. Data Management and Manipulation — Exploring\, organizing and manipulating data using dplyr syntax.\n3. Data Visualization – Create informative graphics with improved quality and aesthetics using ggplot2.\n \nIt is not required to attend all three sessions. However\, sessions are built on each other and it is assumed that participants are familiar with materials presented in earlier sessions. 
URL:https://micde.umich.edu/event/introduction-to-r-data-management-and-manipulation-with-dplyr/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221130T130000
DTEND;TZID=America/Detroit:20221130T153000
DTSTAMP:20230217T195907Z
CREATED:20221020T165529Z
LAST-MODIFIED:20230217T195907Z
UID:10000582-1669813200-1669822200@micde.umich.edu
SUMMARY:Introduction to R: The Basics of R
DESCRIPTION:This is a series of workshops to introduce the R programming language\, as well as using R for data management\, manipulation and visualization. No prior experience with R is required. These workshops are divided into the following three sessions:\n \n1. The Basics of R — Basic concepts and commands of the R programming language.\n2. Data Management and Manipulation — Exploring\, organizing and manipulating data using dplyr syntax.\n3. Data Visualization – Create informative graphics with improved quality and aesthetics using ggplot2.\n \nIt is not required to attend all three sessions. However\, sessions are built on each other and it is assumed that participants are familiar with materials presented in earlier sessions. 
URL:https://micde.umich.edu/event/introduction-to-r-the-basics-of-r/
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221007T130000
DTEND;TZID=America/Detroit:20221007T143000
DTSTAMP:20220105T195308Z
CREATED:20220105T195308Z
LAST-MODIFIED:20220105T195308Z
UID:10000570-1665147600-1665153000@micde.umich.edu
SUMMARY:Introduction to Stata: Data Manipulation
DESCRIPTION:This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: \nSection 1: The Basics of Stata – Interacting with Stata and working with data sets. (10/03\, 1:00 – 2:30)\nSection 2: Data Management – The basics of maintaining and exploring a data set. (10/05\, 1:00 – 2:30)\nSection 3: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (10/07\, 1:00 – 2:30) \nYou do not need to attend all sessions; however\, the sessions build on each other and it will be assumed you are familiar with the material in earlier sessions. The workshop materials can be found at https://cscar.github.io/workshop-stata-intro/ for review. \nIt is strongly encouraged that you have Stata available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed.
URL:https://micde.umich.edu/event/section-2-data-management-2-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221005T130000
DTEND;TZID=America/Detroit:20221005T143000
DTSTAMP:20220105T195308Z
CREATED:20220105T195308Z
LAST-MODIFIED:20220105T195308Z
UID:10000569-1664974800-1664980200@micde.umich.edu
SUMMARY:Introduction to Stata: Data Management
DESCRIPTION:This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: \nSection 1: The Basics of Stata – Interacting with Stata and working with data sets. (10/03\, 1:00 – 2:30)\nSection 2: Data Management – The basics of maintaining and exploring a data set. (10/05\, 1:00 – 2:30)\nSection 3: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (10/07\, 1:00 – 2:30) \nYou do not need to attend all sessions; however\, the sessions build on each other and it will be assumed you are familiar with the material in earlier sessions. The workshop materials can be found at https://cscar.github.io/workshop-stata-intro/ for review. \nIt is strongly encouraged that you have Stata available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed.
URL:https://micde.umich.edu/event/section-2-data-management-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20221003T130000
DTEND;TZID=America/Detroit:20221003T143000
DTSTAMP:20220105T194745Z
CREATED:20220105T194745Z
LAST-MODIFIED:20220105T194745Z
UID:10000568-1664802000-1664807400@micde.umich.edu
SUMMARY:Introduction to Stata: The Basics of Stata
DESCRIPTION:This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: \nSection 1: The Basics of Stata – Interacting with Stata and working with data sets. (10/03\, 1:00 – 2:30)\nSection 2: Data Management – The basics of maintaining and exploring a data set. (10/05\, 1:00 – 2:30)\nSection 3: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (10/07\, 1:00 – 2:30) \nYou do not need to attend all sessions; however\, the sessions build on each other and it will be assumed you are familiar with the material in earlier sessions. The workshop materials can be found at https://cscar.github.io/workshop-stata-intro/ for review. \nIt is strongly encouraged that you have Stata available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed.
URL:https://micde.umich.edu/event/introduction-to-stata-the-basics-of-stata-3-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220818T090000
DTEND;TZID=America/Detroit:20220818T110000
DTSTAMP:20230217T195843Z
CREATED:20220722T155422Z
LAST-MODIFIED:20230217T195843Z
UID:10000575-1660813200-1660820400@micde.umich.edu
SUMMARY:Introduction to Julia for Statisticians and Data Scientists Day #3
DESCRIPTION:This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia\, but participants should have prior programming experience with a language such as Python\, R\, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop if they wish to have a hands-on experience. The instructor will be using Julia on greatlakes for demonstration so it is advisable (but not essential) for participants to have a greatlakes account. \nDay 1: Introduction to the language and tools\, managing data with dataframes\, producing simple graphs \nDay 2: Basic regression analysis using generalized linear models \nDay 3: Intermediate regression analyses using GEE\, mixed models\, and survival analysis
URL:https://micde.umich.edu/event/introduction-to-julia-for-statisticians-and-data-scientists-day-3/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220816T090000
DTEND;TZID=America/Detroit:20220816T110000
DTSTAMP:20230217T195842Z
CREATED:20220722T155000Z
LAST-MODIFIED:20230217T195842Z
UID:10000574-1660640400-1660647600@micde.umich.edu
SUMMARY:Introduction to Julia for Statisticians and Data Scientists Day #2
DESCRIPTION:This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia\, but participants should have prior programming experience with a language such as Python\, R\, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop if they wish to have a hands-on experience. The instructor will be using Julia on greatlakes for demonstration so it is advisable (but not essential) for participants to have a greatlakes account. \nDay 1: Introduction to the language and tools\, managing data with dataframes\, producing simple graphs \nDay 2: Basic regression analysis using generalized linear models \nDay 3: Intermediate regression analyses using GEE\, mixed models\, and survival analysis
URL:https://micde.umich.edu/event/introduction-to-julia-for-statisticians-and-data-scientists-day-2/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220815T090000
DTEND;TZID=America/Detroit:20220815T110000
DTSTAMP:20230217T195842Z
CREATED:20220722T153813Z
LAST-MODIFIED:20230217T195842Z
UID:10000573-1660554000-1660561200@micde.umich.edu
SUMMARY:Introduction to Julia for Statisticians and Data Scientists - Day 1
DESCRIPTION:This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia\, but participants should have prior programming experience with a language such as Python\, R\, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop if they wish to have a hands-on experience. The instructor will be using Julia on greatlakes for demonstration so it is advisable (but not essential) for participants to have a greatlakes account. \nDay 1: Introduction to the language and tools\, managing data with dataframes\, producing simple graphs \nDay 2: Basic regression analysis using generalized linear models \nDay 3: Intermediate regression analyses using GEE\, mixed models\, and survival analysis
URL:https://micde.umich.edu/event/introduction-to-julia-for-statisticians-and-data-scientists-day-1/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
GEO:42.2807892;-83.7381556
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rackham Building Earl Lewis Room 3rd Floor East 915 E. Washington St. Ann Arbor MI 48109 United States;X-APPLE-RADIUS=500;X-TITLE=915 E. Washington St.:geo:-83.7381556,42.2807892
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220513T130000
DTEND;TZID=America/Detroit:20220513T150000
DTSTAMP:20230217T195841Z
CREATED:20220428T163426Z
LAST-MODIFIED:20230217T195841Z
UID:10000571-1652446800-1652454000@micde.umich.edu
SUMMARY:Data Scraping With The Twitter Decahose At The University of Michigan
DESCRIPTION:Social media platforms are a rich source for data. The University of Michigan collects data with the Twitter Decahose\, maintaining an archive of 10% of tweets made from the past decade. This collection is maintained in collaboration by MIDAS\, CSCAR and ARC. \nThis workshop covers what the Twitter Decahose is\, the process to obtain access\, and details on the data format and metadata included\, with live examples to process a sample into a filtered set using Python and PySpark. \nMore information on research datasets from MIDAS can be found at: https://midas.umich.edu/research-datasets/ \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/data-scraping-with-the-twitter-decahose-at-the-university-of-michigan/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220413T100000
DTEND;TZID=America/Detroit:20220413T120000
DTSTAMP:20230217T195811Z
CREATED:20220204T175047Z
LAST-MODIFIED:20230217T195811Z
UID:10000557-1649844000-1649851200@micde.umich.edu
SUMMARY:Software Development For Research: Team-Based Programming Management
DESCRIPTION:Software development and computer programming is increasingly a major part of scientific research. When small or large teams are involved in coding the same project\, it’s a good idea to adopt team-based practices\, such as “pair programming” or “code review” meetings\, to ensure quality is maintained in the code. This hands-on workshop will provide examples of these topics in action\, and attendees will leave prepared to use these skills in their own work groups. \nThis is part of a series of workshops focused on both technical and soft skills regarding software engineering from a research perspective. \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/software-development-for-research-team-based-programming-management/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220330T100000
DTEND;TZID=America/Detroit:20220330T120000
DTSTAMP:20230217T195811Z
CREATED:20220204T174533Z
LAST-MODIFIED:20230217T195811Z
UID:10000556-1648634400-1648641600@micde.umich.edu
SUMMARY:Software Development For Research: Git for Collaborative Development
DESCRIPTION:This is a continuation of the previous workshop “Software Development For Research: Version Control Principles”. \nNow\, having learned the basics of version control\, we will see how to use the distributed features of Git to publish your project\, interact with your collaborators\, and incorporate changes from volunteer contributors; for this\, we will utilize GitHub\, the well-known software collaboration platform and code repository. After completing the workshop you will have a good understanding of typical GitHub workflow\, will know how to share your work and collaborate on GitHub. \nTo get the most from this course it is recommended to have a basic understanding of Git concepts (commits\, branches\, merges)\, to the extent covered in the previous workshop. \nThis is part of a series of workshops focused on both technical and soft skills regarding software engineering from a research perspective. \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/software-development-for-research-git-for-collaborative-development/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220324T140000
DTEND;TZID=America/Detroit:20220324T160000
DTSTAMP:20220308T174743Z
CREATED:20220308T174743Z
LAST-MODIFIED:20220308T174743Z
UID:10000559-1648130400-1648137600@micde.umich.edu
SUMMARY:Reading and discussion group: Spatial Analysis in Social Sciences
DESCRIPTION:This reading group moderated by consultants from CSCAR will focus on spatial analysis especially as practiced in social sciences. We will meet for 1.5 to 2 hours every month on the fourth Thursday and discuss one or two chapters from relevant graduate level textbooks. We will focus on the concepts and applications but will also try to discuss the technical details. The format is open-ended\, and the key objective is to support learning at different knowledge and skill levels. If there is interest\, we will also cover software implementation of techniques in R or Python. We will select reading material that is available via U-M library or freely accessible online. \nThe details for the third meeting are below. \nDate – March 24\, 2022 \nTime – 2:00 pm to 4:00 pm \nReadings – We will discuss the following chapters: \n(1) Chapter 4: Diagnosing Spatial Dependence (from Spatial Analysis for the Social Sciences by David Darmofal) \n(3) Chapter 5: Diagnosing Spatial Dependence in the Presence of Covariates (from Spatial Analysis for the Social Sciences by David Darmofal) \nDigital copies of the book are available from the UM Library.
URL:https://micde.umich.edu/event/reading-and-discussion-group-spatial-analysis-in-social-sciences-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220309T100000
DTEND;TZID=America/Detroit:20220309T120000
DTSTAMP:20211217T182335Z
CREATED:20211217T182335Z
LAST-MODIFIED:20211217T182335Z
UID:10000543-1646820000-1646827200@micde.umich.edu
SUMMARY:Software Development For Research: Version Control Principles
DESCRIPTION:Software development and computer programming is increasingly a major part of scientific research. Projects can quickly grow\, and it can be difficult to manage changes\, especially if multiple programmers are editing the same project at once! This workshop will cover Git\, a commonly-used tool for managing coding projects with multiple users\, with features to make or remove edits\, and track information related to those changes. After completing the workshop attendees will have a good understanding of Git workflow and will know how to perform the most common Git operations via the command line. \nThis is part of a series of workshops focused on both technical and soft skills regarding software engineering from a research perspective. \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/software-development-for-research-version-control-principles-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220225T100000
DTEND;TZID=America/Detroit:20220225T113000
DTSTAMP:20220105T185837Z
CREATED:20220105T185837Z
LAST-MODIFIED:20220105T185837Z
UID:10000546-1645783200-1645788600@micde.umich.edu
SUMMARY:Introduction to Stata: Data Manipulation
DESCRIPTION:This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: \nSection 1: The Basics of Stata – Interacting with Stata and working with data sets. (2/21\, 10:00 -11:30)\nSection 2: Data Management – The basics of maintaining and exploring a data set. (2/23\, 10:00-11:30)\nSection 3: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (2/25\, 10:00 – 11:30) \nYou do not need to attend all sessions; however\, the sessions build on each other and it will be assumed you are familiar with the material in earlier sessions. The workshop materials can be found at https://cscar.github.io/workshop-stata-intro/ for review. \nIt is strongly encouraged that you have Stata available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed.
URL:https://micde.umich.edu/event/introduction-to-stata-data-manipulation-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220224T140000
DTEND;TZID=America/Detroit:20220224T160000
DTSTAMP:20230217T195819Z
CREATED:20220131T212440Z
LAST-MODIFIED:20230217T195819Z
UID:10000555-1645711200-1645718400@micde.umich.edu
SUMMARY:Reading and discussion group: Spatial Analysis in Social Sciences
DESCRIPTION:This reading group moderated by consultants from CSCAR will focus on spatial analysis especially as practiced in social sciences. We will meet for 1.5 to 2 hours every month on the fourth Thursday and discuss one or two chapters from relevant graduate level textbooks. We will focus on the concepts and applications but will also try to discuss the technical details. The format is open-ended\, and the key objective is to support learning at different knowledge and skill levels. If there is interest\, we will also cover software implementation of techniques in R or Python. We will select reading material that is available via U-M library or freely accessible online. \nReadings – We will discuss the following chapters: \n\n(2) Chapter 3: Global and local indicators of spatial association (from Spatial Analysis using Big Data by Yoshiki Yamagata and Hajime Seya) \n\n(3) Chapter 3: Spatial autocorrelation and statistical inference (from Spatial Analysis for Social Science by David Darmofal) \n\nDigital versions of the above two books are available from the UM Library.
URL:https://micde.umich.edu/event/reading-and-discussion-group-spatial-analysis-in-social-sciences/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220223T100000
DTEND;TZID=America/Detroit:20220223T120000
DTSTAMP:20211217T181828Z
CREATED:20211217T181828Z
LAST-MODIFIED:20211217T181828Z
UID:10000542-1645610400-1645617600@micde.umich.edu
SUMMARY:Software Development For Research: Best Practices for Coding Styles
DESCRIPTION:Software development and computer programming is increasingly a major part of scientific research. Having a consistent coding style and following basic best practices used in the industry can help make your code easier to read and manage\, both internally in your teams and for public code projects available to other researchers. This workshop will cover some general guidelines and suggestions to clean up your coding style. Attendees will learn helpful tips for computer coding and how to make their code readable to other collaborators. \nThis is part of a series of workshops focused on both technical and soft skills regarding software engineering from a research perspective. \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/software-development-for-research-best-practices-for-coding-styles-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220223T100000
DTEND;TZID=America/Detroit:20220223T113000
DTSTAMP:20220105T185308Z
CREATED:20220105T185308Z
LAST-MODIFIED:20220105T185308Z
UID:10000545-1645610400-1645615800@micde.umich.edu
SUMMARY:Introduction to Stata: Data Management
DESCRIPTION:This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: \nSection 1: The Basics of Stata – Interacting with Stata and working with data sets. (2/21\, 10:00 -11:30)\nSection 2: Data Management – The basics of maintaining and exploring a data set. (2/23\, 10:00-11:30)\nSection 3: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (2/25\, 10:00 – 11:30) \nYou do not need to attend all sessions; however\, the sessions build on each other and it will be assumed you are familiar with the material in earlier sessions. The workshop materials can be found at https://cscar.github.io/workshop-stata-intro/ for review. \nIt is strongly encouraged that you have Stata available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed.
URL:https://micde.umich.edu/event/section-2-data-management/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220221T100000
DTEND;TZID=America/Detroit:20220221T113000
DTSTAMP:20220105T184745Z
CREATED:20220105T184745Z
LAST-MODIFIED:20220105T184745Z
UID:10000544-1645437600-1645443000@micde.umich.edu
SUMMARY:Introduction to Stata: The Basics of Stata
DESCRIPTION:This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: \nSection 1: The Basics of Stata – Interacting with Stata and working with data sets. (2/21\, 10:00 -11:30)\nSection 2: Data Management – The basics of maintaining and exploring a data set. (2/23\, 10:00-11:30)\nSection 3: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (2/25\, 10:00 – 11:30) \nYou do not need to attend all sessions; however\, the sessions build on each other and it will be assumed you are familiar with the material in earlier sessions. The workshop materials can be found at https://cscar.github.io/workshop-stata-intro/ for review. \nIt is strongly encouraged that you have Stata available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed.
URL:https://micde.umich.edu/event/introduction-to-stata-the-basics-of-stata-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220127T140000
DTEND;TZID=America/Detroit:20220127T160000
DTSTAMP:20230217T195803Z
CREATED:20220105T190817Z
LAST-MODIFIED:20230217T195803Z
UID:10000551-1643292000-1643299200@micde.umich.edu
SUMMARY:Reading and discussion group: Spatial Analysis in Social Science
DESCRIPTION:This reading group moderated by consultants from CSCAR will focus on spatial analysis especially as practiced in social sciences. We will meet for 1.5 to 2 hours every month on the fourth Thursday and discuss one or two chapters from relevant graduate level textbooks. We will focus on the concepts and applications but will also try to discuss the technical details. The format is open-ended\, and the key objective is to support learning at different knowledge and skill levels. If there is interest\, we will also cover software implementation of techniques in R or Python. We will select reading material that is available via U-M library or freely accessible online. \nReadings – For the first meeting scheduled on Jan 27th\, we will discuss the following chapters: \n(1) Chapter 2: Defining neighbors via a spatial weight matrix (from Spatial Analysis for Social Science by David Darmofal) \n(2) Chapter 3: Global and local indicators of spatial association (from Spatial Analysis using Big Data by Yoshiki Yamagata and Hajime Seya) \n(3) Chapter 3: Spatial autocorrelation and statistical inference (from Spatial Analysis for Social Science by David Darmofal) \nDigital versions of the above two books are available from the UM Library.
URL:https://micde.umich.edu/event/reading-and-discussion-group-spatial-analysis-in-social-science/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20220110T130000
DTEND;TZID=America/Detroit:20220110T160000
DTSTAMP:20230217T195800Z
CREATED:20211213T194126Z
LAST-MODIFIED:20230217T195800Z
UID:10000541-1641819600-1641830400@micde.umich.edu
SUMMARY:3D Visualization Software: Introduction to Unreal Engine and C++
DESCRIPTION:This is part of a series of workshops covering 3D game engines and animation software for research and data visualization. Registration to previous parts of this series is not required. \nUnreal Engine is a popular game engine among professional industries and game studios. It is also increasingly used for “serious” applications that require interactive 3D graphics and visualizations. Today\, Unreal Engine is available for free for creators not producing paid-for products. \nIn this workshop\, we’ll introduce the Unreal Engine workspace from a beginner’s perspective\, and prepare a simple data visualization with the interface\, including an introduction to its C++ workflow. Users will gain a basic understanding of the software\, and will be prepared to continue advanced training or to build simple examples in the software. \nA basic familiarity with any programming language (C++ will be used during the session) is recommended to get the most out of the workshop. Prior experience with any other 3D workspace for games\, animation\, visualization or science is encouraged. To take part\, users will be responsible to use their own laptop with Unreal Engine (available for Windows\, Macintosh and Linux\, but Windows is recommended) pre-installed. At this time\, Unreal Engine 4 is planned to be used\, pre-registered attendees will received a confirmation email about the version before the event. \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/3d-visualization-software-introduction-to-unreal-engine-and-c/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211129T110000
DTEND;TZID=America/Detroit:20211129T123000
DTSTAMP:20230217T195758Z
CREATED:20211104T152416Z
LAST-MODIFIED:20230217T195758Z
UID:10000539-1638183600-1638189000@micde.umich.edu
SUMMARY:Introduction to Google Earth Engine - II
DESCRIPTION:Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. The instant availability of data\, massive compute power\, and well-developed API make it a very convenient and powerful platform for geospatial analysis. \nGEE provides native APIs in JavaScript and Python. However\, recently the user community has developed a package “rgee (https://github.com/r-spatial/rgee)” that allows R users to interact with GEE (via reticulate and Python) and utilize its functionalities. \nThis workshop will focus on using R (the “rgee” package) to interface with GEE and utilize its power for ultra-fast geospatial analysis. You should attend the first workshop on November 18\, if you are new to GEE. \nSome familiarity with remote sensing and GIS\, and exposure to raster and vector data analysis will be helpful.  You will need to register (free) at signup.earthengine.google.com with Google to use the Earth Engine. Please use your UM email account to register.
URL:https://micde.umich.edu/event/introduction-to-google-earth-engine-ii/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211118T140000
DTEND;TZID=America/Detroit:20211118T153000
DTSTAMP:20230217T195758Z
CREATED:20211104T161931Z
LAST-MODIFIED:20230217T195758Z
UID:10000538-1637244000-1637249400@micde.umich.edu
SUMMARY:Introduction to Google Earth Engine - I
DESCRIPTION:Google Earth Engine (GEE) combines a multi-petabyte catalog of satellite imagery and geospatial datasets with planetary-scale analysis capabilities. The instant availability of data\, massive compute power\, and well-developed API make it a very convenient and powerful platform for geospatial analysis. \nGEE provides native APIs in JavaScript and Python. However\, recently the user community has developed a package “rgee (https://github.com/r-spatial/rgee)” that allows R users to interact with GEE (via reticulate and Python) and utilize its functionalities. \nThe two hands-on workshops will introduce GEE and show how to leverage its capacity for spatiotemporal analysis and visualization in R. The first workshop (November 18) is an introduction to GEE and we will primarily use JavaScript API to learn the basics of GEE. The second workshop (November 22) will focus on using R (the “rgee” package) to interface with GEE and utilize its power for ultra-fast geospatial analysis. \nSome familiarity with remote sensing and GIS\, and exposure to raster and vector data analysis will be helpful.  You will need to register (free) at signup.earthengine.google.com with Google to use the Earth Engine. Please use your UM email account to register.
URL:https://micde.umich.edu/event/introduction-to-google-earth-engine-i/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211115T130000
DTEND;TZID=America/Detroit:20211115T160000
DTSTAMP:20230217T195732Z
CREATED:20210805T231101Z
LAST-MODIFIED:20230217T195732Z
UID:10000505-1636981200-1636992000@micde.umich.edu
SUMMARY:3D Visualization Software: Advanced Graphics Optimization with Unity3D and C# (Part 3)
DESCRIPTION:This is part of a series of workshops covering 3D game engines and animation software for research and data visualization. Registration to all parts of this series is not required\, but each workshop will expect a different level of experience\, which will be acquired if the viewer attends all events. \nModern 3D game engines and computer hardware can render convincing graphics\, rivaling that of pre-rendered 3D animations. But video games still require special optimization techniques and tricks. This relates directly to the perceived capabilities for data visualization and serious applications: we can generate and render thousands of interactive objects in a game engine. But what about millions? \nThis workshop will go over different techniques to render as many objects as possible at once in Unity3D\, with the context of visualizing data as a point-cloud. Examples will include (but not be limited to) GPU Instancing\, Unity’s Particle System\, and Compute Shaders. It is strongly recommended that attendees be familiar with Unity3D prior to this workshop to get the most out of the session. The examples shown will be provided to registered users to try with a installation of Unity3D (if trying on your own machine\, you will need to install Unity3D in advance). \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/3d-visualization-software-advanced-graphics-optimization-with-unity3d-and-c-part-3/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211108T130000
DTEND;TZID=America/Detroit:20211108T160000
DTSTAMP:20230217T195731Z
CREATED:20210805T230234Z
LAST-MODIFIED:20230217T195731Z
UID:10000504-1636376400-1636387200@micde.umich.edu
SUMMARY:3D Visualization Software: Introduction to Blender3D and Python
DESCRIPTION:This is part of a series of workshops covering 3D game engines and animation software for research and data visualization. Registration to all parts of this series is not required\, but each workshop will expect a different level of experience\, which will be acquired if the viewer attends all events. \nBlender3D is a popular free and open-source alternative to industry-standard software\, to create high-quality 3D models and export 3D animations. In recent years\, it’s received financial backing from important industry leaders\, and is more advanced than ever. In addition to film and video games\, Blender3D can be used to create models for 3D printing\, virtual and augmented reality\, and even data visualization\, thanks in part to its open-source nature\, support for a variety of industry-standard file formats\, and support for Python scripting to automate tasks and customize tools. \nIn this workshop\, we’ll introduce the Blender interface and use Blender and Python to programmitcally generate a large 3D mesh from a dataset. Users will become familiar with the basic functions of the software\, and will become comfortable to learn more and use it for high-quality data visualizations. \nA basic familiarity with any computer programming language (Python will be used during the session) is recommended to get the most out of the workshop. To take part\, users will be responsible to use their own laptop with Blender3D (available for Windows\, Macintosh and Linux) pre-installed. Additional project files will be provided to registered users ahead of the workshop date. \nPlease register at least 48 hours in advance.
URL:https://micde.umich.edu/event/3d-visualization-software-introduction-to-blender3d-and-python/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211104T140000
DTEND;TZID=America/Detroit:20211104T160000
DTSTAMP:20230217T195740Z
CREATED:20210819T173139Z
LAST-MODIFIED:20230217T195740Z
UID:10000517-1636034400-1636041600@micde.umich.edu
SUMMARY:Improving the performance of scientific software\, or "Do I really need to learn C++?"
DESCRIPTION:This is a continuation of the workshop “Introduction to performance analysis of scientific software“.  Now\, we know how to measure overall performance of our software and can make a good guess of the main performance bottleneck.  How can we improve the performance?  Do we really need to rewrite the whole program in a different language?  In this workshop\, we will observe and discuss various methods of performance improvement\, such as using optimized libraries\, multi-language development\, and choosing appropriate algorithms.  In the end\, you will know how to leverage the power of better algorithms and closer-to-metal languages to improve the performance of your software without a total rewrite or hardware upgrades. \nIt is recommended to attend “Introduction to performance analysis of scientific software” workshop prior to this one.  Participants are expected to know the basics of programming in some (any!) programming language. Some familiarity with the Unix command line and Python language would be helpful\, but is not required. If you wish to follow hands-on demonstrations\, you will need to use your own computer and have a UMich account.
URL:https://micde.umich.edu/event/improving-the-performance-of-scientific-software-or-do-i-really-need-to-learn-c/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Detroit:20211029T130000
DTEND;TZID=America/Detroit:20211029T143000
DTSTAMP:20210923T203358Z
CREATED:20210923T203358Z
LAST-MODIFIED:20210923T203358Z
UID:10000531-1635512400-1635517800@micde.umich.edu
SUMMARY:Introduction to Stata: Data Manipulation
DESCRIPTION:This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: \nSection 1: The Basics of Stata – Interacting with Stata and working with data sets. (10/25\, 1-2:30) \nSection 2: Data Management – The basics of maintaining and exploring a data set. (10/27\, 1-2:30) \nSection 3: Data Manipulation – Creating and modifying variables and other ways of manipulating your data. (10/29\, 1-2:30) \nYou do not need to attend all sessions; however\, the sessions build on each other and it will be assumed you are familiar with the material in earlier sessions. The workshop materials can be found at https://cscar.github.io/workshop-stata-intro/ for review. \nIt is strongly encouraged that you have Stata available on your local computer\, though not required. You may access Stata through midesktop (https://midesktop.umich.edu/) if needed.
URL:https://micde.umich.edu/event/introduction-to-stata-data-manipulation-2/
LOCATION:Your Desktop
CATEGORIES:Workshops
END:VEVENT
END:VCALENDAR