Events

Software Development For Research: Best Practices for Coding Styles

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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 […]

Reading and discussion group: Spatial Analysis in Social Sciences

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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 […]

Introduction to Stata: Data Manipulation

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This is a series of workshops designed to introduce participants to the Stata software. No prior experience with Stata is required. The sections are: Section 1: The Basics of Stata – Interacting with Stata and working with data sets. (2/21, 10:00 -11:30) Section 2: Data Management – The basics of maintaining and exploring a data […]

Software Development For Research: Version Control Principles

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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 […]

Reading and discussion group: Spatial Analysis in Social Sciences

Your Desktop

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 […]

Software Development For Research: Git for Collaborative Development

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This is a continuation of the previous workshop "Software Development For Research: Version Control Principles". Now, 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 […]

Software Development For Research: Team-Based Programming Management

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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 […]

Data Scraping With The Twitter Decahose At The University of Michigan

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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. This workshop covers what the Twitter Decahose is, the process to obtain access, […]

Introduction to Julia for Statisticians and Data Scientists – Day 1

Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

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 […]

Introduction to Julia for Statisticians and Data Scientists Day #2

Rackham Building, Earl Lewis Room, 3rd Floor East 915 E. Washington St., Ann Arbor, MI, United States

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 […]