Would you like to be able to move, share or publish your software without worrying whether it will work properly on other computers? Containerization is an OS-level virtualization method used to deploy and run distributed applications without launching an entire virtual machine for each app. Containers are "stand-alone", enabling workflows to be easily packaged and shared across platforms, enhancing reproducibility and portability.

Would you like to be able to move, share or publish your software without worrying whether it will work properly on other computers? Containerization is an OS-level virtualization method used to deploy and run distributed applications without launching an entire virtual machine for each app. Containers are "stand-alone", enabling workflows to be easily packaged and shared across platforms, enhancing reproducibility and portability.

Research creates millions of data and datasets. It's possible a specific dataset may already exist and reusing data may streamline and save time on research projects. This workshop will tour some of the data sources and databases to look for these data as well as how to evaluate, reuse, and cite existing data. Attendees are welcome to bring their current searches for data!

This 2-hour workshop will provide examples of how to parallelize your R workflow so that it uses multiple CPU cores on your laptop or on a supercomputer to speed up your code. If you have "foreach" loops or matrix operations in your R code, chances are you can parallelize it.

Prerequisites: Minimal coding experience preferred, but open to all levels. Please have R, RStudio, and the tidyverse package installed on a personal laptop.

R Workshop Series - Social Network Analysis in R
This 2-hour workshop will serve as an introduction ot netwrok analysis in R and is the sixth of a multi-part R workshop series. We will start off with explaining basic definitions relevant to networks. From there we will learn how to calculate, interpret, and visualize different measures of importance. Among these are centrality, closeness, and betweenness. Finally, we will cover po;ular methods of community detection and simulation.

R Workshop Series - Structural Equation Modeling in R
This 2-hour workshop will serve as an introduction to Structural Equation Modeling in R, and is the sixth of a multi-part R workshop series. We will cover Structural Equation Modeling concepts and use cases.

Prerequisites: Minimal coding experience preferred , but open to all levels. Please have R, RStudio, and the tidyverse package installed on a personal laptop.

Getting started on a High Performance Computing cluster can be a daunting task for the uninitiated. Join us in this two part course where we will alleviate your issues by going over the basics! Part 2 of this series will discuss general job scheduling. Topics will include: basic job dispatch, job accounting, job priority and more!

If you love GIS, Python, and Free and Open Source Software, then GeoPandas is for you. GeoPandas is an extension of the popular Python package Pandas that reads, writes, and analyzes vector geospatial data formats of all types. In this workshop we will introduce GeoPandas and how to perform basic geospatial operations using Python code.

Data Visualization the Ultimate Level: Follow Up Bonus Clinic For participants in the two part “Data Visualization the Ultimate Level” workshop you may join in and ask questions from the workshop, other facets of Resolve, storytelling, asset prep, working with your data, listening to others questions, or whatever you want related to this workshop series. This one is all about you!

Built by JSTOR Labs, Juncture is a free-to-use, open source framework for creating engaging visual essays and static websites. A visual essay is an interactive and responsive web page that augments a text narrative with immersive elements to provide depth and context for your scholarship. With Juncture you can create a single essay or build a full website consisting of multiple visual essays with navigation, and simple customizations.