Spring Digital Scholarship Workshops @ KSL

A hands-on introduction to making maps in R. We will look at preparing data and mapping using the choroplethr and ggmap packages. No experience necessary!

Whatever your area of interest, GIS can be for you. Geographic Information Systems (GIS) enables everyone to transform data into maps and enhance your research via geospatial methods. This workshop is designed to introduce the basic principle of GIS and its supporting software so that everyone can start integrating GIS into their own academic and professional pursuits.

What is text analysis? What are the methods? What are the tools? What does this mean for my discipline?!? We will explore these big questions! There will be 15 minutes at the end for Q&A. Snacks and coffee provided!

A hands-on introduction to using python for exploring a set of texts. We will explore several language processing packages and demonstrate simple ways that text analysis can be used to aid academic inquiry. No experience necessary!

Making 3D models is surprisingly easy with photogrammetry. Learn the principles of the process and make your own 3D model in as little as one hour just using your phone camera and the workstations at the Freedman Center for Digital Scholarship in Kelvin Smith Library.

Network analysis helps us model connections and relationships between entities. From epidemiology to economics to literature, network analysis can reveal the invisible landscape of information and influence within a population or collection of objects. Learn the basics and get started applying network analysis in your own studies with this workshop.

What is data? How do I get it? Even more important, how do I find data relevant to my academic interests?! We’ll look at a variety of data types and sources and discuss how you can begin your search for relevant data. There will be 15 minutes at the end for Q&A. Snacks and coffee provided!

Do you have a dataset? Don’t know where to start? Need to clean it up? Maps? Graphs? Text Analysis? Stop by our BYOD (Bring Your Own Data) workshop and we explore the possibilities!

Explore the history of mapping data, the reasons to try it and tools that make it accessible. We will look at R and several other tools. There will be 15 minutes at the end for Q&A. Snacks and coffee provided!