Visualization, process tracing, and visualization
Three short workshops, three days each. In addition to our popular Process Tracing workshop, we have two different visualization options using R, one focusing on ggplot2 and static images, the other using Shiny to make interactive graphics. And if those terms went just a little over your head, we totally get it, and we made a number of Introduction to R courses to help out! See our full course schedule for those, but for now we would like to feature these short workshops:
Interactive Visualization, Dashboard, and Apps with R and Shiny (May 27-29)
Instructor: David Armstrong, Western University
This course is ideal for instructors who want to bring more interactivity to their classroom examples. It is also well-suited for researchers who want to disseminate web-based interactive graphics and analytics to their readers. Finally, this would be a good introduction for staff from organizations who want to deliver visualizations and analytics to clients and stakeholders who may not have the capability to generate the results themselves.
Process Tracing in Qualitative and Mixed Methods Research (May 27-29)
Instructors: Derek Beach, Aarhus Universitet
Process tracing is a research method designed to learn how things work in real-world cases. Increasingly used across the social sciences and in applied policy evaluation, process tracing involves unpacking a causal process in a case and tracing how it worked empirically, enabling strong within-case inferences about causal processes.
The aim of this intensive three-day course is to provide participants with a good working understanding of the core elements of process tracing as a distinct social science case study method, enabling you to utilize it in your own research either as a stand-alone method or in combination with other methods in multi-method designs such as experiments or small/medium-n comparisons using Qualitative Comparative Analysis. The course will combine lectures and discussions with group work on exercises and individual work using your own research.
Social Science Data and Model Visualization in R (May 27-29)
Instructor: Boris Shor, University of Houston
This course will introduce social science students to modern methods of exploring and communicating data to a variety of audiences. The primary tools will be the R statistical programming language, RStudio as a development environment, and the tidyverse family of R packages (especially ggplot2) for visualization. The object will be to enable students to feel confident in descriptively exploring their data, communicating that to scholarly and outside audiences, and communicating inferential results for presentation and paper writing purposes. Throughout, good workflow practices for scientific writing will be emphasized.
REMINDER: All 2020 Summer Program courses are being offered virtually!