Workshop 1a: Introduction to Epistemic Network Analysis

Yeyu Wang, Yixin Cheng, Brendan Eagan

This workshop introduces the participants to the basics of the Epistemic Network Analysis (ENA). The goal of the workshop is to learn how to use the ENA web tool independently, and how to develop and interpret ENA graphs. The workshop consists of three parts: 1) theory, 2) step-by-step tutorial, and 3) group work. The topics of the first part are the differences between social network analysis and ENA, and data coding challenges. In the second part, the participants are introduced to the ENA web tool. Lastly, the participants put their newly acquired skills into practice in the group work exercises.

Workshop 1b: Advanced Epistemic Network Analysis using rENA

Yuanru Tan, Jonathan Sun, Zach Swiecki, Xunyi Gao (Annie)

In this workshop, we will introduce participants to advanced features of epistemic network analysis (ENA) available in the rENA package for R, including weighted models, projection, masking, and trajectories. Our emphasis will be on how to implement the features, as well as how to determine whether they should be used. The workshop will culminate with an rENA analysis using ENA outputs in a subsequent technique, such as regression. Familiarity with ENA theory, the webtool, and rENA is preferred; however, we will provide brief overviews of each. We will also provide an R script for participants to use as a reference during and after the workshop.

Workshop 1c: Participatory Quantitative Ethnography: Exploring New Possibilities

Hazel Vega Quesada, Golnaz Arastoopour Irgens, Tolulope Famaye and Caitlin Lancaster

This interactive workshop will introduce participants to Connect, a tool that draws on principles of Epistemic Network Analysis (ENA) to facilitate the co-interpretation of discourse data between researchers and participants. Also, participants will discuss conundrums and perspectives about participatory approaches in quantitative ethnography (QE) and how they have integrated them into their research or plan to do it in future projects.

Workshop 2a: Introduction to Automated Coding in QE

Yuanru Tan, Cody Marquart, Zhiqiang (Carl) Cai

This workshop will introduce methods for valid and reliable automated coding of text data using QE tools. During the workshop, participants will work individually and in teams to step through the process of creating an automated and validated code. In this interactive workshop, participants will learn how to (1) combine qualitative and quantitative perspectives for text analysis, (2) create codebooks for code validation and publication, (3) develop and test automated classifiers to code text data, and (4) validate automated coding schemes. We will also provide an R script for participants who wish to use the R package version of this technique.

Workshop 2b: Writing Custom ENA Rotations in the Julia Programming Language

Mariah A. Knowles, Jenn Scianna, Sarah Stevens, Jodi Masters-Gonzales, Alex Punguil Bravo

Epistemic Network Analysis remains a flexible tool in Quantitative Ethnography for understanding high-dimensional discourse data, in part by providing researchers multiple “rotations” for highlighting features of interest in one’s data. We propose a tutorial workshop on choosing the right rotation for the job and developing new rotations open-source in the Julia programming language. Learners at all levels welcome.

For this workshop you'll need:

• Your laptop, setup as described below so we can hit the ground running
• Laptop charger
• A can-do attitude and an unshakeable curiousity
• Any data you would like to work on, help thinking about, etc.

Prerequisites:

• All learners welcome!
• You should already be familiar with ENA. If you aren't, the morning "Introduction to Epistemic Network Analysis" workshop before ours is a great place to start!
• You should have at least a beginner's understanding of one programming language. If you don't, Kaggle's Intro to Programming is a great place to start!
• You do not need experience with Julia or VS Code. We will introduce them as necessary during the workshop

Workshop 2c: Advanced Epistemic Network Analysis (ENA) Interpretations

David Williamson Shaffer, Amanda Barany

The goal of this workshop is to introduce participants to the advanced functions of epistemic network analysis available in the online web tool, including the features of weighted models, projection, masking, and trajectories. Using a worked example, we will illustrate ways to implement these features and discuss how to determine when they should be applied. The workshop concludes with an in-depth discussion of the mathematical processes behind epistemic networks, including the creation of adjacency matrices, matrix accumulation, spherical normalization, dimensional reduction, and positioning network nodes.