Vibes to Variables
An open educational resource guiding undergrads through a complete research project — from curiosity to a reproducible study — using a real dataset of 1,792 songs. Built with Quarto.
View on GitHubSIM Lab @ SIUE
01 — Tools & Resources
The SIM Lab creates open educational resources, research instruments, and practical tools — built to support students and academics in the Mass Communications department at SIUE.
An open educational resource guiding undergrads through a complete research project — from curiosity to a reproducible study — using a real dataset of 1,792 songs. Built with Quarto.
View on GitHubThe companion R package for MC-451 Research Methods. Bundles the Vibes to Variables textbook chapters, weekly assignment templates, and a curated music dataset for hands-on methods instruction.
View on GitHubA browser-based qualitative research tool for video annotation and codebook generation. Paste transcripts or YouTube links, apply grounded codes, and export structured Markdown codebooks — no server required.
Launch AppA self-contained, single-file Grounded Theory coding environment. Paste data, apply open codes, collapse to axial and selective codes, and export structured codebooks — no installation or backend required.
Launch AppAn interactive SvelteKit dashboard mapping Mass Communications career paths, salary data, and skill requirements — built to help students plan their professional trajectories.
View on GitHubA web application for managing and reserving production equipment for SIUE Mass Communications students — built with TypeScript to streamline departmental gear logistics.
View on GitHubAn interactive, GSAP-animated guide to common mass communication theories — designed to help students identify and understand an appropriate theory for their research project.
Launch AppThe MC Research Methods course website for MC-451 at SIUE, including an integrated Obsidian vault (mc451-liaison-program) for guided research methods instruction.
View on GitHubR-based data and analysis underlying the peer-reviewed Hate Raids paper — examining coordinated harassment campaigns on Twitch using computational text analysis methods.
View on GitHubA Python tool for testing Word documents or PDF submissions against a configurable list of prohibited terms — built for instructional and academic content-review workflows.
View on GitHub