Programming
Teaching Tools
To support hands-on learning, I have been developing an interactive web application, named Experimental Research & Observational Learning (EROL) Application, (though currently in an experimental phase) that would allow students to conduct statistical analyses without programming barriers, making quantitative methods in political science more accessible across different technical backgrounds.
Network Access Information
The EROL.app is currently hosted on Hugging Face Spaces. Please note that some institutional networks may restrict access to external platforms such as Hugging Face domains or non-standard ports. If you experience such connection issues while trying to access the application:
University/School Networks:
- Contact your IT department and request access to
huggingface.coandhf.spacedomains for educational purposes. - Emphasize that this is a statistical analysis tool for academic research and coursework.
For IT Departments: This application is an educational tool for statistical analysis in political science coursework, hosted on Hugging Face Spaces (a legitimate academic platform). The application uses port 7860 and requires access to *.hf.space domains.
Performance and Local Installation
Server Performance: The hosted application may experience slower performance or occasional lag due to shared server resources. For a more responsive experience, users can run the application locally using one of the following methods:
Option 1: Docker (Recommended)
docker run -it -p 7860:7860 --platform=linux/amd64 \
registry.hf.space/fatiherol-erol-app:latestAfter running this command, access the application at http://localhost:7860
Option 2: Run from Source Code
- Clone the repository:
git clone https://github.com/ferol15/EROL.app.git - Open the project in RStudio or R
- Install required packages and run the application locally
For the source code, visit: GitHub Repository