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Merge pull request #1 from iulusoy/copilot/setup-centralized-repo-workshop
Set up Jekyll GitHub Pages with markdown-managed content and CI/CD deployment
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‎.github/workflows/pages.yml‎

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name: Deploy to GitHub Pages
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on:
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push:
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branches:
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- main
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workflow_dispatch:
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permissions:
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contents: read
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pages: write
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id-token: write
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concurrency:
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group: "pages"
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cancel-in-progress: false
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jobs:
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build:
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runs-on: ubuntu-latest
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steps:
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- name: Checkout
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uses: actions/checkout@v4
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- name: Setup Ruby
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uses: ruby/setup-ruby@v1
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with:
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ruby-version: '3.3'
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bundler-cache: true
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- name: Setup Pages
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id: pages
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uses: actions/configure-pages@v5
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- name: Build with Jekyll
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run: bundle exec jekyll build --baseurl "${{ steps.pages.outputs.base_path }}"
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env:
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JEKYLL_ENV: production
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- name: Upload artifact
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uses: actions/upload-pages-artifact@v3
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deploy:
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environment:
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name: github-pages
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url: ${{ steps.deployment.outputs.page_url }}
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runs-on: ubuntu-latest
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needs: build
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steps:
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- name: Deploy to GitHub Pages
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id: deployment
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uses: actions/deploy-pages@v4

‎Gemfile‎

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source "https://rubygems.org"
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gem "jekyll", "~> 4.3"
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gem "minima", "~> 2.5"
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group :jekyll_plugins do
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gem "jekyll-feed", "~> 0.12"
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end
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# Windows and JRuby does not include zlib by default, so we need to
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# install the ruby gem on Windows and JRuby to avoid Bundler/Jekyll errors.
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platforms :mingw, :x64_mingw, :mswin, :jruby do
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gem "tzinfo", ">= 1", "< 3"
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gem "tzinfo-data"
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end
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# Performance-booster for watching directories on Windows
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gem "wdm", "~> 0.1.1", :platforms => [:mingw, :x64_mingw, :mswin]
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# Lock `http_parser.rb` gem to `v0.6.x` on JRuby builds since newer versions
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# of the gem do not have a Java counterpart.
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gem "http_parser.rb", "~> 0.6.0", :platforms => [:jruby]

‎_config.yml‎

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title: Workshop on AI-supported Research Software Engineering
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description: >-
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A workshop on AI-supported Research Software Engineering (RSE) —
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organization, tools, and best practices.
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url: "https://iulusoy.github.io"
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baseurl: "/workshop-AI-supported-RSE-Sept26"
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theme: minima
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# Navigation pages
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header_pages:
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- index.md
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- program.md
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- speakers.md
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- registration.md
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# Build settings
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markdown: kramdown
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plugins:
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- jekyll-feed
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exclude:
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- Gemfile
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- Gemfile.lock
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- node_modules
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- vendor

‎index.md‎

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---
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layout: home
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title: Home
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nav_order: 1
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---
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# Workshop on AI-supported Research Software Engineering
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**Date:** September 26, 2025
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**Location:** TBD
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Welcome to the workshop on AI-supported Research Software Engineering (RSE). This workshop brings together researchers and software engineers to explore how artificial intelligence tools can support and enhance research software development practices.
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## About the Workshop
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AI tools are rapidly changing how we write, document, test, and maintain research software. This workshop provides hands-on experience with state-of-the-art AI coding assistants, discusses best practices for integrating AI into RSE workflows, and fosters community exchange among participants.
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## Topics Covered
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- AI-assisted code generation and review
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- Automated documentation and testing
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- AI tools for reproducibility and sustainability
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- Ethical considerations in AI-supported RSE
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## Quick Links
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- [Program](/workshop-AI-supported-RSE-Sept26/program/)
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- [Speakers](/workshop-AI-supported-RSE-Sept26/speakers/)
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- [Registration](/workshop-AI-supported-RSE-Sept26/registration/)

‎program.md‎

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---
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layout: page
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title: Program
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permalink: /program/
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nav_order: 2
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---
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# Workshop Program
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*Details will be updated closer to the event date.*
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## Schedule — September 26, 2025
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| Time | Session |
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|------|---------|
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| 09:00 – 09:15 | Welcome and Introduction |
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| 09:15 – 10:00 | Keynote: AI Tools in Research Software Engineering |
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| 10:00 – 10:30 | Coffee Break |
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| 10:30 – 12:00 | Hands-on Session 1: AI-assisted Code Generation |
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| 12:00 – 13:00 | Lunch Break |
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| 13:00 – 14:30 | Hands-on Session 2: Automated Testing and Documentation |
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| 14:30 – 15:00 | Coffee Break |
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| 15:00 – 16:00 | Panel Discussion: Best Practices for AI-supported RSE |
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| 16:00 – 16:30 | Wrap-up and Next Steps |
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## Session Descriptions
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### Keynote: AI Tools in Research Software Engineering
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An overview of the current landscape of AI coding assistants and their applicability to research software development.
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### Hands-on Session 1: AI-assisted Code Generation
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Participants will work with AI coding assistants to generate, review, and improve research code snippets.
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### Hands-on Session 2: Automated Testing and Documentation
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Explore how AI tools can help create tests and documentation for existing research software.
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### Panel Discussion: Best Practices for AI-supported RSE
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A moderated discussion on integrating AI tools responsibly and effectively into RSE workflows.

‎registration.md‎

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---
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layout: page
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title: Registration
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permalink: /registration/
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nav_order: 4
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---
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# Registration
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*Registration details will be announced closer to the event.*
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## How to Register
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Registration information including fees, deadlines, and the registration form will be provided here once available.
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## Target Audience
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This workshop is aimed at:
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- Research Software Engineers
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- Researchers who develop or maintain software as part of their work
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- Anyone interested in applying AI tools to improve research software quality and sustainability
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## Contact
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For questions about registration or the workshop in general, please open an issue in the [GitHub repository](https://github.com/iulusoy/workshop-AI-supported-RSE-Sept26).

‎speakers.md‎

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---
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layout: page
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title: Speakers
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permalink: /speakers/
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nav_order: 3
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---
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# Speakers
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*Speaker details will be announced closer to the event.*
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We are pleased to invite contributions from researchers and practitioners in the field of Research Software Engineering and AI-assisted development. If you are interested in presenting, please get in touch via the [registration page](/workshop-AI-supported-RSE-Sept26/registration/).
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## Confirmed Speakers
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*To be announced.*
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## Call for Contributions
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We welcome presentations, demos, and lightning talks on topics including:
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- AI tools for software development in research contexts
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- Case studies of AI-assisted RSE in practice
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- Challenges and limitations of current AI coding assistants
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- Reproducibility and sustainability of AI-generated code
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- Ethical and social aspects of AI in research software

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