Fabio Giglietto's Academic Website

A sophisticated, AI-powered academic portfolio website featuring automated data collection, intelligent content generation, and modern web design. This Jekyll-based site showcases research publications, web mentions, teaching activities, and curated reading lists with real-time updates.

🌐 Live Site: fabiogiglietto.github.io

✨ Key Features

🤖 AI-Powered Content Generation

• Automated Biography: Weekly AI-generated bio using aggregated academic data
• Dynamic Web Mentions: Real-time discovery of third-party research references via OpenAI web search
• Smart Content Curation: Intelligent filtering and deduplication of academic content

📊 Multi-Source Data Integration

• Publications: Aggregated from ORCID, Google Scholar, Scopus, Web of Science, and Semantic Scholar
• Social Media: LinkedIn and Mastodon activity integration
• Reading List: Automated sync from toread repository
• Teaching Data: University course information with AI enhancement

🎨 Modern Web Interface

• Responsive Design: Optimized for desktop, tablet, and mobile
• Interactive Carousels: Instagram-style paper browsing with smooth animations
• Clean Typography: Professional academic presentation with excellent readability
• Accessibility: WCAG-compliant design with proper semantic markup

⚡ Automated Workflows

• Daily Updates: Core data collection (publications, social media, web mentions)
• Weekly Bio Refresh: AI-generated biography updates every Monday
• Monthly Teaching Updates: Course and academic information refresh on the 1st
• Smart Scheduling: Optimized API usage with conditional execution

🛠️ Technology Stack

• Frontend: Jekyll, HTML5, CSS3, JavaScript
• Backend: Node.js data collectors and generators
• AI Integration: OpenAI GPT-4 for content generation and web search
• APIs: Multiple academic and social platforms
• Deployment: GitHub Pages with automated workflows
• Hosting: GitHub Actions for CI/CD

🚀 Local Development

Prerequisites

• Node.js (v18+)
• Ruby (for Jekyll)
• Bundler

Setup Instructions

1. Clone the repository

   git clone https://github.com/fabiogiglietto/fabiogiglietto.github.io.git
   cd fabiogiglietto.github.io
   

2. Install dependencies

   npm install
   bundle install
   

3. Configure environment variables

   cp .env.example .env
   # Edit .env with your API keys (see API Keys section)
   

4. Collect initial data

   npm run collect
   

5. Start development server

   npm run serve
   # or
   bundle exec jekyll serve
   

6. Visit the site

   • Local: http://localhost:4000
   • Live reload enabled for development

🔑 API Keys Configuration

Required APIs

Local Development Setup

Create a .env file in the project root:

# Required for AI features
OPENAI_API_KEY=sk-proj-...

# Publication APIs
SCOPUS_API_KEY=your-scopus-key
WOS_API_KEY=your-wos-key
S2_API_KEY=your-semantic-scholar-key

# Social Media APIs (optional)
LINKEDIN_ACCESS_TOKEN=your-linkedin-token
LINKEDIN_PERSON_ID=your-person-id
MASTODON_ACCESS_TOKEN=your-mastodon-token

GitHub Actions Setup

Add these secrets to your repository settings:

1. Navigate to Settings > Secrets and variables > Actions
2. Add each API key as a repository secret:
   • OPENAI_API_KEY
   • SCOPUS_API_KEY
   • WOS_API_KEY
   • S2_API_KEY
   • LINKEDIN_ACCESS_TOKEN
   • LINKEDIN_PERSON_ID
   • MASTODON_ACCESS_TOKEN

📅 Automated Workflows

Daily Updates (6 AM UTC)

• Publication data collection from all sources
• Social media content aggregation
• Web mentions discovery and filtering
• Social media insights generation

Weekly Updates (Monday 6 AM UTC)

• AI-generated biography refresh using latest research data
• About Me section content update

Monthly Updates (1st of month, 6 AM UTC)

• Teaching data regeneration
• Course information updates

Manual Triggers

All workflows can be triggered manually via GitHub Actions interface for immediate updates.

🎯 Content Sections

📚 FG's #toread

• Source: toread repository
• Features: Interactive carousel, paper metadata, direct JSON access
• Updates: Real-time sync with reading list repository

🌐 Recent Web Mentions

• Source: OpenAI web search across academic platforms
• Filtering: Excludes self-authored content, focuses on third-party references
• Quality: Only authoritative sources (universities, journals, conferences)

📄 Publications

• Sources: ORCID, Google Scholar, Scopus, Web of Science, Semantic Scholar
• Features: Deduplication, citation metrics, multiple export formats
• Updates: Daily aggregation and intelligent merging

🎓 Teaching

• Source: University databases with AI enhancement
• Features: Course descriptions, academic calendar integration
• Updates: Monthly refresh of course information

🔧 Available Scripts

# Data Collection
npm run collect                    # Full data collection
npm run generate-about            # AI biography generation
npm run generate-teaching         # Teaching data generation
npm run generate-social-insights  # Social media analysis

# Development
npm run serve                     # Start Jekyll development server
npm run build                     # Build static site

# Jekyll Commands
bundle exec jekyll serve          # Alternative development server
bundle exec jekyll build          # Alternative build command

📁 Project Structure

fabiogiglietto.github.io/
├── _includes/                    # Jekyll includes
│   ├── generated-about.html      # AI-generated biography
│   ├── web-mentions.html         # Web mentions section
│   ├── toread-papers.html        # Reading list carousel
│   └── ...
├── _layouts/                     # Jekyll layouts
├── _data/                        # Jekyll data files
├── assets/                       # CSS, JS, images
│   ├── css/main.css             # Main stylesheet
│   └── js/main.js               # Site JavaScript
├── scripts/                      # Data collection & generation
│   ├── collectors/              # API data collectors
│   ├── generators/              # Content generators
│   └── collect-all.js           # Main collection script
├── public/data/                  # Generated data files
├── .github/workflows/            # GitHub Actions
└── ...

🤝 Contributing

This is a personal academic website, but contributions for improvements are welcome:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• OpenAI for GPT-4 integration and web search capabilities
• Jekyll for the static site generation framework
• GitHub Pages for hosting and automation
• Academic APIs (ORCID, Scopus, Web of Science, Semantic Scholar) for publication data
• The academic community for inspiration and best practices

📞 Contact

Fabio Giglietto

• 🌐 Website: fabiogiglietto.github.io
• 📧 Email: fabio.giglietto@uniurb.it
• 🐦 Mastodon: @[email protected]
• 🔗 LinkedIn: fabiogiglietto

🤖 This website showcases the intersection of academic research and modern web technology, featuring automated content generation and intelligent data aggregation. Built with transparency and open-source principles.