🚀 ELO2_RefugeeEdu_AI

🎯 MIT Emerging Talent – ELO2 Project

Bridging Refugee Access to Higher Education with Data Science and AI

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Project Overview

This project looks at the main challenges that prevent refugee and displaced youth from accessing higher education, including financial, legal, and language barriers. Instead of only describing these difficulties, the project focuses on how technology can help turn challenges into opportunities.

It examines how AI-assisted matching tools could connect refugee students with suitable scholarships and academic pathways based on their needs and background. The goal is to move beyond identifying disadvantages and toward developing practical, scalable digital approaches that support greater access to higher education for refugees worldwide.

Research Questions

1. What barriers and information gaps limit refugee youth in the world from accessing higher education opportunities?

2. What higher education support programs currently exist, and where do gaps in accessibility and awareness remain?

3. How can data science and AI-assisted tools help connect refugee learners with more suitable scholarships and academic pathways?

Planned Structure of the Repository

We use a simple five-folder structure:

• 0_domain_study/ – Background research and literature review (context, key sources)

• 1_dataset/ – Main dataset(s) used in the project, including public statistics and small survey data

• 2_data_analysis/ – Notebooks and notes for data cleaning, exploration, and analysis

• 3_final_results/ – Final report, key figures, tables, and presentation slides

• collaboration/ – Project planning

Team Members

• Mohamad Naim Ziadah
• Anas Ziadah

License

This project is licensed under the MIT License. 📄 View License

Repository Structure

ELO2_RefugeeEdu_AI
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├── README.md                # Main project overview
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├── 0_domain_study/          # Domain background and literature
│   └── README.md
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├── 1_dataset/               # Main dataset(s) and documentation
│   └── README.md
|
├── 2_data_analysis/         # Data cleaning, exploration, and analysis
│   └── README.md
|
├── 3_final_results/         # Final report, figures, and slides
│   └── README.md
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└── collaboration/           # Team coordination and project planning
    └── README.md