🌱 Frugal AI

in Higher Education

Understanding the environmental, institutional, and generational costs of generative AI adoption — and why a more sustainable path is essential.

This international research project explores how generative AI is being adopted across higher education institutions worldwide, with a focus on sustainability, equity, and institutional governance.

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🌱 Frugal AI in Higher Education

Understanding the environmental, institutional, and generational costs of generative AI adoption — and why a more sustainable path is essential.

🌍 What is Frugal AI?

Frugal AI refers to the design, development, and deployment of artificial intelligence systems that maximize value while minimizing resource consumption — including energy, water, computational power, and financial investment. It is a paradigm that prioritizes sustainability, equity, and accessibility over sheer scale and performance.

This international research project explores how generative AI is being adopted across higher education institutions worldwide, with a focus on sustainability, equity, and institutional governance.

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Share your experience with Generative AI tools and contribute to this international research.

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🎯 Research Objectives

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Usage Patterns

How different roles (students, teachers, researchers, staff) use GenAI tools across institutions.

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Equity of Access

Examining disparities in access to premium AI tools across institutions and countries.

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Sustainability Awareness

Measuring awareness of environmental costs (energy, water) of AI infrastructure.

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Institutional Governance

Understanding how universities regulate and support GenAI usage.

🌍 Participating Countries

🇨🇦 Canada
🇫🇷 France
🇬🇷 Greece
🇹🇷 Turkey
🇹🇭 Thailand
🇺🇦 Ukraine
🇷🇴 Romania
🇨🇳 China
🇯🇵 Japan
🇸🇦 Saudi Arabia
🇪🇸 Spain
🇮🇹 Italy
🇳🇱 Netherlands
🇵🇹 Portugal
🇬🇧 United Kingdom
🇺🇸 United States
Countries
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📋 Generative AI Usage Survey

Please take a moment to complete this survey. Your responses will help us better understand how Generative AI is used in Higher Education.

Your responses are anonymous and confidential.

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📄 Ethics Document