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Good practice Imported

IAedu — Portugal's National AI Access Platform for Higher Education and Research

Portugal · Lisbon · See the Portugal profile · See the Lisbon profile

Evidence: Descriptive / self-reported Top 17% 67/100 · Ask Evidence Copilot about this practice

Portugal's FCCN runs IAedu, a free, GDPR-compliant national platform giving university staff, researchers and students unified access to multiple LLMs. By June 2026 it reported 25,000 active users and 450,000+ conversations, still in beta.

25,000
Active users on the IAedu platform (by June 2026)
450,000+
Conversations recorded on the platform (by June 2026)
IAedu — Portugal's National AI Access Platform for Higher Education and Research

Details

Maturity
Pilot
Promoter
FCCN (Fundação para a Ciência e a Tecnologia) / RCTS network
Period
2025–ongoing
Region (NUTS)
PT17
Keywords
higher education, research, LLM access, GDPR, national infrastructure

Context

FCCN, the arm of Portugal's Fundação para a Ciência e a Tecnologia that runs the country's National Research and Education Network (RCTS), launched IAedu on 16 May 2025 as a centrally operated, free-to-subscribing-institutions platform. It gives staff, researchers and students at participating universities a single, GDPR-compliant point of access to several large language models — including GPT-5.2, DeepSeek V3.2, Claude Opus 4.5, Llama 4 Maverick and AMALIA, a model built for European Portuguese — through both a web interface and an API.

Objectives

FCCN frames the platform's goal as democratizing and ensuring equitable AI access across the Portuguese university system, while keeping user prompts out of model training.

Activities

Universities join by signing a protocol; NOVA University Lisbon signed in December 2025 and rolled the platform out to its whole community on 6 January 2026.

Results

By June 2026, FCCN reported 25,000 active users and more than 450,000 conversations on the platform, which remains officially in beta. Both FCCN and NOVA's Vice-Rector for Pedagogical Innovation state that user prompts are not used to train or improve any of the underlying models.

Conclusions

These adoption figures are self-reported by the operator and its subscribing institutions, with no independent audit found; the platform reports usage volume rather than learning or academic-outcome measures.

Implementation

Indicative cost
High (€500k–€5M)
Time to results
Medium (1–3 years)
Staffing & skills
FCCN (national research & education network) central platform operations team, University-level coordination via each institution's signed protocol (e.g. NOVA's Vice-Rector for Pedagogical Innovation)

Conditions for success

  • GDPR-compliant central operation ensuring user prompts are not used to train models
  • Formal institutional protocol/subscription mechanism for universities to join
  • Dual access via both web interface and API

Common failure modes

  • Adoption and usage figures are self-reported by the operator with no independent audit found
  • Platform remains officially in beta

Where it fits

Governance type
national research & education network (public sector)
Scale
national, multi-university
Income level
EU / high-income

Commonly funded by

National / regional programmes

Indicative funding routes for practices of this type — always check each programme's current calls and eligibility rules.

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Data sources

Where this practice's information was retrieved from, and when.

Attachments

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