The aiD project (2019–2023) applied artificial intelligence and social computing to support deaf communities through sign language recognition technology.
AI CYPRUS ETHICAL NOVELTIES LTD
Cypriot research centre applying ethical AI to sign language accessibility and cybersecurity training for healthcare organisations.
Their core work
EAIN is a Cypriot research centre applying artificial intelligence to problems with a strong social or ethical dimension. Their work spans two distinct but complementary areas: AI-powered sign language recognition and social computing tools for deaf and hard-of-hearing communities, and cybersecurity training platforms designed to protect healthcare organisations from cyber threats. In both cases, they operate as a contributing partner within international research consortia, bringing expertise in AI systems that must be both technically robust and ethically sound. The word "Ethical" in their name reflects a consistent focus on responsible AI deployment in sensitive social and security contexts — not just a branding choice.
What they specialise in
The AERAS project (2019–2025) developed a cyber range training platform specifically targeting security vulnerabilities in medical organisations and healthcare systems.
AERAS included risk assessment methodologies and modeling of impact reduction strategies for cyber incidents in healthcare environments.
The aiD project engaged social computing approaches to design inclusive digital tools for people with hearing disabilities.
How they've shifted over time
Both of EAIN's H2020 projects launched in 2019, meaning their expertise in accessibility AI and cybersecurity developed concurrently rather than sequentially — there is no true before-and-after evolution to trace. What the keyword comparison reveals is the breadth of their profile: accessibility and social inclusion on one side, cyber threat simulation and risk modeling on the other. If a direction can be inferred, AERAS runs two years longer than aiD (through 2025), suggesting cybersecurity training for critical sectors may be the more durable commitment going forward.
With AERAS extending to 2025 and healthcare cybersecurity growing as an EU priority, EAIN is positioning toward cyber resilience work in critical sectors rather than deepening the accessibility track.
How they like to work
EAIN participates exclusively as a consortium partner — they have never coordinated an H2020 project. Both projects used the MSCA-RISE scheme, which funds staff exchanges between research institutions, meaning their contribution is often delivered through secondments and knowledge transfer rather than standalone deliverables. With 22 distinct partners across 9 countries from just two projects, they operate in medium-to-large international consortia and appear comfortable working across national and disciplinary boundaries.
EAIN has built connections with 22 partner organisations across 9 countries through just two MSCA-RISE projects, indicating large and internationally diverse consortia for their size. Their geographic reach likely extends beyond the EU to third countries, as is standard for the RISE mobility scheme.
What sets them apart
EAIN occupies a rare niche as a Cypriot research centre that applies ethical AI thinking across two otherwise unrelated domains: disability inclusion and cybersecurity. Most organisations work in one or the other — EAIN's portfolio suggests a deliberate focus on AI systems deployed in high-stakes, human-centred contexts where errors carry real social consequences. For consortia building around responsible AI, healthcare security, or accessible technology, they offer a southern European anchor point with cross-domain AI research experience.
Highlights from their portfolio
- AERASEAIN's largest project by funding (EUR 138,000) and longest in duration (through 2025), AERAS addresses cybersecurity in medical systems — a sector under intense and growing pressure from ransomware and data breaches across Europe.
- aiDAn unusual combination of AI, social computing, and disability accessibility, applying machine learning to sign language recognition — a technically demanding problem with direct humanitarian impact for deaf communities.