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EU Initiatives

Labour Market Diagnostic Mechanism – Greece

By Country providing the good practice, EU Initiatives, EU institutional good practice initiative, Funding of the good practice, INSPIRATION, INSPIRATION: Good practices, Other, Public, Type of initiative of the good practiceNo Comments

Labour Market Diagnostic Mechanism – Greece

29.07.2025

Background and context

In June 2025, the Labour Market Diagnostic Mechanism was introduced as a good practice in all the practices of the European Commission’s European Network of Public Employment Services (PES), including practices reflecting EU employment policy in the context of the Europe 2020 strategy.

 

Anticipating skills needs

The Greek labour market is evolving rapidly. Within this framework, the Labour Market Diagnostic Mechanism, an online labour market monitoring tool that combines big data analysis with job demand and skills data has been developed that offers solutions for more effective employment services and labour-market policies.

The tool helps anticipate skills needs, with a view to improving labour market information and enhancing the services provided to public employment services counsellors, jobseekers and employers.

It operates under the supervision of the public employment service (DYPA) and the Unit of Experts for Employment, Social Security, Welfare and Social Affairs (MEKY) of the Greek Ministry of Labour and Social Security, and is a pioneering initiative that brings innovation to the monitoring and forecasting of skills needs.

The Facility, which was upgraded in 2024, uses data from the Ergani job register, the Hellenic Statistical Authority (ELSTAT) and the ESCO European Skills Classification System to map the most sought-after skills by sector, demographic group and region. This tool was initially tested in the IT and communications and pharmaceutical sectors, with plans to expand to all economic sectors by the end of 2025.

The initiative is supported by the European Social Fund (ESF) and is part of the Human Resources Development and Social Cohesion programme 2021–2027.

mechanism of labour market diagnosis skills analysis tool
Why is this a good practice?

The Mechanism is an excellent practice for both the Greek and the European labour market for the following reasons:

  • Data-based analysis: It combines data from multiple sources (Ergani, ELSTAT, ESCO) to provide accurate skills forecasts, overcoming the challenges of traditional surveys based on questionnaires. This allows for a rapid and reliable mapping of labour market needs.
  • Reinforcement of DYPA services: The tool helps employment advisers to provide more targeted services by improving the match between unemployed and vacancies.
  • In 2024, 861 advisors and 53 senior DYPA officials received training in the use of the Facility, enhancing the efficiency of their services.
  • Adaptation of educational programmes: The results of the Facility lead to the reform of curricula in the vocational education and training (VET) institutions of DYPA, ensuring that educational offers are relevant to current and future market needs.
  • Support for enterprises and employees: By using the European ESCO classification and validation through Employers Focus Groups, the Facility helps businesses identify the required technical skills and invest in the training of their employees.
  • Flexibility and adaptability: The tool has a user-friendly interactive interface that allows for the selection of demographic or local data, making it accessible to different audiences, such as policy makers, employment advisers and students.
  • Contribution to policymaking: the Mechanism provided documentation for the update of the National Strategy for Upskilling and Connecting to the Labour Market, which received a positive assessment from the National Labour Force Skills Council .

 

Results and benefits

The Facility has delivered significant results:

  • Improved employment services: trained consultants to use skills forecasts to better match jobs and the unemployed.
  • Targeted policies: support evidence-based active labour market policies, reducing imbalances between skills supply and demand.
  • Strengthening vocational training: VET institutions receive regular information on skills needs, enabling adaptation of their programmes.
  • Labour market resilience: helps prevent unemployment and strengthen labour market resilience through preventive measures.

 

Lessons and success factors

The Labour Market Needs Diagnosis Mechanism is an exemplary practice that brings Greece closer to a modern, evidence-based and flexible labour market. The success of the Mechanism is due to its simplified presentation of complex data, regular training of consultants and validation of results through employer focus groups.

A key lesson is the need for continuous training of users on the tool and its adaptation to more user-friendly formats, such as the provision of unemployment indicators by occupation and region.

By using advanced technologies and data, the tool not only improves DYPA services but also strengthens the link between education, employers and employees, contributing to a more resilient and competitive economy. Its extension to all sectors by the end of 2025 will further strengthen the dynamics of the Greek labour market, and make it a model for other countries to emulate.

Details

Website

Target audience

Digital skills for all

Digital skills for the workforce

Digital technology

Big Data

Software

Level

Basic

Funding of the good practice

Public

Type of initiative of the good practice

EU institutional initiative

Country providing the good practice

Greece

Start date

End date

Initiative: Pioneers for Artificial Intelligence

By Country of the initiative, Country providing the good practice, EU Initiatives, EU institutional good practice initiative, EU Institutional initiative, Funding of the good practice, INSPIRATION: Good practices, INSPIRATION: Initiatives, Other, Other, Public-private, Type of initiative of the good practiceNo Comments
Initiative: Pioneers for Artificial Intelligence

27.08.2024

The “Innovators for Artificial Intelligence (AI)” initiative is implemented by the non-profit organisation Science For You – SciFY and the ahedd Digital Innovation Hub of the National Centre for Natural Sciences (NCSR) “Demokritos”, with the support of the US Embassy in Athens and the John S. Latsis Public Benefit Foundation, and aims to train 1,000 Pioneers in Artificial Intelligence in Greece.

Purpose of the Initiative

The main goal of this initiative is to create an active community of 1,000 Pioneers in Greece who will know and can co-shape human-centric Artificial Intelligence (AI), leverage Artificial Intelligence to innovate and shape a better future for all.

The trained community of 1,000 will be composed of members of all professional categories such as:

  • entrepreneurs, high-level private business executives, IT executives
  • policy makers, politicians, Think Tanks, high-level ministries
  • NGO executives, social business executives
  • IT executives, IT students, tech workers, science researchers
  • Social/Political Scientists
  • involved in education (Gymnasium/Lyceum, Business, IT, Political Science, Social Sciences)

This community will be trained through an innovative program and will be networked and stimulated to be able to mobilize forces and collaborations in key sectors of the economy and society utilizing the latest technological developments.

The project includes

  • the training of 1,000 pioneers,
  • the website “AI in Greece“, which will be the central point of reference. It will inform about the developments, about the achievements of the 1,000 Pioneers for AI in Greece, will include articles on AI, educational content, etc.
  • the creation of a supportive community of researchers, experts, consultants, etc. (from Greece and abroad) who will have knowledge, motivation and the ability to contribute with their knowledge and support services. This enhances the sustainability of the project,
  • a networking and exchange platform of 1,000.

Training of the 1,000 frontrunners of the initiative

The training will combine theory and encouragement in practical application. It will be specifically designed for each different target group, and will include:

  • theoretical education (training, attending seminars, buying/offering a book),
  • action: organisation of at least one action on their own initiative, or participation in at least one initiative of another party (e.g. participation in a consultation).

The training will be completed in 3 years, with the aim of training 200 people in the first year, 300 in the second, and 500 in the third.

What is the expected impact?

The ultimate goal is to co-shape and leverage AI to increase impact primarily in the following areas:

  • the daily lives of citizens: understanding how AI works, avoiding undue fear of fake news, participating in consultations on AI,
  • the economy: taking entrepreneurial initiatives, creating new services, increasing innovation, creating competitive advantages,
  • AI policy making: raising awareness of AI issues, helping to create an appropriate regulatory framework, protecting citizens’ rights, fostering AI-enabled entrepreneurship,
  • impact of civil society action: leveraging AI tools to strengthen democracy, pluralism and more effective protection of citizens’ rights;
  • preparing young scientists to make use of AI, regardless of their field of knowledge;
  • strengthening the tools and role of Digital Humanities;
  • better formulation and more effective implementation of the ongoing National Strategy on AI

Why is it a good practice?

AI is already changing our present and future with applications in all areas of our lives. AI skills and knowledge significantly influence the demand for relevant professionals, while companies that make effective use of AI can innovate and grow through appropriate training. At the same time, proper understanding and knowledge of AI can mitigate both the risks and the unpredictable conditions created by this new technology.

New practices for the development of ethical AI systems also require the development of digital skills for human resources and there is a strong need to shape AI in a human-centric and ethical way. SciFY has trained more than 1,500 people to date in AI, participates in the DIGITAL SME Focus Group on AI, the European Commission initiative (AI Watch) and the European DIGITAL SME Alliance consisting of almost 40 AI experts representing companies from all over Europe.

Details

Target audience

Digital skills for all

Digital skills for the workforce

Digital skills in education

Digital technology

Information and Communication Technologies (ICTs)

Level

Basic

Middle

Funding of the good practice

Public-private

Type of initiative of the good practice

EU institutional initiative

Country providing the good practice

Other

Organisation providing the good practice

Robotics for Good Youth Challenge

By Bulgaria, Country providing the good practice, EU Initiatives, EU institutional good practice initiative, EU Institutional initiative, Funding of the good practice, INSPIRATION: Good practices, INSPIRATION: Initiatives, Other, Public, Type of initiative of the good practiceNo Comments
Robotics for Good Youth Challenge

20.05.2024

The Robotics for Good Youth Challenge is an initiative launched by the UN in the context of growing climate challenges and increasingly frequent and intense natural disasters. Global climate change increases the risks and intensity of disasters such as torrential rains, landslides, flash floods, earthquakes, hurricanes and forest fires. In response to these emergencies, using robots for search and rescue operations is proving particularly effective.

Autonomous robots offer a quick and accurate response to finding survivors, which is crucial when every minute counts. By reducing the exposure of first responders to hazardous situations, these machines make disaster relief safer, more efficient and more affordable. In addition, robots have the advantage of being carbon neutral, which is part of a sustainable approach. They can speed up search and rescue operations, conduct geological mapping, assess damage, remove rubble and deliver medical supplies, among other tasks.

Why is this a good practice?

In this context, the Robotics for Good Youth Challenge invites teams from worldwide to design, build and code robots to address specific challenges related to disaster response for the year 2024-2025. Participants can use platforms such as Arduino, Raspberry Pi, or LEGO Mindstorms. The process includes research, brainstorming, prototyping, and programming. This educational competition aims to promote robotics and programming skills among young people, while raising awareness of the United Nations Sustainable Development Goals (SDGs). Participants acquire technical knowledge in robotics and coding, while developing essential skills for their professional and future lives, such as teamwork, problem solving, project management, critical thinking and information retrieval.

How can I participate in this initiative?

Contest participants can register in person if a national organiser is present in their country or region. In the absence of a physical event, they have the opportunity to individually prepare their project and submit their results as a video for evaluation by a jury. In Luxembourg, this challenge is organised by the Lëtzebuerger Kannerduerf Foundation in Luxembourg. Private and public entities are encouraged to organise national events for this challenge between April 2024 and April 2025, with applications for the organisation to be submitted before 1 June 2024, and participant registrations open until 1 November 2024. Participants, usually between the ages of 12 and 18, register individually or as part of a team. Each team is encouraged to be composed of members with diverse interests and skills for a multidisciplinary approach.

The competition promotes inclusion by making learning robotics and coding accessible to all, regardless of gender, socio-economic status or academic abilities. It also encourages the use of recycled materials and environmentally friendly solutions, with a focus on the development of sustainable robots.

How the Challenge works

After registration and conniassance of the theme chosen for the edition, the challenge takes place in several stages

  1. Mentoring and workshops: Participants benefit from mentoring sessions with robotics and engineering experts. Workshops are organized to teach specific technical skills and guide the teams in the development of their projects.
  2. Presentations and evaluations: Teams present their projects to a jury of technology and sustainability experts. The evaluation criteria shall include innovation, feasibility, social and environmental impact, presentation and teamwork.
  3. Award ceremony: The best teams are rewarded at an awards ceremony. Winners may receive scholarships, funding to further develop their projects, or opportunities for continuous mentoring.
Old edition

In one of the last editions, for example, the theme was ‘Technology for Health and Well-being’, a topic relevant in the current context of the COVID-19 pandemic. Projects featured included robots to help older people stay active at home, automated disinfection systems, and solutions to improve mental health through technology.

Details

Target audience

Digital skills in education

Digital technology

Digital skills

Level

Basic

Intermidiate

Advanced

Funding of the good practice

Public

Type of initiative of the good practice

EU institutional initiative

Country providing the good practice

Bulgaria

Other

Organisation providing the good practice