STEMMING Green Innovation

Agentic AI and quantum-secure STEM talent for a smart, solar Europe.

STEMMING is a 24-month EIT Higher Education Initiative project coordinated by the University of L’Aquila. It is designed to strengthen higher-education capacity in green, digital and deep-tech innovation from 1 September 2026 to 31 August 2028.

Understand the training model See the project targets

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The change STEMMING is designed to make

From strong STEM knowledge to responsible deep-tech action.

Europe’s STEM programmes produce strong scientific and engineering foundations, but learners and staff do not always have scalable, assessed routes into innovation, entrepreneurship, IP, standards-aware engineering and research-to-market practice. STEMMING addresses that gap in the strategic context of smart solar, AI-enabled energy systems and trusted digital infrastructure.

The project does not replace degree programmes. It builds a shared Green Digital STEM Entrepreneurship Framework, eight non-degree mini-credentials, reusable challenge assets and institutional services that can complement existing teaching and staff development.

24: months · Sep 2026–Aug 2028
13: funded partners
3: associated adopter HEIs
€1.79m: project investment

The operating model

Four connected components

Education, digital infrastructure, real-world challenges and venture pathways are designed as one institutional-change system rather than separate communication themes.

Shared training architecture

Four pillars and eight mini-credentials

Assessment-backed learning across Agentic AI, Smart Green & Solar, Quantum Trust & Security, and Venture & Entrepreneurship, supporting at least 21 local module instances.

Green STEM Educational Agent Lab

AI-assisted, human-supervised support

Curriculum-aware tutors, venture coaching, helpdesk ticketing, expert escalation, privacy-preserving deployment patterns and auditable governance.

Solar and Smart Energy Digital Twin Studios

Realistic engineering and innovation environments

Smart-PV, energy, photonics, AI and quantum-secure scenarios using open, synthetic or controlled datasets and industry-informed challenge briefs.

Venture, employability and transfer

Learning connected to responsible next steps

IP clinics, KTO/TTO strengthening, internships, customer discovery, venture sprints, investor readiness and pathways into relevant ecosystem support.

Project commitments

Ambitious targets across the consortium.

These are consortium-wide project targets over the funded period, not entitlements promised to every visitor or participant.

8,000

successful training participants

Approximately 7,000 students, 500 academic staff and 500 non-academic staff, each completing at least 10 learning hours with assessment.

1,000

mentoring journeys

AI-assisted and human-reviewed learning, career or venture support journeys under the project model.

20+

internships

Placements linked to project challenges and mini-credential pathways, subject to separate availability and selection.

7 / 3

teams supported / start-ups established

At least seven start-up or scale-up teams supported for two months or more, with a target of three established start-ups.

new or improved structures

Including a durable diversity-and-inclusion mechanism, Agent Lab, Twin Studios, venture support and governance structures.

new partnerships

Cross-border industry, standards, regional-authority and ecosystem relationships linked to delivery and scale-out.

Implementation

Seven work packages over four phases.

Design and set-up lead into pilots, scale and venture building, then institutionalisation and handover. Public cohort pages are updated as delivery dates, eligibility and participation routes are confirmed.

WP0Governance, QA and MEL

Project steering, risk management, quality assurance, monitoring, evaluation and learning across the consortium.

WP1Competence framework and mini-credentials

Design of the common competence framework, learning outcomes and the eight shared mini-credential profiles.

WP2Agent Lab and certification layer

AI-assisted support services, controlled guidance workflows and the processes that underpin quality-assured credential issuing.

WP3Digital Twin Studios

Scenario-based engineering and challenge environments for smart energy, solar, photonics and data-driven experimentation.

WP4Venture builder, internships and KTO/TTO

Market-validation, employability and innovation-transfer pathways including internships and knowledge-transfer support.

WP5Diversity, inclusion and regional hubs

Inclusion measures, community access routes and regional adoption structures that broaden participation.

WP6Dissemination, exploitation and community

Communication, replication, community-building and exploitation activities that help the offer scale beyond pilots.

Quality and recognition

Quality-aligned credentials with transparent recognition.

Learning outcomes are designed to map to relevant European competence and standards frameworks. STEMMING prepares quality dossiers and assessment procedures aligned with EIT expectations. Every cohort will state the actual issuer, recognition route, workload, participation conditions and any fee before applications open.

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The STEMMING knowledge triangle

Education, research, networks and industry in one consortium

Four beneficiary HEIs lead institutional change, supported by specialist organisations and companies in solar, certification, inclusion, infrastructure, venture building and quantum security. Three associated HEIs extend adoption and replication.