SIGMA.SPACE SL

SIGMA.SPACE

Research initiative of the Department of Artificial Intelligence and Digital Technologies
at Alma Mater Europaea

An open community for applied artificial intelligence

SIGMA.space is an open community of universities, researchers, companies, institutions and innovators connecting knowledge, research questions and real-world challenges. Together we develop research, applied pilots, education and collaborations that place artificial intelligence in the economy, places and society.

Work with SIGMA.space

Community

SIGMA Community

SIGMA.SPACE connects students, doctoral candidates, researchers, experts, companies, public institutions and international partners in a shared development space for applied artificial intelligence.

SIGMA Applied AI Ecosystem Students Doctoral candidates Researchers Alma Mater Europaea University Companies Public sector Experts International partners

Connecting challenges and knowledge

Together we shape research questions and develop paths toward useful solutions.

SIGMA.space is a meeting point between real-world challenges from business, the public sector and society and research, education and development expertise. The aim is to shape collaborations that lead from a question to a verifiable research or applied result.

Do you have a development challenge? Share a problem, data question or area where we could develop a pilot together.
Are you looking for research collaboration? We connect you with research topics, expertise and partners in the SIGMA community.
We develop together From an initial idea to research, education, a demonstrator or a pilot solution.

Research and research pathways

From a research question to knowledge, experiment and use.

SIGMA.space research pathways connect academic work, doctoral research, experiments, publications, education and development pilots.

01

Research themes

Doctoral research, scientific questions and emerging research fields.

02

Researchers and mentors

People and expertise connecting doctoral candidates, professors, researchers and partners.

03

Results and research trail

Publications, experiments, models, prototypes and applications that can connect to pilots.

Education, Microcredentials and Events.

Education for different target groups.

SIGMA.SPACE develops education for different target groups – from AI literacy and microcredentials to professional training, research content and public events. It is intended for pupils, students, researchers, companies, public institutions and other organisations seeking to understand, develop and use artificial intelligence.

Education

Professional training and workshops

Professional training, workshops and introductory formats for competence development in applied artificial intelligence.

Microcredentials

Structured AI competence development

Short structured programmes with defined learning outcomes for verifiable development of AI competences.

Events

Public presentations and meetings

Lectures, presentations, public discussions and meetings designed to share knowledge and connect communities.

Pilots and Applications

Applied artificial intelligence develops through projects, data and communities.

SIGMA.SPACE connects education, research, public pilots, responsible AI use and emerging digital twins. Individual projects create an evidence trail for the broader development of applied artificial intelligence across public, research and partner environments.

Digital twins Public pilots AI literacy Responsible use Research and outreach
Rural Digital Twin

DIRDET: digital twin for rural development

A cross-border project for smart, inclusive and data-supported planning of rural areas through the use of digital twin methods.

Digital twins Public-sector pilot
Track
spatial planning, scenarios, municipalities, cross-border cooperation
SIGMA role
evidence of linking research, data and local decision-making
Project link
Environmental Digital Twin

BioGemTwin: biodiversity, environmental data and LiDAR

A digital twin prototype connecting expert knowledge, environmental data, artificial intelligence and scenarios for biodiversity protection.

Environmental data Emerging research
Track
biodiversity, climate resilience, tree-species recognition
SIGMA role
methodological bridge between digital twins, AI and environmental management
Project link
Community Digital Twin

BLUETWIN-CE: blue zones and well-being

A transnational project supporting rural communities through digital twin applications, data simulations and health and well-being strategies.

Public partnership Community health
Track
local communities, health, well-being, participatory development
SIGMA role
evidence of AI and digital twin use in a public development context
Project link
Data Systems for Resilience

GW-CARE: groundwater and climate risks

A project developing data-supported and interoperable approaches for more proactive groundwater management and resilient water systems.

Water resilience Responsible systems
Track
monitoring, models, data, decision-making, public interest
SIGMA role
linking AI methods, infrastructure and risk governance
Project link
AI Literacy and Responsible Use

Artificial intelligence for young people

An education programme for children and young people developing digital competences, AI understanding, critical judgement and safe, creative technology use.

Education Responsible AI
Track
DigComp 2.2, practical learning, age-adapted learning pathways
SIGMA role
competence axis for future applied AI development

Community trail

Events, meetings and initiatives that keep SIGMA connected.

The community trail brings together events, partnerships, public presentations, conferences and other activities that open space for knowledge exchange and new collaboration.

19 October 2026 · Startup thinking

Entrepreneurs Have an Advantage.

An invited lecture and workshop with Venture Factory and Matej Rus connecting entrepreneurial thinking, innovation and the opportunities opened by artificial intelligence.

Startup thinking
Matej Rus - Venture Factory
20 October 2026 · 9:30-14:20 · Fala Hydropower Plant

Uni.Minds: AI Innovations in Energy

A visit to the Fala Hydropower Plant and presentations of innovative solutions by researchers and start-ups will connect artificial intelligence with real challenges from Dravske elektrarne Maribor.

Energy Start-ups Uni.Minds
Dravske elektrarne Maribor
21 October 2026 · Jožef Stefan Institute

Artificial Intelligence: Technical and Business Perspectives

The professional event will present technical and business content in artificial intelligence, support knowledge exchange and connect researchers, experts and industry.

Technical AI Business use Knowledge exchange
Jožef Stefan Institute
May 2026 · Outreach

Technology, media and societal transformation

UIDT contributed to an international discussion on artificial intelligence, generative media and strategic collaboration between science, industry and society.

Emerging research Public outreach
Conference programme
June 2026 · Environmental AI

From groundwater to artificial intelligence

The event connected environmental data, hydrogeology, artificial intelligence and international knowledge exchange for sustainable groundwater management.

Environmental data Digital systems
Read more
2026 · European AI

European artificial intelligence summit

Participation in a European AI summit strengthens the connection between SIGMA.SPACE and debates on the future of AI, research, higher education and European innovation.

European research area AI futures
Read more
National debate · Trustworthy AI

Artificial intelligence: from vision to trust

UIDT follows national discussions on safe, trustworthy and responsible artificial intelligence and collaboration between researchers, the state and industry.

Responsible AI Governance

Partnerships and support

Institutions and partners connecting knowledge and practice.

SIGMA.space partners and supporters include institutions, municipalities, development organisations and other stakeholders contributing to knowledge, competences and regional innovation.

In Collaboration with UIDT

SIGMA.SPACE is a research initiative of the Department of Artificial Intelligence and Digital Technologies at Alma Mater Europaea.

UIDT provides the academic and research foundation for SIGMA, connecting research work with education, development projects, partnerships and the practical use of artificial intelligence. SIGMA.space connects the university environment with research, business and public partners.

Research Core

SIGMA.SPACE as a research community.

Strategic Coordination

Strategic Coordination

Leadership and long-term direction

Strategic coordination guides scientific development, international collaboration, research leadership and the long-term positioning of SIGMA.SPACE.

  • Maciej Wielgosz - Strategic Lead; Machine Learning Researcher at NIBIO and Associate Professor at AGH University of Science and Technology.
  • Matej Mertik - Strategic Lead; Head of the Department of Artificial Intelligence and Digital Technologies, Alma Mater Europaea.
Programme Coordination and Implementation Support

Programme Coordination and Implementation Support

Programme leadership, doctoral pathway and operational delivery

The group connects the community hub's core programme areas and provides support for research activities, the doctoral pathway and internal processes.

Programme Leads

  • Matevž Vremec - Lead for Education.
  • Tomaž Goričan - Lead for Research Pilots.
  • Tadeu da Ponte - Lead for Research Development and Innovation.

Support and Operational Coordination

  • Aleksandar Brodschneider - Doctoral Pathway and Research Process Support.
  • Petra Braček Kirbiš - Operational Coordinator.
Academic and Research Associates

Academic and Research Associates

Researchers, educators and external academic collaborators

Academic and research associates contribute to education, research content, European projects and the scientific development of SIGMA.SPACE.

  • Boris Podobnik - Academic Associate; professor of economics at ZSEM, research fellow at Boston University's Centre for Polymer Studies, and professor of mathematics at the University of Rijeka.
Doctoral Students

Doctoral Students

Doctoral research community

Doctoral students conduct research within the SIGMA.SPACE ecosystem and contribute to research projects, pilots, seminars and international activities.

  • Andrew Vennekotter
  • Dominique Ronde
  • Nina Rechberger
  • Louis Denis Mono Tsango
  • Anna-Katharina Herke
  • Ilona Negro
Strategic Partners

Strategic Partners

Institutional, research and innovation partners

Strategic partners collaborate with SIGMA.SPACE on education development, research projects, pilot environments, knowledge transfer and the broader applied use of artificial intelligence.