ELIAS Alliance Expands Pan-European Network with Eight New Regional AI Innovation Nodes

ELIAS Alliance Expands Pan-European Network with Eight New Regional AI Innovation Nodes

Yesterday, at the Frontier AI Innovation Summit held at Messe Stuttgart, the ELIAS Alliance for European Leadership in Innovation with AI and Science officially announced a major expansion of its pan-European network. Eight new Nodes — Delft, Finland, Franconia, Jülich-Aachen-Cologne, Lausanne, Manchester, Sweden and Trentino-Südtirol — have formally joined the Alliance, doubling its reach across leading European research and innovation ecosystems.

8New Nodes joining
16Nodes in the network
9European countries
~500Summit participants

The announcement was presented during a dedicated high-level session of the summit, which co-located the annual All Hands Meeting of the German AI Excellence Centers with the ELIAS Alliance FROntier AI Summit. Co-organised with the Tübingen AI Center, the flagship event showcased how European fundamental AI research is being translated into technological sovereignty, high-growth startups, and secure open-source infrastructure, particularly in emerging fields such as agentic AI.

The expansion marks a key milestone in the development of the ELIAS Alliance. Following the public launch of its eight inaugural Nodes in November 2024 (Amsterdam, Barcelona, Cambridge, Copenhagen, Munich, Potsdam, Tübingen, and Zurich), the Alliance has established an operational European network connecting scientific excellence in AI with entrepreneurship, technology transfer, and regional venture creation. The addition of these eight new Nodes extends this infrastructure to key deep-tech communities across Europe.

“Europe's position in AI depends on whether research, talent and startups can move freely between its strongest hubs, and the ELIAS Alliance makes that concrete. In Amsterdam, the ELIAS Node has brought together partners across the local AI ecosystem to make it easier for frontier AI startups to grow and scale. Through the Alliance, we can now draw on the facilities and expertise of our partners in Potsdam and Tübingen, and open up Amsterdam's ecosystem to them in return.”

— Jan-Willem van de Meent, Associate Professor at the University of Amsterdam, Director of the Amsterdam ELLIS Unit, and Head of the ELIAS Node Amsterdam

Connecting frontier AI research with innovation

The expansion creates a deeply interconnected network uniting leading academic institutions, ELLIS (European Laboratory for Learning and Intelligent Systems) units, startup incubators, venture builders, and industrial partners across nine European countries.

The new Nodes were selected following a competitive open call launched in May 2026, evaluating regional ecosystems demonstrating outstanding scientific rigor, institutional support, dedicated operational capacity, and active engagement from non-academic advisors and deep-tech entrepreneurs.

“ELIAS is coordinated from Trento, and the creation of the Trentino-Südtirol Node gives us a unique opportunity to connect the Alliance’s European mission with the complementary strengths of Trentino and South Tyrol. By bringing together the University of Trento, Fondazione Bruno Kessler and the Free University of Bozen-Bolzano with HIT, NOI Techpark and the School of Innovation, the Node creates a shared pathway from frontier and open-source AI research to entrepreneurial education, technology transfer and deep-tech ventures. Through the ELIAS network, these regional strengths can contribute to—and benefit from—a truly European ecosystem for AI innovation.”

— Nicu Sebe, Professor at the University of Trento, Coordinator of ELIAS and Spokesperson for the ELIAS Node Trentino-Südtirol

The growing network provides a framework for sharing opportunities, expertise and activities across Europe, while enabling Nodes to build on the unique strengths of their local ecosystems. One example is the AI Launchpad, developed under the leadership of the ETH AI Center. By August 2026, it had connected ten European innovation hubs and supported more than 20 startups, helping research-driven teams access mentors, industry contacts, markets and investors beyond their home region.

“The new established ELLIS Unit Sweden is proud of becoming a member of the ELIAS Alliance. We are looking forward to strengthening the Nordic ecosystem through the collaboration with our EU colleagues and specifically through the Launchpad activities. This is a long-term commitment and will require collaboration on many different topics, but we like challenges!”

— Danica Kragic, Professor at KTH Royal Institute of Technology, Director of the ELLIS Unit Sweden, and Head of the ELIAS Node Sweden

ELIAS Alliance at the FROntier AI Summit

Held on October 7–8 at the Congress Center of Messe Stuttgart, the Frontier AI Innovation Summit brought together around 500 researchers, policymakers, and founders. Keynote speakers — including Raia Hadsell (Google DeepMind), Veronika Eyring (connAIx), Katja Schwarz (World Labs), and Mary-Anne Hartley (EPFL/LiGHT) — addressed critical pathways for sovereign European AI.

From Science to EntrepreneurshipA dedicated workshop led by Isabelle Siegrist (ETH Zurich, ELIAS), providing actionable strategies for academic founders.
Incoming Nodes on stagePresentations showcasing regional ecosystems and collaboration goals to the broader AI community.
Mentorship CornerIndividual 30-minute sessions connecting PhD students with experienced founders and technology-transfer practitioners from the Nodes.

The Mentorship Corner helped researchers explore how their work could lead to applications, collaborations or new ventures. Interactive sessions throughout the summit further facilitated cross-border dialogue on open-source foundation models, sustainable technology transfer, and joint AI innovation.

“Our goal is to enable Europe’s AI talent to build world-class technology that gets adopted at scale. When frontier research leads to widely used products, companies, and open infrastructure, it creates a virtuous circle of talent, innovation, and pluralistic value creation across Europe.”

— Matthias Bethge, Director of the Tübingen AI Center, Co-founder of ELLIS, and Head of the ELIAS Alliance

Building a stronger European innovation network

With the addition of eight new Nodes, the ELIAS Alliance enters its next phase as a broader European innovation network. The new Nodes will join its community activities and develop opportunities for collaboration with existing Nodes. Alongside the established AI Launchpad, the Alliance is developing an Open Pipeline to make foundation-model research more collaborative and reusable, and exploring an Innovation PhD approach that connects doctoral research with real-world challenges and entrepreneurship.

16 Nodes. 9 countries. One European network connecting frontier AI research with entrepreneurship.
Contact

Aygun Garayeva, PR Manager, ELIAS

Nicu Sebe, Coordinator, ELIAS

elias-coordination@unitn.it

ELLIS PhD Program: Call for Applications 2026

ELLIS PhD Program: Call for Applications 2026

The ELLIS PhD Program has opened its call for applications for 2027. Candidates can apply until October 31, 2026 (23:59 AoE) to join Europe's leading network of machine learning and AI researchers, working with two co-supervisors in different European countries. The program is funded by the EU Horizon programme through the ELIAS project.

31 Oct Application deadline, 2026
~200 Advisors expected
3 Program tracks
6+ Months of exchange

About the ELLIS PhD Program

The program pairs outstanding students with leading academic and industrial researchers across Europe, mainly in machine learning and related fields. Participants also benefit from networking and training opportunities such as summer schools and workshops.

Each student has two co-supervisors based in different European countries. The primary advisor is an ELLIS Fellow or Scholar, and the second is an ELLIS Fellow, Scholar, Unit Member or Member. Through the ELLIS/CIFAR partnership, joint supervision with a CIFAR fellow or Canadian AI Chair holder is also possible. Thanks to the collaboration with the Max Planck Artificial Intelligence Network (MP-AIX), candidates can apply to both programs.

Three tracks

Students complete an exchange of at least six months with their secondary advisor and choose one of three tracks. The specific requirements for each track are available on the program website.

Academic Track
AI/ML collaboration with an academic partner in another country, with at least six months spent visiting the secondary advisor.
Industry Track
AI/ML collaboration with an industry partner in Europe, with at least 50% of time at the academic partner and at least six months with the industry partner.
Interdisciplinary Track
Cross-domain work with an academic partner in a non-AI field such as biology, law or finance, with at least 50% of time with the primary advisor.

Research areas

AutoML•Bayesian & Probabilistic Learning•Bioinformatics•Causality•Computational Neuroscience•Computer Graphics•Computer Vision•Deep Learning•Earth & Climate Sciences•Health•Human Behavior, Psychology & Emotion•Human Computer Interaction•Human Robot Interaction•Information Retrieval•Interactive & Online Learning•Interpretability & Fairness•Law & Ethics•Machine Learning Algorithms•Machine Learning Theory•ML & Sustainability•ML in Chemistry & Material Sciences•ML in Finance•ML in Science & Engineering•ML Systems•Multi-agent Systems & Game Theory•Natural Language Processing•Optimization & Meta Learning•Privacy•Quantum & Physics-based ML•Reinforcement Learning & Control•Robotics•Robust & Trustworthy ML•Safety•Security, Synthesis & Verification•Symbolic Machine Learning•Unsupervised Learning•Social Sciences & Humanities•Entrepreneurship & Tech Transfer
ELIAS Focus

ELIAS offers an exceptional opportunity to engage in cutting-edge research across various impactful fields. These include Robust and Trustworthy Machine Learning, ensuring the development of secure and resilient AI systems; Machine Learning in Chemistry and Material Sciences, applying AI to uncover new solutions; Interpretability and Fairness, focusing on transparency and equity in AI models; ML and Sustainability, leveraging AI to address global environmental challenges; Earth and Climate Sciences, advancing understanding of climate change; and Law and Ethics, exploring the legal and moral dimensions of AI. This is a unique chance to contribute to critical interdisciplinary research at the forefront of technology.

Important dates

  • 1 October 2026: Application portal opens
  • 31 October 2026 (23:59 AoE): Application deadline
  • 25 November 2026 (23:59 AoE): Deadline for references
  • November – December 2026: Review stage
  • January – February 2027: Interview stage
  • Late February – March 2027: Decisions

There is no common start date. It depends on the advisor and the institution.

How to apply

Candidates register on the ELLIS application portal and submit a complete application by the deadline. Incomplete applications are not considered. Before applying, please read the FAQs and the program webpage.

Application form
Personal details, research field and advisor preferences, and degrees and experience.
Documents (PDF)
A two-page motivational letter with a research statement, a current CV, unofficial BSc and MSc transcripts with English translations, and optionally a thesis, paper or portfolio under 20 MB.
References
Two to three referees, contacted personally first and requested through the portal before the deadline. At least two should be established researchers, and at most one a postdoc.

Important note: Some advisors list a parallel application as necessary on the portal. In these cases, please also apply through the institution's official channels at the same time, to avoid delays to your start date.

Diversity and inclusion

Admission is competitive: typically fewer than 5% of registered applicants, and 5–10% of eligible applicants, are accepted. The program particularly encourages women and people with disabilities to apply.

Funding

The program is funded by the EU Horizon programme through the ELIAS project (grant 101120237, 2023–2027). The EU-funded ELLIOT project (grant 101214398, 2025–2029) also helps expand it, and G-Research supports the program through scholarship funding through 2028.

Apply by October 31, 2026. Join the ELLIS PhD Program in 2027. Apply now , or contact the PhD Coordination Office at phd@ellis.eu.

 ClimX Challenge

 ClimX Challenge

Competition Details

About the Challenge

The ClimX Challenge is an ML competition on Kaggle and Hugging Face focused on extreme-aware climate model emulation. Organized by the Universitat de València and supported by ESA Phi-lab, it tasks participants with building fast surrogate models for the computationally heavy NorESM2-MM Earth System Model. Driven by greenhouse gas and aerosol inputs, models predict daily 2D maps across seven surface variables. Submissions are uniquely evaluated on 15 derived extreme climate indices—such as heatwaves, droughts, and severe rainfall—to ensure emulators capture high-impact tail risks rather than simple averages.

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Scope & Objectives
  • Problem Tackled: Earth System Models (ESMs) like NorESM2-MM are computationally expensive, restricting dense exploration of climate forcing scenarios, initial condition ensembles, and extreme events. Traditional climate emulators often optimize for average climate state, failing to capture severe, policy-relevant tail events.

  • Objective: Build fast, accurate machine learning surrogate models (emulators) driven by greenhouse gas and aerosol forcing trajectories (and optionally past climate states) that output daily 2D climate variable maps and faithfully capture high-impact climate extremes.

  • Impact: Enables rapid climate scenario testing, robust quantification of tail risks, and decision support for climate adaptation without requiring computationally prohibitive supercomputer ESM runs.

Dataset & Resources
  • Source Simulation: High-resolution daily outputs from the NorESM2-MM Earth System Model.

  • Target Daily Variables (7 total):

    • Near-surface air temperature (tas), Daily max temperature (tasmax), Daily min temperature (tasmin)

    • Precipitation (pr), Near-surface specific humidity (huss), Sea level pressure (psl), Near-surface wind speed (sfcWind).

  • Derived Extremes (15 Leaderboard Indices): ETCCDI-style extreme climate indices derived from daily temperature and precipitation fields (e.g., TXx, SU, TR, CDD, Rx5day, R95pTOT).

  • Data Splits & Scenarios:

    • Training: Historical period (1850–2014) + SSP1-2.6, SSP3-7.0, and SSP5-8.5 scenarios (2015–2100).

    • Testing: Held-out SSP2-4.5 scenario (2015–2100).

  • Data Access Tiers:

    • Hugging Face (Full Dataset): ~172GB–200GB full-resolution dataset in Zarr/NetCDF format ($192 \times 288$ native grid, ~1° resolution) for full model training.

    • Kaggle (Lite Dataset): <1GB spatially coarsened dataset ($12 \times 18$ grid) for rapid pipeline prototyping and debugging.

  • Codebase & Baseline Resources: Official GitHub repository (IPL-UV/ClimX) containing end-to-end notebooks (playground.ipynb), environment specifications, helper utilities, and baseline benchmarks (Climatology, Linear Surrogates, Neural Networks, Graph Neural Networks).

Eligibility
  • Sign Up: Register on Kaggle for either the Main Track (deterministic) or UQ Track (probabilistic/uncertainty quantification).

  • Develop Emulator: Build an emulator that predicts the 7 daily 2D surface variables for the held-out test forcing scenario (SSP2-4.5).

  • Compute Indices & Format: Deriving the 15 extreme climate indices from your daily target predictions.

  • Submit Entry: Upload the derived extreme index maps (86 annual time steps for SSP2-4.5 at the full $192 \times 288$ grid resolution, totaling 4,755,456 rows per index) to Kaggle.

    • Rule: Models must predict daily variables first; direct prediction of leaderboard indices without generating daily intermediate fields is strictly prohibited.

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Expected Outcomes
  • Model Innovation: Development of state-of-the-art spatio-temporal ML emulators capable of preserving fine-scale physical tail distributions.
  • Scientific Insights: Rigorous benchmark comparison across architectures (CNNs, GNNs, Transformers, probabilistic emulators) evaluated specifically on climate extremes rather than spatial/temporal means.
  • Publication & Dissemination: Winning entries and challenge results will be highlighted and presented at the Tackling Climate Change with Machine Learning workshop at NeurIPS 2026 in Sydney.
Key Dates
  • Running Period: September 1, 2026 – November 30, 2026 (Launch Challenge).

  • Key Milestones:

    • September 1, 2026: Competition officially opens on Kaggle.

    • September 29, 2026: NeurIPS workshop paper acceptance notification.

    • November 30, 2026: Submissions close, leaderboard freezes, and finalist code reproducibility checks begin.

    • December 11–12, 2026: Results presentation at the NeurIPS 2026 Tackling Climate Change with Machine Learning workshop in Sydney (upon paper acceptance).

  • Persistence: ClimX is a persistent benchmark; all datasets, metrics, and starter code remain open and publicly available after the launch challenge concludes.

Evaluation Criteria

How Entries Will Be Evaluated

  • Main Track (Deterministic): Evaluated using the region-wise normalized Nash–Sutcliffe efficiency (nNSE), averaged across all 15 derived climate extreme indices over IPCC AR6 land regions:
    nNSEij = R²ij ⁄ (2 − R²ij)
    This metric maps cell-level R² to the range (-1, 1] (where 1 = perfect match, 0 = climatology/mean predictor), computes area-weighted regional scores, and averages them across indices.
  • UQ Track (Probabilistic): Evaluated using an analogous regional Continuous Ranked Probability Score (CRPS)-based metric.
  • Masking Filter: Grid cells with negligible temporal variability (Var(y) ≤ ε²) are masked out to avoid instability in ratios.

Judging Panel

  • Review Panel: Challenge chairs and research leaders from the Image Processing Laboratory (IPL / ISP) at Universitat de València.
  • Responsibilities: Leaderboard validation, code review for top entries, and verification of rule compliance (confirming models predict daily fields prior to index calculation).
Prizes
  • Sponsoring Body: ESA Phi-lab (European Space Agency).

  • Prize Pool (conditional on NeurIPS workshop paper acceptance):

    • 1st Place: €1,000

    • 2nd Place: €500

    • 3rd Place: €300

  • Travel Support: Up to €500 per winning team to support in-person presentation at NeurIPS 2026 in Sydney.

Have Questions?

For further information or queries, please contact:
📧Oscar José Pellicer Valero (oscar.pellicer@uv.es)

Repository / Technical Support: Open an issue or discussion thread on the ClimX GitHub Repository.

Registration Links & Resources
Academic Partners
ELIAS Unveils Winners of 2nd Open Call: Accelerating AI Solutions for European Sustainability and Resilience

ELIAS Unveils Winners of 2nd Open Call: Accelerating AI Solutions for European Sustainability and Resilience

Press Release: ELIAS Unveils Winners of 2nd Open Call: Accelerating AI Solutions for European Sustainability and Resilience

Trento, Italy – August 20th, 2026

The European Lighthouse of AI for Sustainability (ELIAS) has officially selected four high-impact winning projects for its 2nd Open Call. These innovative initiatives receive funding, expert support, and pilot validation to advance AI technologies addressing wildfire prevention, energy-efficient digital infrastructure, edge-computed energy management, and sustainable building renovation across Europe.

By translating frontier AI research into real-world applications, the winning projects support the goals of the European Green Deal by prioritising energy efficiency, carbon reduction, data privacy, and resource awareness.

Interest Extending Well Beyond Europe

ELIAS Call Results

The call attracted remarkable interest, highlighting the vibrant European and global AI innovation ecosystem committed to tackling pressing societal and environmental challenges.

285 Submissions
34 Countries

Targeted Use Cases (UCs)

UC1: AI for Building Optimisation 64
UC2: AI for Monitoring the Virtual Infrastructure 38
UC3: Responsible User-centric Advertising 14
UC4: Mitigating misinformed migrant perception in EU 12
UC5: AI for Forecasting Vegetation State 48
UC6: Open Materials Discovery Project 10
UC7: Personalised Co-piloting Systems 87
Other Relevant Topics 56
Each selected project will enter a six-month development programme, receiving up to €60,000 in funding, alongside visibility through ELIAS channels and events.

Thorough Evaluation Process

Each proposal underwent a rigorous assessment by consortium members and two independent experts. Final selection was reserved strictly for the highest-scoring projects, with tie-breakers taking into account diversity, broader environmental and social impact, and submission timing.

Excellence Technical ambition and innovation.
Impact & Scope Sustainability alignment and market potential.
Implementation Team execution capability.

Meet the Winners

RenovAIte (AI for Data-Driven Energy Renovation)

By NOBATEK — France | Focus Area: UC1 – AI for Building Optimisation 

Addressing Europe’s ageing infrastructure, NOBATEK’s RenovAIte platform harnesses domain-specific Natural Language Processing (NLP) and generative AI to modernise construction workflows. The tool reduces document processing times by 60% and generates context-aware renovation scenarios that lower operational energy costs by up to 30% for tenants, tackling energy poverty and reducing embodied carbon footprints.

AdaptiveSight (AI for Sustainable Digital Out-of-Home)

By LIBRA AI Technologies P.C. — Greece | Focus Area: UC1 – AI for Building Optimisation 

AdaptiveSight uses on-device computer vision to cut the energy consumption of Digital Out-of-Home (DOOH) advertising screens by 30–50%. Developed by LIBRA AI Technologies, the attention-aware system dynamically adjusts brightness and refresh rates only when spectators are looking at the display. All biometric processing occurs locally on Jetson Orin Nano edge nodes, ensuring complete compliance with European privacy standards.

HOTSPOT (Hybrid Orbital and Telemetric Sensors for Predicting On-site Threats)

By IoTique (Igloo Srl) — Italy | Focus Area: UC5 – AI for Forecasting Vegetation State 

Developed by Trentino-based IoTique, HOTSPOT combines satellite imagery with low-cost LoRaWAN environmental sensors measuring temperature, humidity, and vegetation dryness to prevent wildfires. By applying foundation models (such as TimesFM) for anomaly detection and geospatial optimisation, the system alerts local authorities early via a simple online dashboard while engaging citizens directly in environmental stewardship.

GUARDIAN (Green, User-guided, Auditable Resource-aware Deployment for Industrial AI Networks)

By Ratio1 — Romania | Focus Area: UC7 – AI for Sustainable Energy Operations 

Ratio1’s GUARDIAN introduces a reusable toolkit and benchmarking engine that shifts operational AI workloads away from power-heavy, centralised GPU clouds onto decentralised, CPU-first edge devices. Designed for renewable energy monitoring and operations-centre co-piloting, GUARDIAN minimises unnecessary computing and data transfer while ensuring human operators remain in full control through auditable outputs

Driving European Resilience

As extreme weather events, rising energy costs, and digital infrastructure demands test Europe’s infrastructure, the winning projects directly reinforce regional climate resilience and technological sovereignty. Moving from research concepts to operational pilots, these solutions demonstrate how lightweight, resource-aware AI can deliver tangible environmental protection and economic stability:

  • Climate Adaptation & Ecosystem Protection: Systems like HOTSPOT empower small municipalities and rural agencies with early-warning wildfire intelligence, safeguarding biodiversity, reducing emissions from burning vegetation, and strengthening community emergency preparedness.
  • Infrastructure & Energy Decarbonisation: Platforms such as RenovAIte and AdaptiveSight reduce structural energy waste across public spaces and built environments, accelerating building retrofits while supporting the EU Green Deal’s 55% emissions reduction target.
  • Technological Autonomy & Data Sovereignty: Architectures like GUARDIAN validate that complex AI operations can run reliably on local CPU edge networks, lowering reliance on energy-intensive cloud facilities while keeping critical operational data secure, private, and fully auditable under the EU AI Act.

The 2nd Open Call builds upon the achievements of the ELIAS 1st Open Call, which funded four pioneering projects addressing critical European sustainability challenges: https://elias-ai.eu/open-call/ 

Contact

Aygun Garayeva, PR Manager, ELIAS

Nicu Sebe, Coordinator, ELIAS

elias-coordination@unitn.it

IDEASHACK 2026 Highlights the Power of European AI Innovation

IDEASHACK 2026 Highlights the Power of European AI Innovation

From its online launch on April 24, 2026, through weeks of intense development, to its high-energy Grand Finale in Warsaw on June 19, 2026, IDEASHACK 2026 has officially wrapped up. The pan-European “sciencepreneurship” hackathon—organized by the IDEAS Research Institute under the ELIAS project and ELLIS Unit Warsaw—brought together top emerging talent, researchers, and innovators to solve one of deep-tech’s biggest questions: How do we effectively translate cutting-edge scientific research into market-ready business solutions?

From Academic Labs to Real-World Impact

IDEASHACK 2026 set out with a clear mission: building a bridge between science and business. The initiative welcomed interdisciplinary teams from across Europe to design AI-driven concepts and platforms that map academic expertise and accelerate knowledge transfer.

Out of 20 squads competing from all over Europe during the online sprint, the top 5 finalist teams earned their spot at the high-stakes Demo Day in Warsaw. Presenting before a demanding jury of experts representing science, industry, and venture capital, the finalists demonstrated both scientific rigor and entrepreneurial potential.

Winner Spotlight & Awards

With a total prize pool of €12,000, the jury recognized the most feasible, original, and impactful solutions for accelerating Europe’s AI ecosystem.

  • 🥇 1st Place (€5,000):  Team Master Builders

  • Project Title: ResearchRadar

    • An AI-powered research intelligence platform designed to bridge the gap between industry R&D needs and academic research. Built entirely on open data (OpenAlex, CORDIS, ORCID), it allows users to describe an industry need in plain language and returns ranked academic papers mapped to calibrated Technology Readiness Levels (TRL 1–9) with transparent, explainable evidence paths.

  • 🥈 2nd Place (€4,000): Team Lockedin

  • Project Title: LabConnectors

    •  An operating system and ecosystem designed to turn research events (hackathons, conferences, meetups) into structured pipelines for pilots, partnerships, and investments. It features AI-ranked talent discovery with commercial intent signals, EventOps workflows, and automated warm introductions between scientists, corporate R&D teams, and investors.

  • 🥉 3rd Place (€3,000):  Team Fjaka

  • Project Title: ScienceBridge

    • A translation and trust platform aimed at connecting orphaned, cross-domain scientific research with commercial industry applications. It utilizes an interactive 3D knowledge graph (GraphRAG), AI-generated synthesis cards that turn research fragments into business hypotheses, and an agentic verification system that provides tamper-proof “credibility passports” for researchers.

Ecosystem Synergy & Strategic Partnerships

IDEASHACK 2026 stands as a testament to the power of cross-border and cross-sector collaboration. By connecting emerging researchers with industry leaders, the initiative reinforces Europe’s vision for trustworthy, sustainable, and high-impact AI.

The success of this year’s edition was made possible through the support of key ecosystem partners:

  • Strategic Partner (IDEAS Research Institute): ORLEN S.A.

  • Partners: Swissnex, Google, Polish Development Fund (PFR), ELIAS Project

  • Patronage: Ministry of Digital Affairs of the Republic of Poland, Polish Agency for Enterprise Development (PARP)

  • Media Partner: ITwiz

Relive the Energy: Official Recap Video

Check out the official video recap below to experience the highlights, pitching moments, and vibrant energy from Demo Day in Warsaw:

▶️ Watch the IDEASHACK 2026 Recap Video on YouTube