EuroHPC Joint Undertaking has announced an upcoming online event, the EuroHPC Access Calls Webinar – Evaluation Process, Technical Assessment and Best Practices, scheduled for 13 May 2026 from 10:00 to 12:30 (CEST).
The webinar is aimed at researchers and users from both the public and private sectors who are interested in applying for access to EuroHPC supercomputing resources. It will cover key topics such as proposal preparation, evaluation procedures, benchmarking, and successful project implementation. Sessions will be delivered by experts from leading European HPC organizations, offering practical guidance and insights based on real application experiences.
The AI-AGE project was presented at the round table “Artificial Intelligence in Healthcare – Challenges and Opportunities”, held on 24 April 2026 at the Montenegrin Academy of Sciences and Arts (CANU) in Podgorica. The event gathered experts from Montenegro and Bosnia and Herzegovina to discuss the role of AI in healthcare, including clinical applications, digital transformation, ethics, medical imaging, NLP, and AI assistants. We used this opportunity to promote the EuroCC4SEE and NCC Monteengro activity.
The round table was an opportunity to promote EuroCC 2 & EuroCC4SEE and NCC Montenegro support
AI-AGE was presented by Prof. Dr Nataša Popović, Faculty of Medicine, University of Montenegro, in the session dedicated to AI in clinical practice. The presentation highlighted key findings of the project and demonstrated how AI can support early detection and screening of chronic diseases, including examples related to colorectal cancer detection and the use of biomarkers.
The main presentation was focused on AI-AGE goals and results (cross-project collaboration)
The event was also an opportunity to promote EuroCC activities and the role of NCC Montenegro in strengthening national capacities in HPC, HPDA, and AI. Participation in this round table further positioned AI-AGE within the broader regional discussion on responsible and clinically relevant use of artificial intelligence in medicine.
On the occasion of IoT Day 2026, an online seminar titled “IoT, AI, HPC: Shaping the Future” will bring together technologies that are redefining modern digital infrastructure. The event will focus on the practical application of Internet of Things (IoT), Artificial Intelligence (AI) and High-Performance Computing (HPC) in the development of modern digital systems.
During the seminar, experts from DunavNET, DigitalSmart Montenegro, the University of Donja Gorica, and Recrewty will present the projects and solutions they are currently working on, with a special emphasis on real-world applications of these technologies and their importance for digital transformation.
The speakers include: Nebojša Stojanović, Petar Knežević, Dejan Drajić, Anja Jakovljević, Stevan Čakić, Igor Ćulafić, and Mitar Perović.
📅 April 24, 2026 🕙 10:00–11:30 AM 📍 Online seminar Organized by: EuroCC 2 & EuroCC4SEE, University of Donja Gorica, and DunavNET
The event is open to researchers, engineers, developers, and everyone interested in current trends and practical applications of IoT, AI, and HPC.
Within the EuroCC initiative, this project demonstrates how High Performance Computing (HPC) enables a new approach to analysing industrial policy through large-scale text data.
Modern innovation policies are increasingly embedded in strategies, reports, and policy documents. This project treats those documents as data, transforming them into measurable indicators that can be linked to national innovation performance.
From Raw Data to Analytical Insights -The study started with over 50,000 policy documents and processed more than 36,000 clean texts, resulting in a structured dataset of 825 country-year observations across 55 countries (2007–2021).
Overview of data
Using Natural Language Processing (NLP), the project extracts key policy signals, including:
policy attention (how much a topic is discussed)
policy orientation (whether it is framed positively or negatively)
These signals allow policy discourse to be analyzed quantitatively and linked to innovation outcomes.
HPC infrastructure was essential for executing the full pipeline.
The complete workflow was finished in approximately 16 hours, while the same process on a standard laptop would take several weeks.
This enabled large-scale data processing, rapid iteration of models, and robust cross-country analysis.
Results summary
The results show that industrial policy does not have a uniform effect on innovation. Instead, its impact depends on both the type of policy and how it is communicated.
Key insights include:
different policy categories influence innovation outcomes differently
scientific publications respond faster than patents or R&D investment
text-based policy signals can serve as early indicators of changes in innovation environments
Impact – This project highlights how HPC enables:
transformation of unstructured text into analytical datasets
integration of policy analysis with economic outcomes
development of new tools for monitoring innovation systems
It also demonstrates the value of policy documents as a strategic data source for researchers, firms, and policymakers.
