High school teachers with a passion for information technology must scale up young people’s digital skills

24 november 2022

High school teachers with a passion for technology must help scale up young people’s digital skills

Universities will upskill Danish high school teachers with the latest IT knowledge and inspiration for teaching. Dedicated teachers are important inspiration for young people when choosing their course of study.


Can AI help a health system under pressure?

27 OCTOBER 2022

Can AI help a health system under pressure?

In Denmark we have a shortage of medical specialists and nurses. In 2025, according to the Danish Nurses’ Organization, there will be a shortage of at least 6,000 nurses, and the lack of medical specialists is also a huge problem for a hospital sector under a historically high pressure.


Digital Tech Summit 2023 – AI Transforming Business



DTS – AI Transforming Business 2023 is the largest deep tech conference in the Nordic countries and the annual meeting place for researchers from universities in Denmark and their partners in Danish industry. 

Over the course of two days, visitors will get access to more than 100 professional talks and presentations and a unique insight into the dominant and transforming digital technologies that are changing our industries and creating the future’s growth engines.

Digital Tech Summit presents the latest research and results from the business community and industrial partners and creates the framework for networking with the conference’s other visitors – directors, engineers, product managers, product developers, business developers and last but not least the talents of the future: university students.


Workshop on Verifiable and Robust AI


Workshop on Verifiable and Robust AI

This interdisciplinary conference will consist of a combination of invited talks, panel discussions, working groups, and contributed talks and poster presentations.

Artificial intelligence, driven to a large extent by rapid advances in deep learning technology, has produced exciting results over the last decade across various different scientific disciplines and practical applications.

This success is accompanied by an increasing need for methods that explain the decisions of machine learning models, make their performance more robust under changing conditions, and can provide firm guarantees for their behavior with regard to aspects like safety, privacy preservation, and non-discrimination.

These emerging key issues for the further advancement of AI are being studied both in the AI/ML communities, as well as by researchers from the areas traditionally concerned with the safety and verification of software systems by formal methods, such as model checking and theorem proving. However, while working towards the same goals, the interaction between these different research communities has been somewhat limited. This workshop aims to bring together researchers from the AI/ML and formal methods communities for an exchange of ideas and scientific approaches for tackling the challenge of building safe, trustworthy and robust AI systems.

The workshop is supported by the Digital Research Center Denmark (DIREC). It will consist of a combination of invited talks, panel discussions, working groups, and contributed talks and poster presentations. This interdisciplinary conference will facilitate the exploration of synergies between the two fields, fostering novel collaborations and fostering the development of innovative techniques.

By uniting these scientific communities and promoting dialogue and collaboration, this workshop aims to pave the way for the development of AI systems that demonstrate remarkable performance and ensure safety, transparency, and accountability in their operation.

Selected contributions from the workshop will be published in a special issue of the International Journal on Software Tools for Technology Transfer (STTT).

Topics of interest include (but are not limited to):
  • Robustness against adversarial attacks
  • Robustness under domain distribution shifts
  • Fairness of machine learning models
  • Machine learning with humans-in-the-loop
  • Explaining predictions of machine learning models
  • Verification and validation of program code produced by generative AI as OpenAI Codex or GitHub CoPilot
  • Merging statistical ML and logical reasoning
  • Neuro-symbolic integration
  • Safety guarantees for machine learning models
  • Testing and evaluation protocols for machine learning models
  • Satisfiability modulo theories (SMT)
  • Integrating constraint satisfaction and machine learning
  • AI reasoning beyond prediction
  • Formal logic, domain logic, and machine learning?
  • (Non-statistical) privacy-preserving methods
  • Guarantee preservation for evolving ML models
  • Scalable formal methods for AI/ML
  • Benchmarking and evaluating the performance of AI/ML systems in safety-critical contexts
  • Case studies demonstrating successful application of formal methods and AI/ML techniques in the development of robust, verifiable AI systems


Thanks to the support from DIREC, the participation fee is reduced to DKK 1900 per person. This fee includes accommodation and full board for the duration of the workshop. Due to space and financial constraints, the number of participants is limited.

When you have registered you will receive an email within a couple of days with further information about payment etc.

Invited speakers

Peter Flach

University of Bristol

José Hernández-Orallo

Universitat Politècnica de València

Antonio Vergari

University of Edinburgh

Jan Křetínský

Technical University of Munich

Nils Jansen

Radboud University Nijmegen

Bernhard Steffen

TU Dortmund University

Moshe Vardi

Rice University


The workshop is organized by

  • Boris Düdder, University of Copenhagen
  • Jaco van de Pol, Aarhus University
  • Kim Guldstrand Larsen, Aalborg University
  • Thomas Hildebrandt, University of Copenhagen 
  • Manfred Jaeger, Aalborg University

Digital Tech Summit: An important meeting place for universities and industry


Digital Tech Summit: An important meeting place for universities and industry

This autumn’s last big tech event has completed with great success. Thank you for two exciting days at the Digital Tech Summit 2022 in Bella Center Copenhagen. 

Photo: Mikal Schlosser

This year’s theme was Building European Tech Resilience. In a time of war, geopolitical uncertainty, pandemics and vulnerable supply chains, it is important to focus on how the technological development is dealt with. Digital Tech Summit is an obvious occasion to discuss the foundation of the digital technologies that must contribute to solve the challenges.

We thank you for the many exciting presentations that focused on different perspectives of this year’s theme, and for meetings with researchers, students, startups, companies, NGOs, who believe that digital development is a prerequisite for solving some of society’s most urgent issues – from climate change to democratic challenges.

Together with the Pioneer Centre for AI, CBS, DTU and Danish Life Cycle Cluster, we focused on the development of digital technologies for the healthcare sector, which is dominated by a record high labour shortage. On the main stage, we assembled a strong panel for a discussion of how to navigate the challenges of implementing groundbreaking AI in the healthcare sector.
At our stand right in the middle of our eight university partners, we had visits from researchers, students, startups and established companies who wanted to know more about DIREC’s work in strengthening digital research across the universities and the business community – the private and the public sectors.
Finally, we focused on exciting DIREC projects within hybrid work, digital technologies for urban water management, Greentech and smart cities and the role of robotics, drones and AI in sustainable farming.
Special thanks to our contributing business partners and researchers involved in the DIREC projects.
We look forward to spreading much more exciting news about all the exciting research that is contributing to change the world for the better.

World-class research with a solid Danish footprint – with the aim of making a crucial difference for companies and society.

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