D3A – Danish Digitalization, Data Science and AI 2024

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Danish Digitalization, Data Science and AI 2024 (D3A)

On February 1-2, 2024, we are bringing together researchers, students, and professionals from a wide range of fields to share the latest research and insights, gain new knowledge, exchange ideas, and make valuable connections across geography, scientific domains, and sub-fields. 

Danish Digitalization, Data Science and AI (D3A) is a new national conference hosted by Pioneer Centre for AI (P1), Danish Data Science Academy (DDSA) and DIREC. 

D3A is a scientific conference where the newest research and insights will be discussed. The aim is to grow the Danish digitalization, data science, and AI communities and strengthen the network for PhD students, postdocs, senior researchers, and professionals. We want to foster a collaborative and inclusive environment across Denmark. In 2024, the conference will take place on February 1-2 at Hotel Nyborg Strand. 


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

Quantum in practice: Current industry applications

Quantum Event:

Quantum in practice: Current industry applications

Join us for an afternoon filled with insights and inspiration as we explore the potential of quantum computing.

Are you curious about cutting-edge research and real-world applications of quantum technology?

Four leading companies working in quantum computing will share their work and showcase real-world use cases for quantum computing and quantum-inspired computing. From computational problems to chemistry and optimization, the talks will highlight how quantum computing is reshaping industries and solving today’s challenges for companies and society.

***This event will be held in Danish***

Whether you’re a quantum enthusiast or just curious about the potential of quantum technologies, this event will show you the many ways in which quantum computing can be applied to revolutionize our industries and society for good.


12.30-13.00 Lunch and networking 

13.00-13.10  Welcome and opening remarks

13.10-13.40  Presentation and Q&A
with Mark Jones, Co-Founder & CEO/CTO, Molecular Quantum Solutions

13.40-14.10  Presentation and Q&A
with Janus Wesenberg, Head of Research, Kvantify

14.10-14.20  Coffee break

14.20-14.50  Presentation and Q&A
with Troels Steenstrup, Director & Head of Machine Learning and Quantum Technologies , KPMG

14.50-15.20  Presentation and Q&A
with Jørgen Ellegaard Andersen, Founder and CEO, QPurpose

15.20-15.50  Panel discussion

15.50-16.00  Closing remarks

15.50-16.30  Everyone is welcome to stay for networking and a glass of wine/soda