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Researchers have developed secure digital voting booths – but will voters trust blockchain?

21 JUNE 2024

Researchers have developed secure digital voting booths – but will voters trust blockchain?

For the first time, researchers at Aarhus University and Lars Seier Christensen’s Concordium have demonstrated the security of blockchain software for conducting secure online elections. The challenge now lies in fostering trust in the technology.

Photo: Department of Computer Science, Aarhus University. From left: Bas Spitters, Benjamin Salling Hvass, Lasse Letager Hansen, Eske Hoy Nielsen

The 2024 election year is set to be historic, with half of the world’s population voting in political elections. However, amidst geopolitical tensions and rapid technological advancements, concerns persist about the accuracy of vote counting and the fair distribution of power, free from external interference.

How can we ensure that important elections are as secure as possible, whether for the chairman of a chess club or the President of the United States? And can this be achieved online?

Elections require a secure database and, with its cryptographic foundations, blockchain technology offers a highly secure solution. In 2023, Aarhus University and the Alexandra Institute received 1.8 million DKK from DIREC for the project Verified Voting Protocols and Blockchains. This project aims to rigorously test the encrypted protocols that will be the backbone of secure online elections in the future.

Bas Spitters, an associate professor at Aarhus University and head of the Concordium Blockchain Research Center (CoBRA), leads the project, which is nearing completion. Alongside the PhD students Lasse Letager Hansen and Eske Hoy Nielsen, he has mathematically proven that the blockchain protocol OpenVoteNetwork is correctly implemented and encrypted to a degree suitable for use in elections. This marks the first time a blockchain protocol and its software implementation has been mathematically secured and verified.

“We employ best practices in cryptography and programming languages to ensure that the protocol is secure. As a result, we can now confirm that the protocol’s security is completely mathematically proven,” says Bas Spitters.

Enhancing election security across all sectors

In an era where digital self-service is standard in public administration, physical ballots remain a steadfast tradition. However, in recent years, there has been growing interest in internet-based voting among election commissions worldwide.

Countries like Switzerland, Estonia, Brazil, and India are experimenting with online parliamentary elections. This solution is also highly relevant for elections in municipalities, corporations, and universities, which currently lack robust online security.

The issue is that many current internet-based elections are flawed because their security cannot be verified. Therefore, they are vulnerable to external interference, and voters are uncertain if their votes are accurately counted. The same problem applies to postal voting, which countries like France are exploring for online implementation.

“If you vote by mail, you need to cast your vote well in advance, which means you miss out on a significant portion of the political debate. You also rely on the security of the postal service and every subsequent step. However, with a secure online protocol that meets the highest standards, you can vote on the day of the election via the internet and even receive proof that your vote has been counted,” says Bas Spitters.

Building industry trust

The Verified Voting Protocols and Blockchains project is a collaboration between Aarhus University and the Alexandra Institute, and it is also attracting interest from the industry.

The Swiss blockchain company Concordium, founded and chaired by the Danish entrepreneur Lars Seier Christensen, is an industry partner in the project and plans to use the protocol for internal company voting. In collaboration with Aarhus University and Benjamin Salling Hvass from the Alexandra Institute, researchers have integrated a verified cryptographic library into Microsoft’s ElectionGuard voting software, which Concordium can now utilize.

With the mathematical proof established, the software can swiftly be adapted to manage election scenarios beyond those at Concordium. Whether the general public will vote for their political candidates online is simply a matter of trust, explains Daniel Tschudi, Senior Researcher at Concordium:

“Ballots are easy to trust because we rely on officials and election monitors to uphold security. Trusting new technology, even when mathematically proven secure, presents greater challenges. Ultimately, it’s about building trust in the technology and the security standards which researchers have developed and tested.”

The project aims to influence the minimum security requirements for online voting. Daniel Tschudi is confident that the researchers’ accomplishments will resonate widely:

“Once the protocol is thoroughly verified and certified to the highest standards, it can be applied to elections across all societal sectors,” he concludes.
The Verified Voting Protocols and Blockchains project is scheduled for completion in 2025. Read more about the project here.

This news article was brought in ITWatch on 18 June 2024

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What happens at Folkemødet?

11 June 2024

What happens at Folkemødet?

Discover the highlights of Folkemødet on Bornholm, focusing on digital technology, research, and innovation. The program is packed with exciting events and talks for tech enthusiasts.

Digitalisering og den grønne omstilling

Gør digitaliseringen os til klimasyndere?
13. juni 2024 14:00 – 14:45

Maja Hanne Kirkeby
Lektor ved Datalogi på Institut for Mennesker og Teknologi
Roskilde Universitet


Grønne datacentre: Findes de? 
14. juni 2024 09:00 – 09:45

Rikke Hougaard Zeberg
Direktør, Styrelsen for Dataforsyning og Infrastruktur
Bestyrelsesmedlem i DIREC

Mette Kaagaard
CEO
Microsoft Danmark


Bliver teknologi vores redning eller undergang?
14. juni 2024 15:30 – 16:30

Jonas Fritsch
Lektor, Digital Design, Center for Climate
IT-Universitetet


Er teknologien en klimasynder eller -frelser?
14. juni 2024 16:00 – 16:45

Stephen Alstrup
CEO, professor & digital vismand
SupWiz, KU & ATV


Datatrafikken eksploderer. Kan vi følge med?
14. juni 2024 15:00 – 15:45

Rikke Hougaard Zeberg
Direktør, Styrelsen for Dataforsyning og Infrastruktur
Bestyrelsesmedlem i DIREC


Digitalisering og kvante

Kvanterevolutionen kommer. Hvordan får Danmark succes?
13. juni 2024 14:00 – 14:45

Ulrich Hoff
Quantum Engagement Specialist, Kvantify
Danish Quantum Community


Kvanteteknologi ændrer vores sundhed, og AI får superkræfter
14. juni 2024 10:30 – 11:30

Kaj Grønbæk
Institutleder og Professor i Datalogi
Aarhus Universitet


Myter og fakta om kvanteteknologi
14. juni 2024 18:00 – 18:45

Natasha Friis Saxberg
Administrerende direktør
IT-Branchen
Bestyrelsesmedlem i DIREC

Lene B. Oddershede
Senior Vice President
Novo Nordisk Fonden


AI og fremtidens arbejde

Dronerne kommer!
13. juni 2024 15:30 – 16:15

Kasper Hallenborg
Institutleder, Mærsk McKinney Møller Institute, SDU
Bestyrelsesmedlem i DIREC


Skal danske sprogmodeller gøre os uafhængige af techgiganter
13. juni 2024

Dina Myrup Raabjerg
Folketingspolitiker, Det Konservative Folkeparti

Jens Kaas Benner
Head of AI, Alexandra Instituttet

Casper Klynge
Vicedirektør, Dansk Erhverv


Hvordan bliver du klar til AI-revolutionen?
14. juni 2024

Jan Damsgaard
Professor, Department of Digitalization, CBS


Kunstig intelligens: Fuld fart frem uden bekymringer?
14. juni 2024

Natasha Friis Saxberg
Administrerende direktør, IT-Branchen
Bestyrelsesmedlem i DIREC


Generativ AI: Maskinstormere vs. månelandingsingeniører?
14. juni 2024 18:00 – 18:40

Thomas Troels Hildebrandt
Professor i datalogi, Københavns Universitet


Kunstig intelligens i fremtiden
15. juni 2024 10:30 – 11:20

Serge Belongie
Professor i Datalogi, Københavns Universitet
Head of The Pioneer Centre for AI


AI, algoritmer og ekspertviden
15. juni 2024 11:25 – 12:10

David Budtz Pedersen
Professor, Institut for Kommunikation og Psykologi, Aalborg Universitet

Anders Søgaard
Professor i Datalogi, Københavns Universitet

Anja Bechmann
Professor, DATALAB – CENTER FOR DIGITAL SOCIAL RESEARCH, Aarhus Universitet


AI er fremtiden, men…
15. juni 2024 12:15 – 13:00

Stephen Alstrup
CEO, professor & digital vismand
SupWiz, KU & ATV


Oplysninger til Borgerne om det Digitaliserede Samfund
15. juni 2024 13:00 – 14:00

Sine Zambach
Assistant professor i digitalisering, CBS
Pirat, Coding Pirates


Spørg Folkemødets Forskerpanel om kunstig intelligens
15. juni 2024 14:00 – 14:50

Thore Husfeldt
professor i teoretisk datalogi, IT Universitetet

Peter Dalsgaard
Professor i Digital Design og Informationsvidenskab, Aarhus Universitet


Digitalisering og sundhed 

Kan vi have tillid til en sundhedsapp? 
15. juni 2024 09:30 – 10:30 

Alexandra Instituttet 

Trine Rolighed Thomsen 
Project Director in Healthcare Technology 
Teknologisk Institut  


Mads & Sundhedsholdet 
13. juni 2024 15:00 – 15:45 

Natasha Friis Saxberg 
Administrerende direktør 
IT-Branchen 
Bestyrelsesmedlem i DIREC 

Søren Brunak 
Professor i bioinformatik og kunstig intelligens 
Københavns Universitet   


Digitalisering og uddannelse 

Kan en dårlig elev prompte sig til et 12-tal? 
13. juni 2024 12:00 – 12:55


Thore Husfeldt 
professor i teoretisk datalogi 
IT Universitetet 


Digital transformation og fremtidens talent 
13. juni 2024 

Per Bruun Brockhoff 
Rektor 
IT-Universitetet 

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AI will be “lane assist” for healthcare professionals in ultrasound scans of pregnant women

23 May 2024

AI will be “lane assist” for healthcare professionals in ultrasound scans of pregnant women

After two years of collaboration, a team of researchers from Danish universities has developed an artificial intelligence capable of evaluating the quality of ultrasound scans of pregnant women, drawing insights from experienced physicians. This innovation aims to enhance the quality of scans not only within Denmark but also in developing nations.

Ultrasound scanning during pregnancy is a challenging discipline. Many practitioners have dedicated their careers to capturing precise fetal images using only a small probe and a screen. The pursuit of detecting fetal anomalies is often challenged by factors such as ultrasound beam alignment, layers of fat, and organ positioning, contributing to the difficulty in achieving clear and interpretable images.

Presently, there exists considerable variability in the quality of ultrasound scans of pregnant women, with evidence indicating a correlation between the expertise of clinicians and the detection of growth abnormalities. This underscores the need to standardise scan quality across clinicians and medical facilities. Here, artificial intelligence can serve as a mentor to less experienced practitioners.

Doctors train the algorithm

As part of the EXPLAIN-ME project, a group of researchers has been working since 2021 to create an explainable artificial intelligence (XAI) designed to guide healthcare professionals in performing high-quality scans without deep expertise. A significant milestone in the project has been the development of an algorithm that, based on criteria set by experienced doctors, matches the level of experienced clinicians in selecting quality scan images.

“Ultrasound scanning requires substantial expertise and specialized skills. Obtaining high-quality images is challenging, leading to great variations in scan quality across different hospitals. We hope that our project can level out these quality differences,” says Aasa Feragen, project leader of the EXPLAIN-ME project and professor at DTU Compute.

Close collaboration between theory and practice

With an effective AI model in place and eighteen months remaining until the project’s completion, the focus is now to determine the best way of conveying the model’s guidance to healthcare professionals—an aspect often overlooked in the research world.

“We work very closely with doctors and sonographers. It’s crucial for us, as technical researchers, to understand what is needed for our models to make a real impact in society,” says Aasa Feragen.

The PhD student Jakob Ambsdorf has gained invaluable insights into healthcare professionals’ needs through his engagement with the Copenhagen Academy for Medical Education and Simulation (CAMES) at Rigshospitalet.

“I’ve spent a lot of time in the clinic at Rigshospitalet to identify the challenges faced by staff. We’ve learned that sonographers don’t necessarily need help with diagnosis but rather with enhancing image quality. Thus, instead of trying to imitate human decisions, we aim to refine the surrounding factors. For instance, we recommend slight adjustments to the probe’s positioning or settings to enhance image clarity. It’s like a lane-assist for sonographers and doctors,” he says.

Potential for global expansion

With the project set to conclude in 2025, the primary objective is to expand upon the XAI model to equip less experienced healthcare personnel worldwide with the tools for conducting advanced scans. The XAI model, developed by the University of Copenhagen, has already undergone trials using data from Tanzania and Sierra Leone.

“In the long term, the model can be used in areas with limited access to high-quality equipment and specialised personnel,” concludes Jakob Ambsdorf.

DIREC has provided support to the EXPLAIN-ME project with a grant of DKK 7.39 million. Beyond ultrasound scans, the project also addresses the diagnosis of kidney tumors and robotic surgery.

What is explainable artificial intelligence (XAI)?

Explainable artificial intelligence aims to explain the rationale behind AI model outputs, fostering trust in their decisions. As machine learning models grow in complexity and are increasingly employed for critical decisions, XAI enables users to understand the data on which they were trained and assess the accuracy of the output.

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Is there a digital architect present?

16 May 2024

Is there a digital architect present?

Focusing on user-centered design can give Denmark a unique competitive advantage, positioning us as the leading country in Europe for developing innovative digital solutions. The best IT solutions are those where technology seamlessly integrates into the background, enabling us to accomplish our tasks effortlessly.

BY THOMAS RIISGAARD HANSEN, DIRECTOR OF DIGITAL RESEARCH CENTRE DENMARK

In the Danish TV program “Is there an architect present?”, Ane Cortsen asks: How could an architect design such a controversial building? The same question can be posed about many IT solutions being rolled out in Denmark. Was there an IT architect present?

There are many parallels between building design and IT development. Just as glass, stone, concrete, and steel can be combined into beautiful and inspiring structures — or the complete opposite — software can be developed to either simplify our lives or create frustrating user experiences that may lead us to abandon the digital solution entirely, if that’s even possible.

The Danish architect Jan Gehl is renowned for his human-centered approach to urban planning and the interaction between people. Similarly, it is crucial to incorporate the human element in technology design.

The best solutions 

The best IT solutions are those where technology seamlessly integrates into the background, helping us accomplish the tasks we need. It is the smartphone that unlocks automatically with advanced facial recognition software, the payment app that facilitates transactions easily via the phone, the health card always available on the phone, and the many online shops that allow us to order items with just a few clicks.

Unfortunately, there are also many counter-examples. Recently, I had to pay a library fine of 20 DKK. From the moment I clicked the payment link and was asked to log in with MitID, I had to navigate through the municipality’s debt collection system before finally being redirected to MobilePay, where I could transfer the 20 DKK. The media are full of similar examples.

Unlike a building, a digital solution can be rolled out to a large group of people in a very short time. Thus, both good and bad solutions quickly impact many users. To ensure that all of Denmark benefits from the digitalisation wave, the primary challenge is not necessarily the digital technology itself but the lack of user involvement and thoughtful design before a new digital solution is implemented.

Where is the architect?

In Denmark, we have more than 40 years of experience in designing digital solutions with a human-centered approach as an academic discipline at our universities. Now is the time to leverage all that knowledge and experience and include the users’ perspectives from start to finish, as they possess the in-depth domain knowledge, experiences, insights, and skills crucial for creating successful IT solutions.

Our experience in researching user-centered digital design can become a unique competitive advantage, positioning Denmark as one of the leading nations in Europe for developing new digital products.

Our goal should be to develop IT solutions and technologies that are not just technological achievements but primarily aim to make our daily lives easier and more efficient.

We should celebrate the user-friendly digital solutions we currently have in Denmark because, unfortunately, there are enough poorly designed solutions to warrant a new program titled: “Is there a digital architect present?”

 

This column was featured in ITWatch on 15 May 2024.

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D3A 2.0 – Open call for session proposals

8 March 2024

D3A 2.0 – Open call for session proposals

Mark your calendars for October 22-23, 2024, as we gear up for another great community-driven conference in Nyborg – Danish Digitalization, Data Science and AI 2.0 – also called D3A 2.0.  

We invite you to contribute to the program of the conference by submitting a proposal for a parallel session.
 


You are not required to be active in the Danish Data Science Academy, Pioneer Centre for AI or DIREC to propose a session or participate in D3A 2.0.



We encourage people from different disciplines to work together to create synergies through their sessions.



If you are looking for new collaborators or a co-organizer, you can join our D3A LinkedIn group to connect with other researchers and professionals from the Danish digitalization, data science, and AI communities.



Find more info and submit your proposal



D3A – Danish Digitalization, Data Science, and AI is a new scientific conference where the newest research and insights will be discussed.

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DIREC annual report 2023

7 March 2024

DIREC annual report 2023

In 2023, there was a significant breakthrough in digitisation, particularly in generative AI, which became a widespread topic of conversation. The introduction of ChatGPT allowed everyone to explore the possibilities of interacting with advanced language models. 

While AI is of course a major focus in DIREC, we also emphasise that digitisation encompasses more than just AI. It involves developing skills that not only align with current trends but also anticipate the themes of tomorrow. In simpler terms, although the spotlight is on AI, advancements are not limited to that field; they also extend to areas such as robotics, user interfaces, programming languages, software architecture, cybersecurity, and blockchain. We are therefore proud of the diversity of projects in DIREC. 

In 2023, our centre reached full speed. Our 40+ projects are well underway, and the results are starting to materialise. 

Read our annual report

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Automated Sensitivity Analysis Enhances Trustworthiness of Probabilistic Programs

6 March 2024

Automated Sensitivity Analysis Enhances Trustworthiness of Probabilistic Programs  

Probabilistic programs, a fundamental concept in modern computing, have gained increasing attention due to their versatile applications across various domains, including machine learning, cryptography, and statistics. However, ensuring the reliability and trustworthiness of these programs poses significant challenges, particularly in understanding their probabilistic nature and analysing their sensitivity to input changes.

A recent study led by researchers Alejandro Aguirre from Aarhus University and Christoph Matheja from DTU has made strides in addressing these challenges. With funding from DIREC – Digital Research Centre Denmark, their project, titled “Automated Verification of Sensitivity Properties for Probabilistic Programs,” explores the feasibility of using automated program verification techniques to analyse the sensitivity and robustness of probabilistic programs.

 

Christoph Matheja, DTU (left) and Alejandro Aguirre, Aarhus University (right)

Robustness is paramount

At the heart of probabilistic programs lies the ability to sample from probability distributions and make decisions based on the outcomes, injecting randomisation into computations. While this randomness is essential for various applications, it also introduces complexities in understanding and quantifying the distributions produced by these programs. Moreover, ensuring the robustness of probabilistic programs against input changes and variations in sampling distributions is paramount for their reliability.

The project emphasizes the importance of sensitivity analysis in assessing the trustworthiness of probabilistic programs. Sensitivity, defined as the degree to which a program’s output changes in response to small changes in its inputs, serves as a crucial metric for evaluating program robustness. Trustworthy programs exhibit low sensitivity, indicating that minor input fluctuations do not yield significantly different results.

Bridging the gap between theoretical insights and automated analyses techniques

The research project leverages the automated verification tool Caesar and the relational weakest preexpectation calculus, which has been developed by the researchers, to analyse sensitivity properties of probabilistic programs. By encoding theoretical proof systems into practical verification tools, the researchers have bridged the gap between theoretical insights and automated analysis techniques.
As a case study, the researchers applied their methodology to analyse the rate of convergence of the Q-learning algorithm, a popular reinforcement learning algorithm widely used in various fields, including automated driving and text generation. By examining how the algorithm’s estimates converge over iterations, they demonstrated its theoretical convergence properties and validated its practical performance.

Future directions

The project’s findings were presented at VeriProp, an international workshop focusing on the verification of probabilistic programs, showcasing the potential impact of automated sensitivity analysis in enhancing the reliability of probabilistic programs.
Future applications include the analysis of more advanced machine learning and sampling algorithms, such as the Stochastic Gradient Descent Algorithm and Markov Chain Monte Carlo. Additionally, efforts will be directed toward making verification tools more accessible to engineers, thereby empowering a broader community to ensure the trustworthiness of probabilistic programs in diverse applications.

By advancing automated sensitivity analysis techniques, this research not only contributes to the theoretical understanding of probabilistic programs but also paves the way for their practical implementation with enhanced reliability and trustworthiness. 

What are probabilistic programs?

Probabilistic programs are computer programs that can sample from probability distributions, for example, by flipping a fair coin, and make decisions based on the outcome. Probabilistic programs thus inject randomization into computations.

Randomization is a ubiquitous concept in modern computing, with applications in machine learning, where the quality of the learned result heavily relies on the quality of samples; the design of randomized algorithms, which leverage sampling to be, on average, more efficient than their non-randomized counterparts; and cryptography, where randomness is needed for encoding secrets. In statistics, probabilistic programming languages have become popular modelling tools that are more expressive and accessible than classical graphical models.

 

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The award goes to…

13 December 2023

The award goes to....  

PhD Student Axel Christfort and Supervisor Associate Professor Tijs Slaats from the University of Copenhagen won the Process Discovery Contest at the 5th International Conference on Process Mining with their DisCoveR miner.

In a remarkable achievement, PhD student Axel Christfort and his supervisor, Associate Professor Tijs Slaats, won the Process Discovery Contest at the 5th International Conference on Process Mining.

Their cutting-edge DisCoveR miner produced the most accurate models and stood as the sole algorithm to successfully complete discovery and classification tasks within the stipulated time.

Process discovery algorithms play a crucial role in analyzing event logs, generating human-readable models that elucidate the behavior captured in the log. This includes understanding how individuals sequence activities in their work processes. The ICPM Conference, organizers of the Process Discovery Contest, evaluate submissions based on accuracy, requiring participants to mine models for a diverse range of logs and correctly classify corresponding ground truth traces.

This is the third prize in the Process Discovery Contest for the Process Modelling and Intelligence group from the Department of Computer Science, University of Copenhagen. In 2021, they secured awards for the best overall and the best imperative miner. The DisCoveR miner.

DisCoveR originated from a M.Sc. thesis by Viktorija Sali and Andrew Tristan Parli, supervised by Professor Slaats. The algorithm has undergone further refinement by Industrial PhD Student Christoffer Olling Back from ServiceNow, with ongoing enhancements by Axel Christfort. Funding from Independent Research Fund Denmark, DIREC – Digital Research Centre Denmark, and Innovation Fund Denmark has been instrumental in supporting this groundbreaking work.

Axel Christfort and Tijs Slaats are nominated Process Discovery Contest Winners

The industrial application of DisCoveR has been demonstrated through its implementation by DCR Solutions. The algorithm’s efficacy and utility have been validated in real-world scenarios, emphasizing its practical significance. Ongoing contributions from PhD Vlad Paul Cosma and Professor Thomas Hildebrandt have further extended and improved the miner, adding to its robustness.

Looking ahead, the Process Modelling and Intelligence group is eager to build upon these achievements to secure additional funding and foster novel collaborations. The team is already gearing up for the next iteration of ICPM, aiming to continue their winning streak and further advance the field of process discovery.

FACTS

Associate Professor Tijs Slaats is the project manager of the DIREC project ‘AI and Blockchain for complex business processes’.

Together with industry, the project aims to develop methods and tools that enable the industry to develop new efficient solutions for exploiting the huge amount of business data generated by enterprise and blockchain systems, with a specific focus on tools and responsible methods for the use of process insights for business intelligence and transformation.  

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It requires collaboration with people of different expertise to push your idea forward

11 December 2023

It requires collaboration with people of different expertise to push your idea forward  

Kurt Nielsen is one of the pioneers behind encryption and blockchain technology for protecting sensitive data while in use, and co-founder of Partisia. Here, he tells about the journey from researcher to CEO.

It all began as two research projects at Aarhus University, where a small team of researchers with diverse backgrounds in cryptography, business economics, and software development joined forces. The collaboration resulted in a groundbreaking cryptography technology, and in 2008, the tech company Partisia was born.

The CEO and partner Kurt Nielsen with a background in mathematics and economics, was involved from the beginning – from the first idea conceived by Professor Ivan Damgård at the Department of Computer Science at Aarhus University to the foundation of Partisia, which is now a leader in advanced cryptography and blockchain technologies for the financial sector, 15 years later.

At that time, Kurt Nielsen was fully engaged in his PhD when he got into a conversation with Professor Ivan Damgård. Over the following years, they worked closely on developing and deploying the new encryption technology, and a collaboration with the food producer Danisco became their major breakthrough.

Danisco, undergoing extensive restructuring at the time, became the first company to adopt the new encryption technology. The collaboration was the industry breakthrough that the research team had been working towards for years – both technologically and commercially. From then, things gained momentum, and more public and private collaborations followed.

From technological breakthrough to entrepreneurial adventure

From thinking you have the solution to creating a viable business is a long journey, says Kurt Nielsen. Partisia was an early adopter of a completely new technology, and it took many years before the market was ready to embrace it, he explains.

Along the way, one encounters a lot of resistance and difficult discussions about everything from strategy to finance. One must be prepared for that, and to have a chance at success, it requires the team to challenge each other, listen, and compromise when necessary.

What does it mean to have a background as a researcher when establishing a company?

“In my work as a researcher and lecturer at the University of Copenhagen, new ideas constantly emerge. I am driven by these ideas and gain energy from them. I believe that many researchers have the same driving force—the key to success with a product or a company lies in the commercial approach, and it varies greatly from researcher to researcher.

Not everyone has it, but there are incredibly talented basic researchers who have a good understanding of how to take an idea forward and who understand that it requires collaboration with people with different expertise to advance one’s idea.

Personally, throughout my university career, I have always been an ‘entrepreneur,’ and early in my career, I helped some friends start a company. However, the dot-com bubble burst, and I returned to the university for a PhD. while considering my future options.

Being an entrepreneur is a state of mind. You must constantly look for new opportunities and be interested in assembling strong teams.

This applies internally in a company and at the university when working together on research projects. The team is crucial.”

Where does this entrepreneurial spirit come from?

“That’s a good question. I have always sought out opportunities, trying to create something through my work and not be locked into a specific job for a lifetime. In reality, I have never considered myself an employee, even though I have received and continue to receive a salary as a researcher. It is the desire to create and develop that drives me.”

About Partisia
Partisia is a spinout from Aarhus University established by internationally renowned researchers and experts in advanced cryptography, business economics, and software development, with experience bringing research ideas to market. The combination of skills enables Partisia to deliver solutions that are both robust and highly innovative in a timely manner.

As a pioneer, Partisia has been selling secure multiparty computation (MPC) and other software solutions for privacy protection since 2008. Initially focusing on secure auctions for commodities such as production contracts, energy-related products, and auctions used for the sale of spectrum licenses.

Since the first commercial use, MPC technology has matured significantly, becoming more agile and notably faster, gradually transforming MPC into a generic infrastructure for privacy-preserving computations.

In parallel with this development, Partisia has developed infrastructure for managing encryption keys and a generic infrastructure for secure computation, as well as various applications across platforms from cloud computing to blockchain technologies.

As part of the commercialization strategy, selected companies have been moved and matured into separate spinouts alongside investors and other business partners, namely Sepior.com (cryptographic key management) and Partisia (applications and infrastructure combining MPC and blockchain technologies). In 2022, Sepior was sold to a major American blockchain company, Blockdaemon, and Partisia is now actively scaling up, focusing on quantum computers.

Read about DIREC’s focus area Digital Tech Startups

The Partisia team assembled in the summer of 2023

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ChatGPT ushers research into a new era – calling for new rules of the game

1 December 2023

ChatGPT ushers research into a new era – calling for new rules of the game

Language models like ChatGPT will change how we conduct research. To ensure transparency and maintain trust in research, a code of conduct should be drawn up, writes the Royal Academy in Altinget, an online Danish political review.

Authors of the opinion piece:

  • Kim Guldstrand Larsen, professor, Department of Computer Science, Aalborg University, member of Royal Academy
  • Susanne Ditlevsen, chair of the natural sciences class at the Royal Academy and professor at the Department of Mathematical Sciences, University of Copenhagen
  • Thomas Sinkjær, secretary general, Royal Academy and professor at the Department of Medicine and Health Technology, Aalborg University
  • Kristoffer Frøkjær, head of communications, Royal Academy

Israeli researchers recently produced a research paper in less than an hour with the help of ChatGPT.

Fluent and insightful, the article adhered to the expected format of scientific articles. The results, however, were nowhere near close to being novel. This will change in the future.

Read the Altinget opinion piece