ICT.OPEN2019 hosts the following tracks:

If you have questions regarding the possibility of participation in the individual tracks, please contact the track chair of that specific track; you can find the track chairs here.

For general questions about the tracks, you can contact the organizers through ictopen@nwo.nl.

Cyberphysical systems

Cyber-Physical Systems (CPS) are systems characterised by a tight interaction between computation, communication and control elements (the cyber part) and physical processes such as motion, heating/cooling, vibration, wear and tear (the physical part). Examples include automotive, transport, healthcare, manufacturing, and robotic systems. Any topic related to CPS is of interest, including embedded and real-time processing, embedded platforms, embedded networking, scheduling, safety-critical applications and mixed-criticality, multi-domain modeling, multi-disciplinary (co-)design, embedded, supervisory and feedback control, formal modeling and quality assurance.

For information about the Track committee, invited speakers and abstracts, please visit this page.


The research track organised by the three Dutch research schools ASCI, IPA and SIKS provides (15-20-minute) research talks covering the entire breadth of the fields of ICT, information and computing sciences. Whether you are a PhD student seeking to present his/her ongoing research to a broad audience of information and computer scientists, or an established researcher wanting to put a past, recent or upcoming research project in the spotlight, basically anything goes. Depending on the number of submissions, abstracts may also be accepted for poster presentation. For increased interaction, authors of abstracts accepted for oral presentation are encouraged to also present a poster.

For information about the Track committee, invited speakers and abstracts, please visit this page.

Artificial Intelligence:

AI is changing the way we live and work and has the potential to address society’s grand challenges. At the same time, these advancements pose challenges regarding AI’s development and integration into society in a responsible way; for example, concerning the huge amounts of training examples and massive computing resources required by deep learning, and how to account for human values in AI development. This track aims to provide a showcase and forum for connecting Dutch research across the wide range of AI research we conduct, for example in the areas of machine learning, deep learning, transfer learning, interpretability, reinforcement learning, information retrieval, human-machine collaboration, crowdsourcing, computer vision, medical imaging, natural language processing, knowledge representation and reasoning, cognitive modeling, and multiagent systems. Moreover, the track aims to demonstrate how we address human-centered and societal aspects of AI, striving towards transparent, explainable, fair (i.e., free from hidden bias), and socially compatible AI that is developed and deployed based on careful consideration of the disruptions AI technology can cause.

For information about the Track committee, invited speakers and abstracts, please visit this page.

Autonomous systems:

Autonomy is more and more present in our society due to the advanced sensor and actuator systems. An example that is often used and will have significant impact on society are autonomous cars on our highways driving close to each other, taking into account each others behaviour without human intervention. This principle is also very useful for e.g., the ongoing 4th industrial revolution (smart industry) in relation to industrial robotics, smart energy systems, and smart cities to mention just a few. A few keywords related to this theme are autonomous robotics, autonomous vehicles, networked autonomous systems, sensor systems, mechatronics, bio-robotics, modeling, and modern control, to mention just a few.

For information about the Track committee, invited speakers and abstracts, please visit this page.

Software Engineering Technology (Organised by Versen):

Society and industry is ever more dependent on software, and many organisations crucially depend on business-critical or safety-critical software. Major challenges in the area of software engineering are how to guarantee software reliability, how to have sufficient flexibility to adapt software to new requirements and possibilities, and how to deal with the growing complexity of algorithms and software systems. The SET track at ICT.OPEN 2019, organised by Versen – the association of software engineering researchers in the Netherlands, is a meeting place for researchers and practitioners in the field, as well as for everybody that is interested in understanding how to develop reliable software in a more efficient way. The track will present a selection of the best Dutch research in software technology and engineering of 2018. We invite researchers to submit their best publication of 2018. From the submissions we will make a representative selection for presentation. Furthermore, we will select the best SET paper of 2018. In addition, during the track the Versen PhD award for the best PhD thesis in Software Engineering Technology will be presented. Please submit the title, paper abstract, and a link to the published version or a PDF in EasyChair.

For information about the Track committee, invited speakers and abstracts, please visit this page.


What is the best recipe for valorisation? And what are the ingredients needed to get the best result? Since 2005 valorisation of science and research is a one of the statutory tasks of a University in the Netherlands. But, are we successful? What are the best practices and which lessons have been learned? How can your research create new inventions and innovations, leading to meaningful products and services in a strong digital Europe? And what’s in it for you? If you would like to get a better understanding of how your research can contribute to valorisation, three inspirational and interactive sessions give you the right tools to create a good recipe with the best ingredients.

For information about the Track committee, invited speakers and abstracts, please visit this page.


The digitalisation of the health and care domain has the potential to make medicine more precise, improve early diagnosis and prevention as well as to provide tailored interventions to different subgroups, increasing the effectiveness of health care delivery and policies. However, learning from health data and processes provides challenges for analysis, machine learning and data management given the regulatory frameworks.
This track aims to provide an overview of various approaches to digital health including: techniques and applications of ICT in healthcare, wellbeing and life sciences, including health information systems, data analytics, explainable AI, medical imaging, visualisation, clinical decision support, personalised medicine, mHealth/ eHealth, persuasive technology, data integration and stewardship.

Sharing data:

Organisations increasingly store data with the objective to perform analyses enabling better decision making. Organisations also consider such data an asset: it represents value and carries risk. To create willingness of organisations to share their data to support a common benefit, value and risk are examples of elements that must be carefully considered. In this track we solicit abstracts for 15 min. talks, discussing for example requirements, mechanisms, methods, technologies, business, legal, security, governance, and other aspects that will help enable organisations to share their data, ultimately advancing innovation, wellbeing and our data economy.

For information about the Track committee, invited speakers and abstracts, please visit this page.

Security & Privacy:

Security and Privacy issues arise in nearly all stages in the digitalisation of our society. Examples include the smart home or the smart car that need to be secured against unauthorised access or malicious remote control. And the right to privacy becomes ever more important with the growing integration of digital technologies into our daily lives; think about maintaining data privacy of our electronic health records to prevent abuse and discrimination or the problem of browser/device fingerprinting and the creation of unique digital footprints with our every move online. In this track, we deal with the multidisciplinary challenges around security and privacy in the digital society; discuss current and upcoming problems as well as mitigation strategies in order to pave the road for a secure and privacy-preserving future! The track covers (a.o.) the following topics: (embedded) systems security, physical attacks, privacy enhancing technologies, network security, machine learning in security and privacy,  and (applied) cryptography.

For information about the Track committee, invited speakers and abstracts, please visit this page.