The ever wider use of ICT in our society is reflected in the growing complexity of ICT systems and probably, the growing number of cyber criminals. These growing numbers impact the risk of cyber criminality adversely. Risk is an important concept in our research, it is the average impact of a given malicious interaction with an ICT infrastructure. Basically our research goal is to obtain the knowledge to create ICT systems that model their state (situation), discover by observations and reasoning if and how an attack is developing and calculate the associated risks.

Pandemie management is zeer complex, door sterk interacterende centrale en decentrale besluitvorming. Dit leidt onvermijdelijk tot onzekere gezondheidszorguitkomsten en afname van maatschappelijke veerkracht.. We ontwikkelen adaptief pandemie management om besluitvormers beter met deze onzekerheid en brede sociale domein effecten te leren omgaan met behulp van groepsgewijze modelbouw en pandemie simulaties.

Embryonic development inherently is a complex interplay between gene regulation, morphological changes of cells and tissue, and environmental conditions. In recent time significant progress has been made in identifying transcription factors and signalling pathways that regulate embryogenesis. Additionally, detailed time dependent morphological data on cells and embryos are available. One of the major challenges in developmental biology is to integrate all the data into spatiotemporal computational models that realistically describe the dynamics of embryogenesis. As a primary model organism Nematostella vectensis is used, the genome of this small sea anemone has been sequenced and is similarly complex to the human genome, with most classical developmental genes present. Together with other animals like corals, jellyfish and hydras, Nematostella vectensis belongs to the oldest eumetazoan phyla. Nematostella vectensis possesses bilateral symmetry and is diploblastic with only two distinct germ layers: the endoderm and the ectoderm, from which true tissues are formed. Compared to triploblastic organisms, which form true organs from the additional mesoderm germ layer, there are only relatively few morphological cell types present. This relatively simple body-plan makes it accessible for building biomechanical models of the developing embryo. This projects aims to design, test and investigate computational models of embryogenesis, primarily driven by experimental data. We aim to reconstruct the gene regulatory networks that determine body-plan formation during several early developmental stages. Furthermore, we want to get a better understanding on how genes interact with biomechanics. The models will allow us to investigate how multiple mechanisms involved in shaping the embryo leads to robust embryogenesis. By comparing Nematostella vectensis embryogenesis to related organisms the models can give insights into evolutionary aspects of embryogenesis. General applicable techniques will be developed for analyzing experimental data, multi-scale modelling mechanics of tissue and cells, modelling genetic regulation and signalling, parameter estimation and model analysis.

Over the last 5 years our group has been developing models for cell based blood flow, where each individual blood cell is explicitly modelled. These models have been implemented on large scale parallel computers. We have demonstrated the validity of the models, as well as initial parallel performance of the simulations, the later in an earlier project under the same name as the current proposal. The goal of the current proposal is to further increase the performance of the code, by taking into account load balancing strategies and efficient initial conditions, as well as to perform first production runs for much more detailed validation of the models, and finally to study transport of platelets in high Hematocrit blood flows.

Artificial Intelligence (AI) finds its way into impactful decision-making processes. We address the challenge of trustworthy AI implementation. How do computational, governance- elated and behavioral aspects impact the acceptance of AI by end users? The provisioning of VAT numbers by the tax administration serves as a prototype for our research.