Skip to ContentSkip to Navigation
About us Faculty of Science and Engineering Data Science & Systems Complexity (DSSC) Beneficiaries

DSSC in Science

Data science and systems complexity lies at the heart of the development of future tools and methods for science. In this respect our research contributes, among others, to: Astronomy and particle physics, Systems and software engineering, Digital Humanities and AI, Law and Ethics .

Astronomy and particle physics

The DSSC addresses issues in Astronomy and Physics including: learning of models (data clustering, extracting information from multidimensional data), networks (geometrical learning, learning of cosmological models, and structure detection in the large scale universe by geometric and topological methods), large-scale computing and visualization (feature extraction and visual exploration of high-dimensional data sets, and e-visualization of Big Data; feature extraction techniques for the online reduction of massively streaming data).


Examples of relevant projects:

Testimonials

Astronomy is rapidly becoming a field of extraordinarily large and complex data sets that need state-of-the-art analysis techniques. Thanks to DSSC, collaborations have started with experts in pattern recognition and machine learning that allow my research group to make the next step in analysing our data.

Leon Koopmans, Kapteyn Astronomical Institute, University of Groningen.

Systems and software engineering

Contributing to Systems Engineering, the DSSC researchers work on topics such as time-series reconstruction and model identification, extreme events modelling, and large-scale statistical inference for high-dimensional data, analysis and synthesis of dynamical control systems, formation control, stability and control, systems-of-systems, and self-adaptive systems; dimension reduction plays a role in the control of multi-physics and resilient control systems, and (non)linear model order reduction for control systems; balancing, optimization, robustness, and controllability of networks; networks of systems, interconnection of systems, distribution networks, cyberphysical systems and cyber-security; software analytics; wireless ad-hoc networks, and context-aware systems; or engineering systems within a multi-discipline, multi-life cycle, multi-organization context.

The DSSC also produces insights for Software Engineering, in particular in data analytics: provisioning of cloud resources; exploration of massive software repositories; correctness of communication and transaction protocols; software visualization; visual analytics and interactive graphical systems, etc.

Examples of relevant projects:


Digital Humanities

The DSSC researchers provides machine learning tools to assist humanities researchers preserve and access multimodal artefacts, from text to visual and audio. Our members developed projects together with researchers from the Faculty of Arts and the Faculty of Theology funded with Horizon 2020 and international grants. Currently, a DSSC member is developing a NWA ORC proposal that involves a national consortium of AI and Humanities scientists, archives and repositories.

Examples of relevant projects:

AI, Law and Ethics

Based on expertise in multi-agent systems, the DSSC focuses on group decision making, forensic and law by addressing the perspective of agents acting in their environment and interacting with one another. Significant efforts go to the combination of logical and probabilistic techniques in order to support the development and application of a social, explainable, responsible artificial intelligence. In this area the DSSC researchers collaborate with colleagues from the Faculty of Philosophy and the Faculty of Law.


Examples of relevant projects:
Last modified:28 April 2021 4.17 p.m.