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Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Metabolomic data, usually from mass spectrometry or nuclear magnetic resonance spectroscopy, is highly complex and information rich. With continuing advances in metabolite detection technologies, the volume and complexity of data is ever increasing. Computational analysis of metabolomic data, from raw data processing to biological interpretation, is therefore fundamental to realizing the impact of metabolomics on a diverse array of application fields, e.g., environmental toxicity, industrial biotechnology, and biomedicine. This Dagstuhl Seminar extends the Computational Metabolomics series to examine how we can enhance the utility and interpretation of metabolomics data.

Computerprogramme,    Wissenschaftliches Rechnen und Datenwissenschaft

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

In-depth understanding of both hardware and system software layers turns out to be essential. A variety of conceptual as well as technical challenges need to be addressed. Emerging compute infrastructure imposes constraints on the design of discrete algorithms. Future developments are likely to imply even more fundamental adaptations of existing and emerging algorithms. Close collaboration of developers of algorithms with their colleagues from the high-performance computer industry turns out to be crucial for the formulation of meaningful requirements on both sides. We intend to focus on sparse linear algebra and graph algorithms while reaching out to a diverse set of representatives from industry combining expertise in modern accelerators, next-generation silicon, quantum and neuromorphic computing.

Numerische Analysis,    Computerphysik und Numerische Simulation

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Fair division concerns the allocation of resources to a set of interested entities, according to some fairness criteria. Fair division has remained an active research area over the years, attracting the attention of several scientific disciplines, such as mathematics, computer science, game theory, and political science. Especially within the last two decades, this area has gradually drawn significantly more attention, due to the emergence of novel solution concepts, algorithmic techniques, and promising applications. It has also gained increasing popularity within computer science, since many of the field's key questions are inherently algorithmic. Consequently, there has been a notable growth of the relevant literature by now, spanning numerous fascinating research directions.