Organizer: Dr. rer. nat. Claus-Peter Rückemann, Universität Münster and Unabhängiges Deutsches Institut für Multi-disziplinäre Forschung (DIMF) and Leibniz Universität Hannover, Germany
Email: ruckema@uni-muenster.de
This Symposium on Advanced computation and information in Natural and Applied Sciences focusses on information science, methods, structures, and architectures for high end computational and numerical applications and solutions. Information science, up to date scientific computing and information systems (software engineering, communication, and architectures), and knowledge and information focussed approaches are indispensable tools for progress and insight in various scientific fields, from prehistory, present to future scenarios.
We invite scientists and engineers from academia and industry creating, designing, using, and implementing information science based methodologies and methods, computation and information systems, High Performance Computing, cloud computing, and distributed computing for scientific research, engineering, education, and future Internet applications.
Authors are invited to submit original unpublished results, which are not under review in any other conference or journal, to the peer review for publication and presentation, for the following (-but not limited to-) topic areas of this symposium.
Information science
Information and data processing
Integrated frameworks for information and computation
Knowledge- and data-centric approaches
Data structures, data organisation, highly performance codes, optimisation
Parallel algorithms, OpenMP, shared memory, MPI
Efficient algorithms, parallelisation of algorithms and applications
Large scale and fast computation
Information and computing systems
Advanced software engineering, intelligent and autonomous systems
Software engineering for high end systems and applications
Supercomputing, High Performance Computing (HPC), Exascale
High End Computing (HEC), cloud computing, grid computing, distributed systems
Services computing
Database applications
Big data, large scale data storage, management, and visualisation
Programming paradigms, programming languages, parallelisation tools
Methodological and practical contributions
Advanced applications and algorithms
Epistemological fundaments, theory and practice
Multi- and inter-disciplinary frameworks and approaches
Prehistory, protohistory, archaeology, archaeo information science
Natural sciences, geosciences, planetology
Satellite and drone data processing and analysis, remote sensing
Geoprocessing, georeferencing, spatial sciences
Mathematical and numerical algorithms
Life sciences, humanities, medical applications
Simulation and modelling, genetic algorithms
Scientific data processing, advanced scientific computing
Computation frameworks and tools, computer science
Multi-disciplinary context integration and contextualisation
Multi-disciplinary coherent conceptual knowledge approaches
Knowledge complements (factual, conceptual, procedural, metacognitive, structural)
Knowledge resources, creation, mining, documentation, and development
Knowledge-based systems, education, e-learning, and e-science
Documentation, classification (UDC), resources, and evaluation context
Emerging technologies, networks and systems communications
Future Internet broadband services and applications
Resources and object certification, public key infrastructures
Knowledge and data integrity
Privacy and anonymity
Networks/systems measurement, control and management, simulation and emulation
Performance measurement
Web services and performance
Applications and benchmarking
Quality of Data, Context, service (QOD / QOC / QOS), auditing, assessment, governance
Legal informatics, technical-legal context, science and open access
e-Commerce, accounting, pricing, and billing
Use of distributed compute and storage resources
Energy consumption and management
Energy-aware mechanisms and energy-efficient technology for operation, control, and management
Configuration, reuse of software components
Resource allocation and management
System and data security; communication visualisation
Deadline for submitting your fully formatted paper (see guidelines, templates, and page limits on https://icnaam.org) for peer review: May 10, 2026 (final date).
Deadline for improved paper and sources: June 20, 2026 (final date).
Other deadlines and relevant information, e.g., regarding registration, can be found in the section of Dates of Importance, at https://www.icnaam.org