Integration of artificial intelligence (AI) and data science (DS) approaches into product creation. Possible focal points include the handling of extreme data, data qualification and curation, cognitive technologies, multimodal AI approaches and data- or knowledge-driven approaches.
 

• handling of extreme data & data curation
   
• data-and knowledge-based approaches
   
• Symbolic,sub-symbolicandneuro-symbolicmodels&algorithms

Creating a synergy between human expertise and artificial intelligence (AI) in product creation in order to support and optimize decision-making processes. Focal points include the interaction between humans and AI in product creation and usability evaluation.

• explainability of DS/AI
   
• interfaces of DS/AI-systems
   
• usability of DS/AI-applications
   
• synergy of human expertise and DS/AI

Development of sustainable and resource-efficient products or production processes. Focal points include design for assembly, disassembly, reassembly and circular integrated production systems.

• circular product engineering
   
• circularity-enablingproduction systems
   
• circularity-oriented Design-for-X

Creating a basis for decisions during product creation, such as the selection of alternative solutions. Focal points include the design of concepts, methods or models for decision support or suitable software solution approaches.
 

• decision support design
   
• methods for decision support
   
• decision support models
   
• decisionsupport systems