Integration of approaches from Artificial Intelligence (AI) and Data Science (DS) into product development. Possible focus areas include the handling of extreme data, data qualification and curation, cognitive technologies, multimodal AI approaches, as well as data- or knowledge-driven methods.

• Handling of extreme data & data curation
• Data- and knowledge-based approaches
• Symbolic, subsymbolic, and neurosymbolic models & algorithms

Creation of a synergy between human expertise and Artificial Intelligence (AI) in product development in order to support and optimize decision-making processes. Focus areas include the interaction between humans and AI in product development as well as usability evaluation.

• Explainability of DS/AI
• Interfaces of DS/AI systems
• Usability of DS/AI applications
• Synergy between human expertise and DS/AI

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

• Circular product engineering
• Circular-capable production systems
• Circular-oriented Design-for-X

Creation of decision-making foundations in product development, for example in the selection of solution alternatives. Focus areas include the design of concepts, methods, or models for decision support, as well as suitable software-based solution approaches.

• Design of decision support
• Methods for decision support
• Models for decision support
• Decision support systems