Topics

• New directions in design theories, models and frameworks
• Experimental design research methodology
• Multidisciplinary and cross-domain research methods
• Design research typology

Design science has a long history of research activities associated with it. However, the establishment of credible, convincing, and well-supported new theories and innovative research approaches is a continuing task. Undertaking design research is difficult because of the number of issues associated with design, evaluating models and methods by 'experiments' with industrial collaborators, generating large enough data sets, or validating results in quite different design situations. Papers focused on multidisciplinary research approaches and new research infrastructure are of particular interest in this core area.

• Organisational transformation by design for Industry 4.0
• Agile design workflows
• Co-creation, co-design, and participatory design strategies
• Team collaboration and communication
• Innovation strategies (open, social, frugal, digital)

A critical factor in the effectiveness of designers and design teams is how they are organised and managed. This core area deals with strategies and managerial practices related to design work with its manifold relations to internal partners, suppliers and customers. There is a wide variety of product-, company- or branch-specific approaches to structure and support development processes. Contributions in this topic should address strategic management, risk management, distributed and virtual design processes, the supplier/designer interface, digitalisation strategies, agile processes and techniques. The research findings on co-design, various collaboration/coordination/cooperation types and approaches, design teams and communication studies and the role of the design process for open and social innovation are welcome.

• Design representations and information structuring
• Decision-making rationale and support
• Standardisation and design knowledge automation
• Knowledge-based engineering

The provision of the appropriate amounts of high-quality and relevant design information and knowledge is critical to a product's success or system design and development. The key research areas, such as search strategies, information and knowledge reuse, and knowledge-based decision-making support, require multidisciplinary approaches focusing on people, processes, and content. Examples of design information and knowledge management strategies that have been evaluated in practice are of particular interest in this topic.

• Modularisation, platform-based design, and product families
• Requirements, uncertainty, and change management
• Prototyping methods, tools, and modalities
• CAx/PDM/PLM and digital thread integration
• Usage of supportive methods and tools

Novel design methods and tools are essential for the effective delivery of high-quality products and technical systems. They support different stakeholders in different tasks and phases within the engineering design process, from requirements engineering and conceptualisation to embodiment and detail design, as well as in managing data and changes throughout the product's lifecycle. Papers submitted to this topic are expected to introduce new design methods or tools and assess how their application can contribute to the design process's overall effectiveness.

• Design thinking and problem-solving
• Neuro(cognitive) approaches in design
• Behavioural factors in design
• Supporting design creativity
• Measuring creativity and its impact in design

The human aspect of the design is crucial, and its impact is arguably twofold. First concerns the designer's role in producing products and systems that relate to the users themselves. The second concerns the way that the designer can be supported to be more creative and innovative. The topic includes studies of design thinking and cognition and encompasses interdisciplinary approaches to studying and assessing creativity. The topic invites research on creativity methods, theories, and processes. The studies fostering creativity in and through intersecting design with other domains (e.g., biology) are of particular interest. In addition to other research in the engineering design field, any cross-reference to works on human aspects is of interest. Papers dealing with any dimension of human behaviour are welcome.

• Sustainability-driven product and system design
• Circular economy strategies in design
• Eco-design and sufficiency-based innovation
• Technology integration for sustainable design
• Design for social sustainability

Design for sustainability covers a solution-oriented and purpose-driven sub-field in the intersection between sustainable development and design disciplines. It goes beyond eco-innovation, environmental friendliness, or cleantech to encompass any intentional design of products, services, systems, or product-service-systems, which through its conceptualisation and function facilitates a (behavioural or structural) change that promotes greater levels of sustainability. Contributions to this topic should explore and define the research agenda of interdisciplinary design research needed for moving toward a sustainable society and circular economy.

• Strategies for managing healthcare ecosystems
• Digital health systems and telemedicine
• User experience in medical service design
• Ethical and safety considerations in medical technology
• Life sciences and design

Health represents one of our society's main challenges, and various issues related to its processes and infrastructure might benefit from design approaches and strategies. This topic area should introduce the system and design approaches/technologies to tackle diverse healthcare concerns and improve existing practices. Contributions in this topic should address design approaches and techniques for enhancing healthcare systems, services, and experiences. Design science responses to the challenges of the global pandemic are welcome.

• Design approaches for AM
• Digitalisation and optimisation of AM workflows
• Topological optimisation frameworks
• Multi-material AM design
• Performance benchmarks and certification in AM

The additive design process empowers engineers to create more intricate shapes and production parts while reducing weight and material consumption. Additively manufactured products can also be mass-customized to fit the physiology or preferences of their end-user, optimized for performance, reduce material wastage, simplify the supply chain, and (almost as a by-product) have an aesthetically pleasing organic appearance. Contributions in this topic should address design approaches and techniques for additive manufacturing. Papers discussing part consolidation approaches, architected materials, generative design and topology optimisation are welcome.

• AI-driven generative design
• Machine learning for product development
• Large Language Models (LLMs) assisted design
• Data-driven and data-informed design processes
• AI for smart product-service systems

AI (Artificial Intelligence) has become an over-hyped buzzword across many industries, and the engineering design and product development world is no exception. There are ongoing conversations between designers and developers around the future impact of AI technologies and how design as a process may change. Also, by introducing AI as part of the products and services, new relationships will need to be established between customers and products. This also opens a need to bring the necessary empathetic context for innovation, which is how a business will succeed with AI and what AI can and should do for future products and services.

• User-centred and inclusive design
• Aesthetics and visual impression
• Social relationships and emotional design
• Ergonomics and human-centred usability

Industrial design is a process of design applied to products that are to be manufactured through techniques of mass production. It is influenced by factors as varied as business strategy and prevailing social, commercial, or aesthetic attitudes. It combines art, business, and engineering to make products that people use every day. User-cantered design, product semantics, and emotional design are some of the approaches used to create products that deliver a positive experience. The research papers systematically discussing methods and tools relevant for industrial/product designers are welcome under this topic.

• Architecting cyber-physical and IoT systems
• Simulation and virtual testing of complex systems
• Model-based systems engineering (MBSE)
• System-of-systems integration and validation
• Safety, resilience, and robustness in engineering systems

The interdisciplinary topic of systems engineering and design focuses on the interactions between complex systems elements and brings together basic sciences, engineering analysis, and engineering design. It relates systems engineering with design methodology and practice to explore the design process's role in systems engineering. Contributions to this topic should support product integration in complex systems and promote understanding of cyber-physical and socio-technical systems design.

• Competency and skills development
• Digital and remote learning
• Project- and problem-based learning
• Emerging tools in design education
• Adaptive learning frameworks

Design education must be tailored and conceptualised according to the newly emerging needs to prepare future designers and engineers for their working environment and foster lifelong learning. This topic deals with the analysis of existing design education approaches, as well as the development of new learning and teaching methods in various design contexts. Contributions in this topic are expected to focus on educational methods, design courses and curricula, digital and virtual education, industrial support of educational efforts, and impact of social and cultural aspects on design education.

• Geometrical modelling and advanced CAx applications
• Advanced visualisation and virtualisation cases
• Case studies of design methods application
• Best design practices from industry

Case studies describing the in-depth, multi-faceted understanding of complex design issues in their real-life context are key for establishing future design research directions. Different engineering design methodologies applied in engineering practice that demonstrate engineering competence, experience, and usefulness of the design methods and tools for development, manufacturing, maintenance, and disposal are of particular interest to the design research community. The contributions illustrating a wide variety of design activities and situations and explaining the best practices applied in the industrial context are expected in this topic.