Opening

Towards a transdisciplinary design and process science

Objects of studies of supra-disciplinary design and process science, research approaches and methodologies, state of the art of theories and practices, and future prospects. If mechanisms are a natural or established purposeful process flows, then how about the mechanisms to synthesize the knowledge and methods of mono-, inter-, multi- and trans-disciplinary sciences into a framework of supra-disciplinary research?

Break ( 13:00pm-13:30pm )

Comprehension of implementation science

It takes 17-20 years to translate clinical innovations into practice, and fewer than 50% of clinical innovations are ever adopted into general usage. How to accelerate the real-world implementation of evidence-based interventions to improve population health?

2:30pm–4:00pm

Creativity versus design creativity

Addressed are questions such as: What is the difference between general creativity and design creativity? How to measure and model them through computational, behavioral, cognitive, and neurocognitive approaches? Is there a unified scientific framework to embody creative cognition, creative mechanism, creative behaviors, and creative results? How might LLM technologies impact on creativity, design creativity and designer creativity?

How do next generation researchers see Mode 2 science?

What is the vision, opinion, and expectation of Ph.D. students on problematics such as scientific convergence, transdisciplinary knowledge, collaborative research, knowledge synthesis, cross-disciplinary inquires, social/cultural aspects, etc.?

Intellectualized cyber-physical systems

What are the deeper theoretical fundamentals and the operational and implementation principles of a dependable intellectualization and socialization of next-generation cyber-physical systems?

Break ( 13:00pm-13:30pm )

Design Thinking for Data Science

This workshop revisits design thinking ideas and explores possibilities of applying them in the dynamic field of computing, where everything is changeable, moveable, wireless, automated and human/machine augmented. At the same time, we have to look at data science practices, their constant dependence on predictive inference and find out if they may create environments for sustainable, fair and trustworthy AI in modern computing. Would a synergy between design thinking and data science help?

Design and 4D Printing

This session will open a venue for researchers in 4D printing and share different perspectives on this emerging technology and the industrial transition. There will be panelist presentations and discussions on information models and repositories, design processes, 4D printing processes, and materials included.