Design Science Vision (DSV) is an interdisciplinary research journal that publishes high-quality papers focused on the built environment and its design interventions. The journal welcomes cross-disciplinary research bridges the gap between built environment design and fields such as data science, decision science, computational science and cognitive science. Priority is given to studies offering innovative solutions and fundamental insights into urbanization and the future of human living spaces. DSV provides both readers and authors with high visibility, emphasising interdisciplinary communication and ensuring accessibility to a broad readership. The journal maintains high standards in copy editing and production, rigorous peer review and rapid publication, as well as operates independently of academic societies and other vested interests.In addition to primary research, DSV publishes reviews, perspectives, communications and editorials. Through this approach, the journal aims to boost interdisciplinary research collaborations between scholars in architecture and related fields, serving as an international academic communication platform.Topics covered include, but are not limited to, the following themes:Decision science research providing fundamental insights and advanced technological solutions for high-quality buildings, sites, and urban spaces, including sustainable place-making, programming, as well as carbon-net-zero neighborhoods.Computational science research providing advanced algorithms to engage in design intervention and its iterations, especially focusing on the use of artificial intelligence in the built environment related studies and practice.Cognitive science research providing fundamental insights and advanced technologies in human behaviours and cognition in built environment, including life spaces from urban to rural, from polar to extraterrestrial, from real to virtual.Data science research providing possible explanation to the mechanism of regional/urban systems and urban dynamics, including governance, policymaking, and coordinated regional development related to the built environment.Editorial Board
Aims and scopeDesign and Artificial Intelligence (DAI) is a peer-reviewed international journal dedicated to advancing interdisciplinary research at the intersection of design and artificial intelligence (AI). The goal of DAI is to serve as a leading platform of scholarly exchange and innovation in the integration of design and artificial intelligence through a multidisciplinary approach.The journal aims to:facilitate research that bridges the gap between the design and artificial intelligence; promote the development and application of innovative AI technologies and methodologies in design contexts;explore the implications of AI on new design theories, practices and education; investigate human-computer (AI) interaction paradigms emerging from the integration of AI in design processes; and encourage critical discourse on the ethical, social, and cultural impacts of AI-driven design. Scope DAI welcomes original research articles, review papers, case studies and theoretical frameworks that contribute to the advancement of knowledge in this rapidly evolving field. The journal seeks submissions from researchers, practitioners and educators working in areas including, but not limited to, artificial intelligence, design theory and practice, and human-computer interaction. Artificial intelligenceAI algorithms and models for designAI tools and applications in design Empirical studies of AI technologies and systems Design theory and practice (with AI)Design theories and methodologies Social and cultural perspectives of design User research, prototyping, and evaluation methods Human-Computer (AI) InteractionHCI Theories, methods, techniques, and applicationsHuman-AI interaction Computational interactionEditorial Board
