Low-poly modeling as an emerging field in visual arts, product design and architecture has an essential effect both on the designer's and the viewer/user's experience. It has an advanced abstraction ability over the reconfiguration of form. This paper examines the visual features of low-poly form in terms of the computability of its aesthetics. A visual feature classification is made by referencing George David Birkhoff's aesthetic measure theory based on the complexity and order relationship. Topo[i]wall installation has been examined as a case study during the analysis. The relationship between form, computation, aesthetics and human-computer interaction are elaborated according to the results. It has been observed that low poly modeling offers a variation set in terms of compositional features, which are proportion, balance, vertical and horizontal network system while protecting its unity through the analysis of the generated computational model.

Research related to climate concepts has started to be more interdisciplinary with the climate change awareness. Climate action, and climate-positive design research topics are common notions among design disciplines, especially in architecture and landscape architecture. It can be said that computation, digitalization, performance-based simulations of environmental effects, and production methods in digital design are initial topics that come to the forefront concerning methodology. The reflections of these methodologies differ according to the aims and objectives. This paper aims to examine which notions and word phrases are used in the literature on climate in digital design research in a comparative way. Within this scope, The International Journal of Architectural Computing (IJAC) and The Journal of Digital Landscape Architecture (JoDLA) are chosen as academic resources indexed in the Scopus. To obtain the differentiations on climate-related concepts and their associations with other fields in an interdisciplinary manner; published research articles' titles, abstracts and keywords are defined as datasets. The examination is conducted through the data mining method as a deductive approach, using the main words are separated and associated with various phrases, and binary term occurrences. The outcomes are visualized through a map to reveal the relations of the notions that occur in the research. The findings reveal that both disciplines work on environmental issues from the context relationality stage. Although landscape architecture seems to be more related with the environment, climate and ecology trio, the binary-term occurrences show that there is not much difference in the research rates. Nevertheless, considering the close relations with environmental and climate issues in the landscape architecture discipline, the specialization is not high in terms of computational approaches regarding architecture. It is anticipated that this research may be used in future interdisciplinary literature and methodological approaches in digital design research in architecture and landscape architecture.

This study presents a pedagogical experiment on the integration of AI into the project studio in the early stages of design education. The motivation of the study is to support creative encounters in design studios by promoting student-design representation, student-student, and student-artificial intelligence (AI) interaction. In the scope of this study, a short-term studio project is used as a case study to examine these creative encounters. The experiment covers five stages that enable a recursive analysis-synthesis action. The stages include (i) precedent analysis of a given set of building façades images, (ii) feature extraction, (iii) composing new façade representations through employing previously generated features, (iv) training an AI by the use of styleGAN2-ADA with the outcomes of stage 3, (v) Use of synthetically generated façade images as a design driver. The pedagogical experiment is evaluated through the lenses of novelty, style, surprisingness, and complexity concepts. The challenges and potentials are introduced, as well as elaborations on the future directions of the interplay between AI-oriented making and first-year student making.