{"id":3149,"date":"2022-06-20T22:19:48","date_gmt":"2022-06-20T22:19:48","guid":{"rendered":"https:\/\/www.sigradi.org\/sigradi2022\/?page_id=3149"},"modified":"2022-10-25T04:56:35","modified_gmt":"2022-10-25T04:56:35","slug":"workshops_e_en","status":"publish","type":"page","link":"https:\/\/www.sigradi.org\/sigradi2022\/workshops_e_en\/","title":{"rendered":"Workshops"},"content":{"rendered":"\t\t
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Workshops ONLINE EVENT<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Online Event:<\/span><\/strong> November 7th-8th, 2022
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The workshops will take place on November 7th and 8th. SIGraDi 2022 workshops will occur online via Blackboard Collaborate or similar video conferencing platform. The workshops at SIGraDi are an opportunity for students, teachers and professionals from Latin America to explore the possibilities of digital technologies as allies of the design process, sharing their experience with their peers from different parts of the planet. As in every year, we are sure that it will be an enriching and knowledge space that promotes appropriations.<\/span><\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Workshops Registration
deadline October 17, 2022<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t7 workshops in english with 101 seats<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Seats available<\/div>\t\t\t
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W1. Biomimetic Design and Prototyping: A digital toolkit for designers<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Time Converter<\/div><\/div><\/a><\/div>
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Topics<\/div>
Design, Nature and Ecosystems, Bio-Inspired Design, 3D printing<\/div><\/div><\/a><\/div>
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Requirements<\/div>
Rhinoceros3D, Grasshopper, Ultimaker Cura. Basics knowledge of Rhino and Grasshopper, basic understanding of 3D printing<\/div><\/div><\/div><\/div>
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Day 1<\/div>
Introduction to biomimicry; Presentation of biological structures, biomimicry tools and databases; Exploration of modeling tools in Grasshopper; Participant work in groups<\/div><\/div><\/div><\/div>
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Introduction to 3D printing; 3D printing and biomimicry; Participant work in groups; Feedback and guidance; Final presentations<\/div><\/div><\/div><\/div>
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Workshop leaders<\/span>:\u00a0Alexandros Efstathiadis<\/a>\u00a0 &\u00a0Ioanna Symeonidou<\/a>,\u00a0University of Thessaly<\/em>, Volos, Greece<\/p>

\u0392iomimicry is\u00a0 the interdisciplinary science that studies nature\u2019s models and draws inspiration from them to solve contemporary design challenges. However, processing, evaluating and imitating biological systems can be a daunting task for designers and architects. For this reason, specialized methodological tools have been developed to assist the biomimetic design process and bridge the existing knowledge gap. Furthermore, advancements in parametric, generative CAD software enable the extraction and emulation of complex biological structures. Algorithmic design allows for the generation of unlimited design permutations through a series of interactive parameters that can be altered by the user on-demand and in real-time, according to design requirements. Intricate biomimetic structures surpass the technical capabilities of traditional fabrication technologies. However, progress in additive manufacturing (AM) technologies like fused filament fabrication (FFF), enables the production of complex topologies. In nature, the information that guides the building process is stored in the DNA of organisms. Similarly the data that dictates the 3D printing of a model is stored in the form of a .gcode created by specialized slicing software.\u00a0 Biomimetic design combined with 3D printing is driving a paradigm shift in sustainable design. The workshop will provide an analytical strategy that will enable designers to extract, emulate and prototype biomimetic structures. Initially, the concept of biomimicry will be introduced. A variety of biological structures will also be presented along with specific biomimetic tools and databases. Afterwards, a series of algorithmic and parametric modeling tools and plug-ins will be explored in Rhinoceros 3D and Grasshopper 3D. In the end, the models will be transferred to the slicing program Cura where the .gcode for the AM process will be generated. The intricacies of 3D printing complex biomimetic geometries will be analyzed.
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W2. Torres param\u00e9tricas: a tect\u00f4nica da concep\u00e7\u00e3o algor\u00edtmica \u00e0 fabrica\u00e7\u00e3o digital<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Topics<\/div>
Manufacturing and Industry 4.0, Digital Fabrication, Digital Tectonics, Computational Design Processes<\/div><\/div><\/div><\/div>
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Requirements<\/div>
Rhinoceros (RH) 6 ou 7, Grasshopper (GH), Lunchbox (GH plug-in) and Conhecimento b\u00e1sico de RH e GH\/ PC ou Laptop (min CPU i7 ou AMD equivalente - RAM 8GB recomendado) <\/div><\/div><\/div><\/div>
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Day 1<\/div>
1) Introdu\u00e7\u00e3o te\u00f3rica ao tema da tect\u00f4nica digital\/ 2)Tutorial Rhino + Grasshopper (torre param\u00e9trica)\/ 3) Apresenta\u00e7\u00e3o e in\u00edcio da atividade (divis\u00e3o em grupos e desenvolvimento das torres)<\/div><\/div><\/div><\/div>
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Day 2<\/div>
4) Continua\u00e7\u00e3o do desenvolvimento das torres; 5) Prepara\u00e7\u00e3o dos arquivos para fabrica\u00e7\u00e3o (orientado pelos ministrantes)\/ 6) Apresenta\u00e7\u00e3o e discuss\u00e3o dos resultados<\/div><\/div><\/div><\/div>
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Workshop leaders<\/b>:\u00a0Ana Carolina Vicente & Wallace Dornelas,\u00a0Universidade Federal de Vi\u00e7osa<\/i>, Vi\u00e7osa, Brasil<\/p>

Esse Workshop pretende aplicar os entendimentos acerca da tect\u00f4nica digital, assim como a manipula\u00e7\u00e3o de seus elementos fundantes, desde a fase de concep\u00e7\u00e3o param\u00e9trica, atrav\u00e9s do Grasshopper, at\u00e9 a de fabrica\u00e7\u00e3o digital. Para isso, inicialmente ser\u00e1 dada uma introdu\u00e7\u00e3o te\u00f3rica \u00e0 tect\u00f4nica digital, com foco nos principais autores que trataram do tema, e dos seus elementos (Estrutura, Manipula\u00e7\u00e3o, Material, Constru\u00e7\u00e3o e Intera\u00e7\u00e3o), propostos por estudos recentes. Em seguida, a fim de possibilitar o desenvolvimento de torres param\u00e9tricas, ser\u00e1 ministrado um tutorial utilizando Rhinoceros + Grasshopper (e o plug-in Lunchbox), cujo foco ser\u00e1 explorar componentes como a estrutura, pavimentos, envolt\u00f3ria, manipula\u00e7\u00e3o formal e materialidade das torres, considerando os fundamentos da tect\u00f4nica e as possibilidades de fabrica\u00e7\u00e3o digital (impress\u00e3o 3D ou corte \u00e0 laser). Para isso. Espera-se que os participantes possam compreender como considerar os elementos da tect\u00f4nica nos processos de projeto computacionais, aliando de maneira declarada as dimens\u00f5es funcionais e art\u00edsticas da arquitetura.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Topics<\/div>
Programming Cultures, Data Analytics, Big Data, Location Based Social Network Data, Foursquare<\/div><\/div><\/div><\/div>
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Requirements<\/div>
Python (latest version), Python (Advanced), PC or Laptop, one Mapbox account for each team, one Foursquare\u2019s Places API account for each team<\/div><\/div><\/div><\/div>
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Day 1<\/div>
Setting goal for each team, creating an algorithm to convert the data into the targeted information, coding the algorithm in Python, computing the process on Gephi, visualizing the results on Mapbox<\/div><\/div><\/div><\/div>
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Day 2<\/div>
4) Continua\u00e7\u00e3o do desenvolvimento das torres; 5) Prepara\u00e7\u00e3o dos arquivos para fabrica\u00e7\u00e3o (orientado pelos ministrantes)\/ 6) Apresenta\u00e7\u00e3o e discuss\u00e3o dos resultados<\/div><\/div><\/div><\/div>
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Workshop leader:<\/b> Yasin Kutay Y\u00fcnc\u00fcler, Keio University<\/i>, Tokyo, Japan<\/p>

urbanGraph()\u00a0is a digital tool developed to collect data from Foursquare and designed for architects and urban designers, including those with no programming skills. Thus, the workshop’s primary goal is to discuss the potential of urbanGraph() for urban design and management on different scales and in various scenarios. With this motivation, participants will be asked to convert the data about a city they choose into knowledge while recording their process to be represented as an algorithm later. When all teams complete this phase, the accuracy of these algorithms will be tested by applying them to the cities other teams picked.\u00a0 Considering the dataset collected by urbanGraph() as a directed graph, applying various algorithms proposed by graph theory is broadly possible. Also, some analysis functions are already designed by the lecturer and participants of previous events of this workshop series. So, the participants of this session will be allowed to utilize both the graph theory algorithms and mentioned Python functions. Moreover, teams will be encouraged to develop their original functions to analyze data. Eventually, all functions, algorithms, and maps produced during the workshop will be exhibited digitally.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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W4.\u00a0Optimizing into the probable future: predictive models of sustainable building performance<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Topics<\/div>
Climate Change; Design Space; Machine Learning; Data Visualization; Sensitivity Analysis<\/div><\/div><\/div><\/div>
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Requirements<\/div>
Previous install of Rhino, Grasshopper, JMP, Excel, EnergyPlus, Open Studio, Radiance, Honeybee & Ladybug, TT_Toolbox, Lunchbox, Excel, and Weka for ML. Personal computer software compatible and basic knowledge of Rhino and Grasshopper<\/div><\/div><\/div><\/div>
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Day 1<\/div>
Climate Model Scenarios; Generative Design; Parametric Analysis: Data Visualization<\/div><\/div><\/div><\/div>
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Day 2<\/div>
Sampling the Design Space; Sensitivity Analysis; Predictions-based Machine Learning; Decision Making<\/div><\/div><\/div><\/div>
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Group<\/div>
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Workshop leaders:<\/b> Marcelo Bernal, Ph.D., Perkins&Will Design Process Lab<\/em>; Victor Okhoya, Ph.D., Perkins&Will Design Process Lab<\/em>; Tyrone Marshall, AIA, NOMA, LEED AP BD+C, Perkins&Will Energy Lab<\/em>; Cheney Chen, Ph.D., Perkins&Will Energy Lab<\/em>: Mohamed Imam, Ph.D., Perkins&Will Vancouver<\/em><\/p>

We aim to lead a hands-on discussion that asks how we might consider and anticipate the impact of climate change on buildings and the environment to speculate, imagine, and innovate new models of design intervention that can modulate better performance outcomes in an uncertain future. Although parametric analysis is an emergent data-driven approach to building performance analysis, few practitioners understand effective methods of evaluating parametric analysis data. Furthermore, even fewer understand predictive models and how to estimate uncertainties. In these two days\u2019 workshops, the participants will learn how to simulate performance models based on weather files that represent different scenarios for climate changes (current, 2050, and 2080) and then generate design alternatives, analyze the performance of large design spaces, sample large design spaces, interpolate simulated data using machine learning predictive methods, visualize data for qualitative data exploration, and perform sensitivity analysis for quantitative assessment and estimation of the contribution of individual parameters in the overall performance.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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W5. AR + Design: augmented reality immersive design method<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Topics<\/div>
Interactions and Collaborations, Mixed Realities (AR), Immersive Design<\/div><\/div><\/div><\/div>
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Requirements<\/div>
Rhinoceros 6 or greater, Grasshopper, Fologram (free), Basic Knowledge of Rhino and Grasshopper, WIFI (network), Printer (optional)<\/div><\/div><\/div><\/div>
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Day 1<\/div>
AR introduction; Basic AR interactive functions for design inputs; Design algorithm development<\/div><\/div><\/div><\/div>
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Day 2<\/div>
AR immersive design workflow demonstration; Structural stability simulation; Participant design algorithm development and final outcome <\/div><\/div><\/div><\/div>
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Group<\/div>
9 participants<\/div><\/div><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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Workshop leader: <\/strong>Yang Song<\/a>, University of Liverpool<\/em>, UK

<\/strong>W5 aims to introduce the knowledge of exploring immersive parametric design through the Augmented Reality (AR) environment. As the quintessential 3D-4D design field, architectural design has been limited throughout its history by 2D or cumbersome 3D representation. Even though computer-aided architectural design and modelling software is widely used to produce digital 3D models, the conventional screen-based visualization methods for design and analysis are restrictive to how well the user understands the space on a computer screen, as the design is done outside the building site, hence there might be disparities between the design and final. This limitation may be eliminated by AR technology, which has become readily available, together with tools facilitating the easy creation of 3D-4D models as holograms onsite. Furthermore, with its interactive input features, AR can increase the potential for interaction between humans and data. As we immerse ourselves into rapidly developing AR, this technology can also radically change how one interacts with and experience the built environment, enhancing or altering or adding a new layer of information to the surrounding environment. This workshop explores how AR technology can change the ways of architectural design. Ideas like immersive design, as well as real-time modification experience and interaction with the built environment and the metaverse, will therefore actuate as the central core for the research streams.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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W6. Get your Ph.D. done!<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Topics<\/div>
Ph.D., Education, Decision Making<\/div><\/div><\/div><\/div>
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Requirements<\/div>
Software (N.A.). Pursuing a Ph.D.\/doctorate degree, consent to share your experience, actively participate, complete worksheets<\/div><\/div><\/div><\/div>
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Day 1<\/div>
Why haven\u2019t you finished?, Time management, Decide in advance<\/div><\/div><\/div><\/div>
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Day 2<\/div>
Owning (your topic), Writing (your dissertation), Becoming (a Ph.D.)<\/div><\/div><\/div><\/div>
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Group<\/div>
16 participants<\/div><\/div><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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Workshop leader<\/strong>: Dr. Paula Gomez Z., Georgia Tech Research Institute<\/em>, Atlanta, USA

<\/strong>Finish your Ph.D. in a defined period of time. This is a participatory, non-specific topic workshop. It will cover techniques to get your Ph.D. done by understanding the drivers of your progress. It requires active participation, teamwork and sharing your academic experiences with the instructors and other participants. The outcomes are two. First, a deep understanding of a set of techniques to be able to finish the dissertation, and second, an implementation plan for the milestones: Qualifying paper and exam, topic proposal, dissertation writing, Ph.D. defense, and graduation!<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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W7. Architectural Intelligence: Multimodal Machine Learning Applications in Design<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Topics<\/div>
Programming Cultures, Machine Learning, Generative Design, Neural Networks, Metaverse<\/div><\/div><\/div><\/div>
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Requirements<\/div>
Houdini Apprentice (free version), Rhino & Grasshopper and Python will be provided; Google Colab (1 month subscription $9.99), Intermediate knowledge of Rhino; a basic understanding of scripting languages and Houdini is welcome but not a requirement.<\/div><\/div><\/div><\/div>
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Day 1<\/div>
Students will develop three sequential exercises related to 1) envelope making; 2) plan making; 3) a quasi-architectural or metaverse proposals to challenge the first two assignments. <\/div><\/div><\/div><\/div>
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Day 2<\/div>
Creating constructible and discretized forms that hybridize the 2D image outputs. The two primary workflows that we shall delve into are a NURBs based creation of forms in Rhino and several Grasshopper plugins (Monolith, Pufferfish, MeshEdit, Human, Python etc) and vozelized space-based methods using Houdini. <\/div><\/div><\/div><\/div>
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Group<\/div>
20 participants<\/div><\/div><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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Workshop leaders:<\/b>\u00a0George Guida<\/a>\u00a0&\u00a0Indrajeet Halder,<\/a>\u00a0Harvard University, GSD<\/i>, Cambridge, USA<\/p>

We have now reached a historical moment of convergence between text and image processing, bringing forward new multimodal creative processes. Dalle2, StableDiffusion, and Midjourney are challenging current cultural practices of architectural production where a single text input can generate thousands of novel images. This workshop will reposition the role of language and semantics within architecture and introduce students to the opportunities of text-image models and 3D form generation for early design stages.\u00a0 Generated through a combination of the latest machine learning (ML) models, students will be taught how to generate images from text inputs, and use these to inform a computational process of 2D to 3D reconstructions. The parameters behind each model and semantics specificity of each text input establish a new creative exchange between human and machine, where human agency finds new meanings. Following an introduction to ML applications architectural design, students will develop three sequential exercises related to 1) envelope making; 2) plan making; 3) a quasi-architectural or metaverse proposals to challenge the first two assignments. The course thus engages ways to reposition language within the design process through new methods and design metrics and considered these practices as challenging current cultural practices of architectural production.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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W8. M\u00e1s all\u00e1 del muro impreso: Especulaciones arquitect\u00f3nico-performativas para Manufactura Aditiva<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Topics<\/div>
Digital Fabrication, Parametric Modeling, Additive Manufacturing for Construction, Performance-Oriented Design, Remote Fabrication.<\/div><\/div><\/div><\/div>
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Requirements<\/div>
Rhinoceros\/Grasshopper\/KUKA PRC, Nivel b\u00e1sico Rhinoceros\/Grasshopper (deseable), PC o Laptop (min CPU i5 - RAM 8GB ) - Windows<\/div><\/div><\/div><\/div>
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Day 1<\/div>
Arquitectura y Manufactura Aditiva, Especulaciones Digitales, Manipulador Rob\u00f3tico.<\/div><\/div><\/div><\/div>
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Day 2<\/div>
Principios de Construcci\u00f3n Impresa, Fabricaci\u00f3n Remota, Evaluaci\u00f3n Performativa.<\/div><\/div><\/div><\/div>
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Group<\/div>
10 a 20 participants<\/div><\/div><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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Workshop leader:<\/b>\u00a0Pablo Salvador Banda P\u00e9rez, Universidad del B\u00edo-B\u00edo; UDLA,<\/i> Chile.<\/p>

Las formas complejas de la manufactura aditiva establecen potenciales para la habitabilidad y el recorrido m\u00e1s all\u00e1 de su auto-sustentaci\u00f3n estructural, la partici\u00f3n de espacios y conformaci\u00f3n de envolventes arquitect\u00f3nicas. El workshop pretende expandir las fronteras de los elementos impresos ofreciendo una instancia especulativa, donde una diversidad de pabellones abiertos a gradientes f\u00edsicas y arquitect\u00f3nicas (iluminaci\u00f3n, visi\u00f3n, ac\u00fastica, etc.) podr\u00e1n ser propuestas y llevadas a cabo por los participantes bajo un framework param\u00e9trico com\u00fan. No obstante lo anterior, abarcaremos la constructibilidad de la manufactura aditiva a trav\u00e9s de construcci\u00f3n remota.
Exploraremos nuevas construcciones impresas de alto inter\u00e9s est\u00e9tico, basadas en desempe\u00f1o proyectando m\u00e1s all\u00e1 de la tipolog\u00eda de muro.
Desarrollaremos un proyecto desde su fase digital hasta la fabricaci\u00f3n de componentes con manufactura aditiva en escala 1:1.
Introducci\u00f3n panor\u00e1mica en el problema de la manufactura aditiva desde teor\u00eda a la pr\u00e1ctica. Resultados Esperados: Se espera que los participantes expandan las posibilidades de los elementos constructivos impresos en 3D para nuevas arquitecturas p\u00fablicas. Entendimiento del Flujo de trabajo con Manipuladores Rob\u00f3ticos para Manufactura Aditiva.\u00a0 Nociones b\u00e1sicas de dise\u00f1o no est\u00e1ndar a trav\u00e9s de modelado param\u00e9trico aplicables a instalaciones arquitect\u00f3nicas. Nociones b\u00e1sicas de la actualidad de Manufactura Aditiva para la Construcci\u00f3n.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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W9. Dise\u00f1o 3D a partir de modelos basados en Inteligencia Artificial<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Topics<\/div>
Manufacturing and Industry 4.0, Artificial Intelligence, 3D models, Artificial Intelligence Design<\/div><\/div><\/div><\/div>
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Requirements<\/div>
Rhinoceros 6 or greater, Grasshopper and GoogleColab, Moderate to advanced knowledge of Rhino and Grasshopper.<\/div><\/div><\/div><\/div>
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Day 1<\/div>
AI fundamentals, diffusion models of text-to-image generation and GAN models, Grasshopper and how to convert a 2D image to 3D.<\/div><\/div><\/div><\/div>
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Day 2<\/div>
it's just one day! November 7<\/div><\/div><\/div><\/div>
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Group<\/div>
10 participants<\/div><\/div><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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Workshop leader:<\/b> Michael Hurtado, Universidad Peruana de Ciencias Aplicadas<\/i>, Peru<\/p>

Since the appearance of image generation models, there has been a growing interest in their use in areas such as art, design and architecture. More recent are the text-to-image generation models that have shown the importance of choosing the right terms in the prompt to produce an image, this is known as prompt engineering. In this workshop, two 3D computational design methods will be presented, based on the use of image generation using AI. The first is based on the GAN generation model, specifically we will use the StyleGAN algorithm, which allows us to train the network from images chosen in a database, and the second method is based on the use of modifiers from a model. text-to-image generation model known as diffusion model, for this work we will use Stable Diffusion. Finally, through the Grasshopper plugin we will convert the resulting 2D image into a 3D model that can be used within the architectural computational design process.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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W10. Dise\u00f1o de exoesqueletos en productos<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Topics<\/div>
Manufacturing and Industry 4.0, Digital Fabrication, Generative Design, Design, Nature and Ecosystems, Bio-Inspired Design <\/div><\/div><\/div><\/div>
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Requirements<\/div>
Rhinoceros 7, Grassopper (incluido en versi\u00f3n 7) - Evaluaci\u00f3n gratuita por 90 d\u00edas. PC or Laptop (min CPU i7 - RAM 8GB ) - Windows \/ Mac OS<\/div><\/div><\/div><\/div>
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Day 1<\/div>
Generative Design, Digital Fabrication, Bio-Inspired Design <\/div><\/div><\/div><\/div>
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Day 2<\/div>
Generative Design, Digital Fabrication, Bio-Inspired Design <\/div><\/div><\/div><\/div>
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Group<\/div>
10 participants<\/div><\/div><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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Workshop leader:<\/b>\u00a0Patricio Rabus<\/a>, Universidad de Buenos Aires<\/i>, Buenos Aires, Argentina<\/p>

Gracias a las posibilidades que ofrece los actuales m\u00e9todos de fabricaci\u00f3n digital en simbiosis con los softwares 3d generativos, la est\u00e9tica resultante, se convierte en un conductor en el dise\u00f1o que llev\u00f3 a la aplicaci\u00f3n de las t\u00e9cnicas de dise\u00f1o arquitect\u00f3nico a escala de productos. El modelado 3D y las t\u00e9cnicas de impresi\u00f3n 3D, han cuestionado las pr\u00e1cticas de dise\u00f1o y fabricaci\u00f3n, liberando a los dise\u00f1adores de la est\u00e9tica anterior, y sobre todo, poder recrear, visualizar y producir estructuras sustra\u00eddas de la naturaleza. Ya no como un recurso est\u00e9tico, sino funcional. Cuando una trama 2D, en una superficie, se utiliza como eje para una forma tubular se obtiene una estructura espacial. Si el punto de partida es una trama de crecimiento org\u00e1nico, el resultado ser\u00e1 extremadamente poderoso en t\u00e9rminos estructurales. El exoesqueleto es la forma en que est\u00e1 compuesto el hueso humano y animal. No se refiere tanto a una trama espec\u00edfica, sin\u00f3 a un tratamiento o forma de concreci\u00f3n. Se pueden obtener exoesqueletos de m\u00faltiples maneras: desde trama triangular a voronoi, desde bordes de vol\u00famenes poli\u00e9dricos a dibujo de segmentos manualmente.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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W11. Ibrida: Metodolog\u00edas de dibujo desde la fabricaci\u00f3n digital e Inteligencia\nartificial aplicada al bocetaje para la producci\u00f3n de arte contempor\u00e1neo<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Topics<\/div>
Digital Craft, Life Long Learning and Digital Education, Phygital Art,AI<\/div><\/div><\/div><\/div>
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Requirements<\/div>
Laptop (min CPU i3 - RAM 4GB ) - Windows, tel\u00e9fono m\u00f3vil o tableta, acceso a su cuenta de Google Drive (Colab Pro preferente pero no obligatorio), Miro<\/div><\/div><\/div><\/div>
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D\u00eda 1<\/div>
Digital Anatomy, AI and Phygitality, Traditional Drawing Methods translated to the digital, AI and new image conceptions, Figure model and pose with 3D scan, Contemporary art and Hybridization<\/div><\/div><\/div><\/div>
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Grupo<\/div>
15-20 participantes<\/div><\/div><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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Workshop leader: <\/b>Fernanda Olivares<\/a> & Eduardo Ram\u00edrez, Mexico City<\/i>, Mexico. <\/p>\n

Este taller est\u00e1 dirigido a artistas contempor\u00e1neos, makers, dise\u00f1adores y a la comunidad creativa para experimentar la traducci\u00f3n de m\u00e9todos de dibujo a las herramientas de fabricaci\u00f3n digital como escaneo e impresi\u00f3n 3D, modelos anat\u00f3micos e Inteligencia Artificial.
Ibrida tiene como objetivo construir puentes hacia la hibridaci\u00f3n de lo an\u00e1logo y lo digital. Mediante el rescate de principios de dibujo anat\u00f3mico y nuevas posibilidades de producci\u00f3n art\u00edstica desde un enfoque multidisciplinario, el participante enriquecer\u00e1  diversas exploraciones y alcances para crear un proyecto phygital a trav\u00e9s de herramientas tecnol\u00f3gicas.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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W12. ML Plugin : develop a Machine Learning plugin for Grasshopper<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Topics<\/div>
Programming Cultures, Generative Design, Machine Learning, Artificial Intelligence, Develop a Digital Tool<\/div><\/div><\/div><\/div>
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Requirements<\/div>
Rhinoceros 6 or greater, Grasshopper, Visual Studio 2019 or greater. Basic knowledge of RH, GH and C# programming, PC or Laptop (1.8 GHz or faster processor. Quad-core or better recommended RAM: 2-8GB (2.5 GB minimum if running on a virtual machine) HD space: 800MB-210 GB of available space, typical installations: 20-50 GB of free space.)<\/div><\/div><\/div><\/div>
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Day 1<\/div>
Basics of programming with C#, Basics of machine learning, Examples of using ML for architectural goals, Generative design using ML, Design evaluation with ML<\/div><\/div><\/div><\/div>
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Day 2<\/div>
How to develop a plugin, Using ML Libraries, Building the customized plugin<\/div><\/div><\/div><\/div>
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Group<\/div>
10 participants<\/div><\/div><\/div><\/div>\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t
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Workshop leader:<\/b>\u00a0Mohammad Pourfooladi, Art University of Isfahan<\/i>, Iran<\/p>

In 1950, Alan Turing asked, \u201cDoes a machine think?” A simple question that was the beginning of research on machine learning. Today, “Artificial Intelligence” (AI) is used in most fields of everyday life, and learning it can greatly help in the development of new technologies. “Machine Learning” (ML) is one of the parts of artificial intelligence that must be learned to work in this field. The learning process in machine learning begins with data as input until the machine uses them to find the patterns in that data set and make better decisions based on the discovery of their patterns and the insights gained. Machine learning and how to use it for scientific research can be a powerful tool for architects. This workshop aims to provide a basic learning platform for entering the field of machine learning and how to write code for architecture, as well as building the tools desired by the architect for research and design with the help of artificial intelligence tools. In this workshop, students learn how to use the machine learning libraries in the Rhino software to create a plugin that is customized according to their needs.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Workshops ONLINE EVENT Online Event: November 7th-8th, 2022 The workshops will take place on November 7th and 8th. SIGraDi 2022 workshops will occur online via Blackboard Collaborate or similar video conferencing platform. The workshops at SIGraDi are an opportunity for students, teachers and professionals from Latin America to explore the possibilities of digital technologies as […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"disabled","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-3149","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.sigradi.org\/sigradi2022\/wp-json\/wp\/v2\/pages\/3149","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sigradi.org\/sigradi2022\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.sigradi.org\/sigradi2022\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.sigradi.org\/sigradi2022\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sigradi.org\/sigradi2022\/wp-json\/wp\/v2\/comments?post=3149"}],"version-history":[{"count":386,"href":"https:\/\/www.sigradi.org\/sigradi2022\/wp-json\/wp\/v2\/pages\/3149\/revisions"}],"predecessor-version":[{"id":6996,"href":"https:\/\/www.sigradi.org\/sigradi2022\/wp-json\/wp\/v2\/pages\/3149\/revisions\/6996"}],"wp:attachment":[{"href":"https:\/\/www.sigradi.org\/sigradi2022\/wp-json\/wp\/v2\/media?parent=3149"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}