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Computational Dreamscape – Studio Eliana Nigro

The Computational Dreamscape will demonstrate how Grasshopper 3D can help to have a dynamic and fast workflow, and fully control geometries.

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Computational Dreamscape Workshop:

Discover the power of Grasshopper 3D and learn how to create innovative and socially responsible designs. The Computational Dreamscape workshop is a unique opportunity to explore parametric design tools and methods that emphasize creativity while achieving the most successful results.

We’ll demonstrate how Grasshopper 3D can help architects have a dynamic and fast workflow while fully controlling geometries. Using this software, you’ll be able to generate visually striking, engaging, and efficient geometries.

By participating in the workshop, you’ll develop your algorithmic thinking, understand geometry, and generate Grasshopper definitions that can be used for multiple purposes, making your projects unique and adaptable.

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The scope of the workshop:

The workshop will explore the different ways in which design can contribute to enhancing a sense of community, identity, and relationship with others, offering spaces where everyone can play, rest, and enjoy time with their loved ones. These recreational areas can encourage active movement, creative exploration, and the development of social skills.

During the workshop, we´ll generate exciting designs, from the small scale of a room to the large urban scale. We will deal with sculptural installations with ever-changing effects, sinuous and colorful landscapes, and intriguing urban spaces, which can be inhabited in multiple ways and float between reality and fantasy.

Grasshopper 3D is crucial to generate these geometries that are difficult or impossible to achieve through traditional methods. Additionally, Grasshopper 3D enables us to experiment with several design iterations, test different scenarios, and optimize the design for specific constraints.

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Methodology:

During the workshop, we’ll use a hands-on approach to learning. The workshop requires a basic understanding of Grasshopper, and the level is intermediate, starting with simplicity and building up complexity.

The final project will involve designing either an indoor art installation or an outdoor sculptural urban space. The workshop will focus on applying computational design techniques to create physical and digital matrices of parametric models, which will be used to suggest different spatial applications.

The final assignment will involve putting together a competitive set of static and dynamic visualizations to illustrate their progress (diagrams/renderings/videos). The students will work individually or in teams, depending on their preferences, and will receive guidance and feedback from the instructor throughout the process.

Objectives:

The students of the workshop are expected to learn a combination of theoretical and practical knowledge and gain professional experience. They will be taught to think outside the box and apply algorithmic approaches to efficiently solve architectural problems. The final project will give them something tangible to add to their portfolio.

The focus is on creating exciting and innovative projects, ensuring that the skills learned in the workshop can be applied in their everyday workflow. The aim is to produce work that is not just for show, but that can be used or inspire changes in the way they work.

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Program:

DAY 01 – April 29th

  • 30min – Introduction
  • 30min – Theoretical explanation of the algorithmic process
  • 3h – Technical tutorial

DAY 02 – April 30th

  • 2h – Technical tutorial
  • 1h – Individual tutoring
  • 1h – Project review

Software:

Important Notes:

Instructor:

Eliana Nigro

Computational Dreamscape - Eliana Nigro

Eliana is an Italian architect, and she is the head of computational design at Cobe. Throughout her professional experience, she has been involved in a large range of projects all over the world.
She worked for 3XN architects for four years, after completing a post-graduation master’s in advanced design methods. Before that, she had worked as a consultant for companies, providing services related to 3D modelling, algorithmic modeling, data-driven design, and digital fabrication.

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She has a background as an academic researcher, and she is still regularly involved in workshops and conferences concerning the use of digital strategies in architecture. She has been a guest lecturer at universities worldwide, focusing on parametric approaches to face the emergent complexity of architecture through mathematical and geometrical control.
Eliana is extremely passionate about descriptive geometry, as well as tools that are able to fasten repetitive tasks and help design decisions.

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