DRIVEN program overview
DRIVEN is an incubation program aiming to embed advanced computational design strategies in early stage entrepreneurship for a circular economy. We strongly believe such strategies and processes have a huge potential to redefine the entire production chain of our cities.
Computational design can play a crucial role in terms of material use awareness to optimize the flow of material and its economy, to organize its storage, transportation, and reassembly. These elements are usually not incorporated in the design phase but they have social implications and economic properties that could enrich a design’s value, scalability, impact, and agency.
The goal of the program is to trigger an awareness of using computational design to consider and put to action all the principles of a circular economy and to showcase built projects embedding such qualities realized as proof of concepts. These projects will act as precedents to help all start-up projects that follow in the pipeline.
We are currently investigating two different challenges
Area of knowledge 1
Computational design can be generically described as a design method in which the output is generated by a set of rules or an algorithm. It incorporates data streams that can vary over space and time (parameters) and use those streams to inform and organize logical processes (algorithms). These processes ultimately determine groups of multiple geometric configurations that can be explored by the designer.
Area of knowledge 2
Digital fabrication are production processes that combine the use of digital tools (3D modeling or CAD) with CNC (computer numerical control) machines for additive and subtractive manufacturing. These processes allow the automated control of machining tools by means of a computer.
Area of knowledge 3
Data Visualization is defined as a visual and interactive exploration; the process of graphical representation of information and data by encoding it into visually graphic objects. The goal is to communicate information clearly and efficiently to users and to provide an accessible way to see and understand trends, outliers, and perceive patterns in data. Data visualization allows managers and decision-makers to identify phenomena and trends that are invisible in the data upon the first analysis.
In the age of big data, data visualization skills, tools, and technologies are essential to properly analyze the massive amounts of information out there to make data-driven decisions.
Area of knowledge 4
The idea of artificial intelligence (AI) is not exactly new. Since the earliest stages of computation, people have imagined, hypothesized and worked with AI. With the increasing technological advancement, the growing computational power, our furthered understanding of the subject and access to data are pushing the possible implementations of AI in every aspect of our ‘digital life’. Exploring artificial intelligence and machine learning calls for a shift in our approach to solving design challenges. This lays the foundations for a new type of design and architecture.
How can we start implementing the use of these tools in the design and architecture fields? How can we take advantage of AI and its future developments to define a more aware and responsible design and manufacturing process?