Stories of likes, tweets, and ideas

(Term Project)

Now, Innovation and entrepreneurship are prominent in the nation's global economy. We could see that competitive progress requires more decentralized attention to skills and technology rather than larger mass efforts. The impact of knowledge on work has changed completely in the past era. The managers were the only ones with the BIG Picture and laborers were forming parts of the system. However, an Innovative Organization needs to have a common ground where everyone is on the same page on a common goal. As we vary with background, culture, and ethnicity we require a space that caters to such diverse nature. A democratic space that likes, shares, and innovates ideas. Innovation is universal and better ideas addressing problems of social importance have been emerging from such interdisciplinary spaces. Innovations have been the backbone of several corporate companies, every organization wants one, and all the big names have one. Currently, the Indian private sector is facing global competition. This has led to an increase in technological advancements but a decrease in employment. All led to the Instituting of small enterprises or Start-Ups. For a stronger startup culture in India, we need an open ecosystem that enriches creative thinking and also provides spaces for seamless collaboration and production. Academic institutions are the primary source of creativity and they need managing their imaginations and aspirations in a better way.

Concept

The innovation hub is a complex ecosystem with a mixture of spaces. After analyzing incubation hubs of varied user groups, we could categorize them based on scale, character as open/close, and Function as Connect(Space for congregation), Curate(Space for creativity), and Techmix(Space for technical work). The open spaces are pushed to the exterior while the activities related to closed space, which is mostly supported artificially, are pushed inwards. These spaces allow the users a varied range of experiences from solitary working to large gatherings or collaborations on vast scales. To deal with such a complex nature of innovation hubs we require a computational process to reach an optimized solution. The spatial characters of these spaces are broken down into relationships and are generated with respect to the context. The relationships from the users define the function and circulation within the spaces, which are represented as types and adjacencies. The parameters from context include Site boundaries, topography, Climate, etc. The generation of such spaces is split into two stages to reduce computing time and power. The primary stage generates the overall volume with core positions and the required volume for each function. Later the overall volume is taken and other subspaces are organized within them.

Overall Framework of Generation and Optimization

The primary stage generates the overall volume with core positions and the required volume for each function. Later the overall volume is taken and other subspaces are organized with them. The Total volume of the site is converted into point clouds of specific size based on the scale of the site. The Larger spaces are converted into nodes of specific weights based on their characters. Points are initiated at random positions within the point cloud and the rest of the points are clustered with their weights respectively based on an adapted version of the KOHNEN WEIGHTED MAP. For example, the Connect block is optimized such that it is placed near the public-oriented areas rather than away from them. The volumes are also optimized to reduce the building coverage to increase more natural light, and less proximities and to minimize usage of resources. The Kohnen map is utilized to Organize volumes on varied scales starting from the larger overall functions to furniture. The stages of generation with varied initiations are shown below. The resultant form is then split into modules of 10m for structural optimization and core placement. The modules that are converted into graphs and nodes that are connected throughout the floors are provided with Cores. The points are then weighted based on their nature(OPEN / CLOSED). The position of the structure is already optimized to have fewer proximities from the major entries. At later stages, the Paths are defined to have better circulation. The same point clouds are analyzed with the shortest path algorithm to find the optimum path to the nearby entries.

Optimised Iterations

Individual space Organization

The resultant volume consists of point clouds which are converted into nodes. Each node is encoded with information about its Function, Privacy, and Solar exposure. Then the individual spaces are organized based on their requirements. For Instance, the nodes with lower solar exposure with high privacy and a technical function form a LAB while the nodes with the same exposure, privacy, and collaborative nature become a sound stage or a private office based on the scale. This enables us to distribute the spaces without losing character.

Open Workspace plan generation

The same adapted kohnens clustering is used to organize functions within the open office space. The Open work spaces are the most vibrant areas with drastic change in character. The functions vary in privacy and scale. The functions with their volumes are defined and are organized with respect to their level of privacy and scale. After generation of an optimised framework , We have the chance to add detailing to with repect to the user experience. For Instance here we have a open collaborative space(Green) and a make space(Blue) distrbuted within the work area. they had to be detailed in a such a way that they never interfere with other functions without lose in charater. This was addresed by having the closed wall of make space to act as a supporting element of collaborative space.

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