big bjarke ingels group belinda wang, bella gambino, libby lim

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BIG BJA RKE INGELS G ROUP Belinda W ang, Bell a Gambino , Libby L im

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BIGB

J AR

KE

IN

GE

L S G

RO

UP

Belin

da W

ang,

Bel

la G

ambi

no, L

ibby

Lim

BACKGROUND

• Founded in 2006 by Bjarke Ingels.

• Over 90 architects, builders, designers and thinkers.

• Young architectural company, characterized by an entrepreneurial spirit, true team-work across expertise areas and new ways of approaching conventional tasks.

• BIG’s architecture emerges out of a careful analysis of how contemporary life constantly evolves and changes.

• Headquarters are located in Copenhagen and 12 months ago they started an affiliate in New York.

• Born on 2 October 1947• Danish architect• Studied architecture at the Royal

Academy in Copenhagen and the Technica Superior de Arquitectura in Barcelona.

• From 1998• Tries to achieve a balance between

playful and practical approaches to architecture

Bjarke Ingels

ARCHITECTURE PROJECT

Urbanism: The Bridge (Idea)

Type: Housing and InfrastructureYear: 2005Size: 100,000 m2 Principle: constructing an inhabitable bridge by using apartments and office space as bridge piers.

Public Space: Forde Raadhus kuarter, Norway (Idea)

Type: CompetitionYear:2009Size: 17,700 m2

Principle: Town Hall Quarter will be created as a gathering place for citizens, instead of an architectural piece that is admired from afar.

Body Culture: Hafjell Mountain Hotel (Idea)

Type: CommissionYear: 2007Size: 11000 M2 + 332 Apartments Principle: A hotel and apartment house in the mountains that provides accessibility, circulation and logistics, the same standards as a modern hotel.

Media: GMoMA- Gyeonggi Museum of Modern Art (Completed)

Type: Exhibition

Year:2008

Size: 30 M2

Principle: To reintroduce the public and private outdoor space to the urban fabric of the city.

WEBSITEwww.big.dk

DISCUSSION QUESTIONS

1. How is computational space used in the architecture and what are some thoughts?

2. What do you think about these designs being realistically possible?

3. How do you think the architecture and usage of computational space can be improved in these designs?