Programmierte Hoffnung. Architekturexperimente
In the organizer's words:
The exhibition presents numerous architectural models, dozens of original plans, drawings, photographs and other material. The exhibits come exclusively from the holdings of the HfG Archive / Museum Ulm and are on public display for the first time.
In collaboration with the TU Darmstadt and the Goethe University Frankfurt, the HfG Archive / Museum is presenting an exhibition that focuses for the first time on the pioneering architectural teaching at the Ulm School of Design (HfG). Founded in 1953 as the successor to the legendary Bauhaus, the HfG aimed to promote a sustainable material culture and at the same time strengthen the young democracy and the newly won freedom.
Initially headed by the founding rector and Bauhaus student Max Bill (1908-1994), the architecture department under Konrad Wachsmann and Herbert Ohl quickly developed into a hotspot of "industrialized building". With a scientific and international network, forward-looking concepts for building in an increasingly technological world were developed together with the construction industry. In addition to prominent representatives of architecture such as Richard Buckminster Fuller, Ray and Charles Eames, Frei Otto and Yona Friedman, leading minds from the humanities, natural sciences and engineering also shaped the teaching program. Cutting-edge disciplines such as cybernetics, mathematical operations analysis and philosophy of science, represented by pioneers such as Norbert Wiener, Max Bense and Horst Rittel, became an integral part of the ambitious teaching program. The aim was to develop architecture - as a kind of "programmed hope" - in a scientific, interdisciplinary and socially responsible way.
This approach inspired the students to create architectural experiments such as modular residential and school complexes, semi-automated shopping malls and serial bar constructions. The works impress with their combination of precise craftsmanship and a high level of theoretical and technical expertise, in which early algorithmic design methods can already be seen.
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