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- 23 OctDr. Nimish Biloria interviewed by CNN International and Fast Company
- 15 OctDr. Nimish Biloria gives a key note lecture at the ArcIntex Conference: Shaping (un)common grounds at TU Eindhoven, The Netherlands.
- 13 OctMedia Studies Lecture Series:Tim Geurtjens from Joris Laarman Lab lectures at Protospace
- 26 SepAchilleas Psyllidis and a group of Researchers from Web Information Systems & Delft Data Science are participating in New Horizons Festival
- 17 SepABB and Hyperbody are setting up collaboration scenarios on robotics in architecture
- 09 SepMSc2 student projects Reflectego & RoboZoo featured at METABODY annual meeting in Madrid
- 09 SepAmbiguous Topology performance featured at METABODY annual meeting in Madrid
- 08 SepSina Mostafavi and Matthew Tanti publish and present in eCAADe2014(NCC, UK): DESIGN TO FABRICATION INTEGRATION AND MATERIAL CRAFTSMANSHIP
- 04 SepKas Oosterhuis and Henriette Bier lecture and chair session, respectively, at the What's the Matter conference in Barcelona.
- 09 JulDr. Henriette Bier and PhD cand. Jia-Rey Chang publish papers in the 3rd issue of Archidoct
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Hyperbody, MSc 3, InfoMatters Design Studio Final Reviews
Location: Protospace, Zaal D
Time: 10am Onwards
Directors: Dr. Nimish Biloria
The Hyperbody MSc3 InfoMatters Design Studio team is pleased to invite you for their P2 review on the 24th June 2011.The MSc3 research studio specifically focuses on designing a large scale Transferium (central station with bus stations and associated infrastructure > both social and programatic) in Almere, The Netherlands. The complexity of such a large scale project has been systematically broken down into interdependent social, environmental and spatial agent based simulation sets for deriving generative spatial logic for the Transferium. The P2 presentations will thus showcase bottom-up research driven design strategies as the initial phase of these graduation projects and in doing so will defend their positions as regards the symbiotic relation between computational, subjective and intuitive data sets.