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- 16 NovHenriette Bier acts as member of the scientific committee of Oxford Journal Interacting with Computers
- 16 NovA. Liu Cheng and H. Bier publish paper on Adaptive Building-Skin Components as Context-Aware Nodes in an Extended Cyber-Physical Network for IEEE World Forum on Internet of Things 2016
- 04 NovTiantian Du and Nimish Biloria hosted the workshop "Transitional Space Design and the Concept of Architectural Thermodynamics"
- 04 NovHenriette Bier appointed as member of the scientific committee of IJAC journal
- 18 OctDr. Nimish Biloria appointed as Scientific Committee member for the CAAD Futures 2017 Conference: Future Trajectories of Computation in Design
- 23 SepHenriette Bier appointed as member of the scientific committee of CAAD Futures 2017: Future Trajectories of Computation in Design
- 23 SepHenriette Bier certified reviewer of Elsevier's Journal of Materials and Design
- 23 SepProf. Kas Oosterhuis speaker at MakeHappen! Inspiration Day 2016
- 16 SepHyperbody graduate students Ralph Cloot and Arwin Hidding in collaboration with Sina Mostafavi and supervised by Kas Oosterhuis design a building for Neurotopia
- 15 SepDr. Nimish Biloria has been appointed as Associate Partner for the LASG (Living Architecture Systems Group), University of Waterloo, Canada
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Dr Nimish Biloria speaker at the Delft Data Science Seminar on "Social Data Science for Workforce Management"
Thursday 28 May 2015 - 14.30 to 18.00
Lecture Hall Chip - Faculty EEMCS - TU Delft
Mekelweg 4, 2628 CD Delft
Delft Data Science (DDS) organizes a series of seminars. These seminars address the challenges and opportunities emerging from large quantities of heterogeneous, complex, networked and dynamic data influencing virtually all socio-economic domains.
We aim to bring the main economic, industrial, societal and academic stakeholders together to jointly discuss how to address the challenges and optimally exploit the opportunities related to big data in the years to come.
http://www.delftdatascience.tudelft.nl/events/dds-thematic-seminars/social-data-science-for-workforce-management/