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- 24 MayProf. Kas Oosterhuis lectures at Polypodium (Beirut Design Week)
- 07 MayDr. Nimish Biloria to serve as a Panelist at the Trans-Arch-Edu-03, Izmir, Turkey
- 20 AprDr Nimish Biloria and PhD candidate Jia Rey Chang publish paper on Swarm Scapes in Springer's Lecture Notes in Computer Science
- 20 AprAlex Liu Cheng and Henriette Bier publish paper on An Extended Ambient Intelligence Implementation for Enhanced Human-Space Interaction
- 20 AprTextrinium exhibited at Center for European Textile Innovation (CETI)
- 18 AprDr. Nimish Biloria appointed as the Scientific Committee member for the ACADIA 2016-Posthuman Frontiers conference, USA.
- 13 AprDr.-Ing. Henriette Bier and PhD-cand. Sina Mostafavi speak at 3rd Digital Knowledge Study Day addressing the question Robots and/or Architecture?
- 14 MarSina Mostafavi and Henriette Bier publish paper on D2RP in Springer's Rob|Arch 2016.
- 17 Feb Prof. Kas Oosterhuis will lecture at The Royal Flemmish Academy of Belgium for Science and the Arts on Wednesday 17th February at 14:30
- 01 Feb1-3 February Henriette Bier is distinguished visiting scientist in Digital Ecologies at IMSE
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SocialGlass was the official platform for real-time crowd management and monitoring of visitors flow during SAIL 2015 in Amsterdam - the largest open nautical event in the world.
The SocialGlass group (Dr. Alessandro Bozzon, Dr. Stefano Bocconi, Achilleas Psyllidis, Christiaan Titos Bolivar, Jie Yang) of the Delft Social Data Science Lab teamed up with the Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute), the TU Delft Transport & Planing group, DAT.Mobility, the Municipality of Amsterdam, and the organizers of the SAIL Event 2015 for the development of a real-time dashboard for monitoring pedestrian flows during the event. The dashboard was specifically developed for the purpose of SAIL 2015 and extends the current SocialGlass platform with multiple new features and components.
The pilot study used a combination of various methods of real-time data collection to give an optimum picture of pedestrian flows along the SAIL route and its different areas of interest. The main focus of the study was on how to gain reliable information on pedestrian flows during large-scale public events, such as SAIL, and use this effectively for crowd management. This experiment is a first step towards the development of a real-time monitoring system that can be utilized as a support tool by stakeholders responsible for the smooth running of such large-scale events. The experiment run parallel to the established crowd-management methods used by the municipality and, therefore, had no effect on the tasks of the crowd managers.
Combination of methods and techniquesFor the purpose of the experiment, we simultaneously integrated real-time data collected by WiFi sensors, counting cameras, GPS trackers, and various social media platforms (Twitter, Instagram, Foursquare, Sina Weibo). Some of these data mining technologies have already been individually used during large events. However, their simultaneous combination in real-time constitutes a unique example of heterogeneous data integration worldwide. Thus, an innovative system was created that could form the basis of crowd-management systems in the future.
Precise data, available liveThe experiment offers insight into the behaviour of visitors to SAIL, the routes people have taken, the amount of time spent at a given location and how the use of the location has progressed. This information is of tremendous value for the organisation of future events. Real-time availability is invaluable when deciding whether measures need to be taken on the basis of the data.
Media Coverage (a selection, in Dutch)[22.08] Het Parool
[21.08] De Telegraaf
[21.08] Architectenweb
[21.08] AD
[21.08] Gooi en Eemlander
[21.08] IJmuider Courant