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BEGIN:VEVENT
SUMMARY: Computational Modeling in Coexistence with Urban Data Streams 
DTSTART:20150608T110000
DTEND:20150608T120000
DTSTAMP:20260407T210857Z
UID:117784d966f73e67565c2b1b4010a9f420aee3127ac853d289001ec2
CATEGORIES:Conferences - Seminars
DESCRIPTION:Vahid Moosavi\, Chair for Computer Aided Architectural Design
  (CAAD)\, ETH Zurich\nWith the democratization of computational technologi
 es from the last decades and the ever-growing access to urban data streams
 \, the computational modeling has been established as an orthogonal discip
 line to classical fields of applied research. Nevertheless\, we think that
  a proper research question in this new field should be: how rather than m
 erely automating classical modeling processes\, how we should cultivate an
 d promote fundamentally different concepts to the field of scientific mode
 ling\, which are only feasible through an appropriate level of “computat
 ional and data literacy”.\nToward this goal\, from an abstract point of 
 view to the main issues of scientific modeling\, we introduce the concept 
 of “modeling in coexistence with data streams” as an alternative to th
 e state of the art in computational modeling and simulation. Upon this con
 ceptual framework\, in a technical level we discuss the potentials of a se
 ries of mathematical techniques such as Self Organizing Maps (SOM) and Mar
 kov Chains.\nFurther\, as the proposed modeling ideas are very generic\, w
 e present three experimental applications in different domains\, including
  transportation dynamics\, urban air pollution modeling and a new notion o
 f geographic mapping\, called contextual mapping.
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STATUS:CONFIRMED
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