PhD Candidate: Vahid Moosavi
Supervisor: Ludger Hovestadt
Co-supervisor: Barbara Hammer
Pre-Specific Modeling
Computationa...
The Landscape of
Computational Urban Modeling
Research (In a Concrete Level)
2
Tuesday, 28 April, 15
Applied Domains
The Landscape of
Computational Urban Modeling
Research (In a Concrete Level)
2
Tuesday, 28 April, 15
Applied Domains
ModelingConcepts
The Landscape of
Computational Urban Modeling
Research (In a Concrete Level)
2
Tuesday, 2...
Applied Domains
ModelingConcepts
The Landscape of
Computational Urban Modeling
Research (In a Concrete Level)
2
Tuesday, 2...
Applied Domains
ModelingConcepts
The Landscape of
Computational Urban Modeling
Research (In a Concrete Level)
2
Tuesday, 2...
3
If one scans 5 bn books
from 1900 (Google n-gram)
Tuesday, 28 April, 15
And if we just follow the market?!
Google Trends 4
Tuesday, 28 April, 15
And if we just follow the market?!
Google Trends
RQ: ButWhat are the underlying paradigms
and abstract concepts behind the...
Approach of this research
(how to be abstract but operational?)
1.It is not adequate to talk about individual modeling app...
Approach of this research
(how to be abstract but operational?)
1.It is not adequate to talk about individual modeling app...
First part
Conceptual Set up of Pre-Specific Modeling
(Toward formalizing the elements of a modeling approach)
6
Tuesday, ...
7
Specific Modeling Pre-Specific Modeling
Tuesday, 28 April, 15
The issue of Representation
7
Specific Modeling Pre-Specific Modeling
Tuesday, 28 April, 15
The issue of Representation
Selected'Features'to'Represent'the'Objects'
Objects'
Examples:*
•  Ci-es*
•  Streets*
•  Build...
A
B
The issue of Representation
Selected'Features'to'Represent'the'Objects'
Objects'
Examples:*
•  Ci-es*
•  Streets*
•  B...
A
B
The issue of Representation
Selected'Features'to'Represent'the'Objects'
Objects'
Examples:*
•  Ci-es*
•  Streets*
•  B...
The Issue of Causality
8
Specific Modeling Pre-Specific Modeling
Tuesday, 28 April, 15
The Issue of Causality
The Rule
8
Specific Modeling Pre-Specific Modeling
Tuesday, 28 April, 15
The Issue of Causality
The Rule Any Rule
8
Specific Modeling Pre-Specific Modeling
Tuesday, 28 April, 15
The role of Data
9
Specific Modeling Pre-Specific Modeling
Tuesday, 28 April, 15
The role of Data
9
Specific Modeling Pre-Specific Modeling
Classical SpaceSyntax, London
“The social logic of space”1984
S...
The role of Data
9
Specific Modeling Pre-Specific Modeling
Classical SpaceSyntax, London
“The social logic of space”1984
G...
Second part
Computational Machines that aligns with the concept of
pre-specific modeling
10
Markov Chains
Self Organizing ...
Observed
11
Specific Modeling
Selected'Features'to'Represent'the'Objects'
Objects'
Tuesday, 28 April, 15
ObservedModel
11
Specific Modeling
Selected'Features'to'Represent'the'Objects'
Objects'
Tuesday, 28 April, 15
ObservedModel
Fourier Decomposition
11
Specific Modeling
Selected'Features'to'Represent'the'Objects'
Objects'
Tuesday, 28 ...
12
Pre-Specific Modeling
A
B
Tuesday, 28 April, 15
12
Pre-Specific Modeling
A
B
Tuesday, 28 April, 15
Learned Dictionary of Forms in Co-existence with Data
12
Pre-Specific Modeling
A
B
Tuesday, 28 April, 15
Learned Dictionary of Forms in Co-existence with Data
Self Organizing Map (SOM)
12
Pre-Specific Modeling
A
B
Tuesday, 28 A...
Functions of Self Organizing Map (SOM)
•Nonlinear function approximation
•Time series prediction
•Classification
•Clusteri...
Functions of Self Organizing Map (SOM)
•Nonlinear function approximation
•Time series prediction
•Classification
•Clusteri...
Third part
Applications and Experiments
14
Tuesday, 28 April, 15
Applications
•Urban Traffic Modeling Using Data Streams
•Urban Air Pollution Modeling
•Contextual Mapping
•Modeling the Dy...
First Application
Urban Traffic Modeling Using Data Streams
Moosavi, Hovestadt 2013 16
Selected'Features'to'Represent'the'...
First Application
Urban Traffic Modeling Using Data Streams
Moosavi, Hovestadt 2013
State of the art:Agent Based Modeling
...
First Application
Urban Traffic Modeling Using Data Streams
Moosavi, Hovestadt 2013
State of the art:Agent Based Modeling
...
First Application
Urban Traffic Modeling Using Data Streams
Moosavi, Hovestadt 2013
State of the art:Agent Based Modeling
...
First Application
Urban Traffic Modeling Using Urban Data Streams
GPS$Trajectory$of$Taxicabs,$Beijing$
Road$communi;es$bas...
Second Application
Urban Air Pollution Modeling
•State of the art: CFD models
•Based on idealized models of the
fluid move...
Second Application
Urban Air Pollution Modeling
•State of the art: CFD models
•Based on idealized models of the
fluid move...
Second Application
Urban Air Pollution Modeling
•State of the art: CFD models
•Based on idealized models of the
fluid move...
Third Application
Contextual Mapping
Or how to create personalized images of the space?
19
Tuesday, 28 April, 15
Third Application
Contextual Mapping
20
Top down or the bottom up Map
“The image of the city”
The Map
Tuesday, 28 April, 15
Third Application
Contextual Mapping
20
Top down or the bottom up Map
“The image of the city”
Any MapThe Map
Tuesday, 28 A...
Third Application
Contextual Mapping
20
Top down or the bottom up Map
“The image of the city”
Any Map
Individualized and c...
21
Tuesday, 28 April, 15
How to look at a city with huge amount of data? “Digital Opacity?”
21
Tuesday, 28 April, 15
How to look at a city with huge amount of data? “Digital Opacity?”
Is it possible that instead of a top-down map, we provi...
Age + Health 22
Tuesday, 28 April, 15
Method: Learn a one dimensional dictionary and take its elements as an
ordered set of numbers. (Computing with contextual ...
Method: Learn a one dimensional dictionary and take its elements as an
ordered set of numbers. (Computing with contextual ...
Age + Health
24
Tuesday, 28 April, 15
Age + Health
24
Tuesday, 28 April, 15
Crime Categories
25
Tuesday, 28 April, 15
Contextual Mapping
Racial Mixture in New York City?
26
Tuesday, 28 April, 15
Contextual Mapping
Redistricting and the will of the people
How polarized is Colorado in different elections?
Is there any...
Fourth Application
Modeling the Dynamics of Real Estate Market
28
Tuesday, 28 April, 15
Monthly Median Price per sq.ft of sold
houses of each Zip code in the state of
Florida 29
Tuesday, 28 April, 15
One
 of
 the
 Basics
 of
 Spa0al
 Modeling
is
 Spa0al
 Correla0ons
30
Tuesday, 28 April, 15
Classical Notion of Space
(First Law of Geography)
One
 of
 the
 Basics
 of
 Spa0al
 Modeling
is
 Spa0al
 ...
As an alternative: to create a space of temporal patterns
SOM$
31
Tuesday, 28 April, 15
As an alternative: to create a space of temporal patterns
SOM$
31
This space can be based on any
other aspects too.
(It is...
Two notions of space
32
Tuesday, 28 April, 15
Two notions of space
32
Tuesday, 28 April, 15
21#
Experimental,set,up,
Forecast,model,
d#%me#steps#
Price#of#zone#i#in#future#
Price#in#the#selected#neighbors#
Price#in...
22"
Experimental,set,up,
Forecast,model,
Price"in"the"selected"neighbors"
Price"in"the"target"Zone"
Different"neighborhoods...
Experimental,set,up,
Forecast,model,
Parameters:,
Es5ma5on,methods:,Linear,Regression,,Ridge,,,Bayesian,Ridge,,Knn,,…,,
Ti...
Modeling the Dynamics of Real Estate Market
Results'
Predic-ng:'2005406401'from'12'months'in'advance' 36
Tuesday, 28 April...
Modeling the Dynamics of Real Estate Market
Results'
Predic-ng:'2006404401'from'12'months'in'
advance' 37
Tuesday, 28 Apri...
Modeling the Dynamics of Real Estate Market
26#
Results'
Predic-ng:'2013509501'from'12'months'in'advance'
38
Tuesday, 28 A...
Modeling the Dynamics of Real Estate Market
Most of the times (>80%),
we get better results with
looking to the new space!...
Modeling the Dynamics of Real Estate Market
Spatial Distribution of Error
40
Tuesday, 28 April, 15
Summary of this research
41
Tuesday, 28 April, 15
Summary of this research
42
Tuesday, 28 April, 15
Summary of this research
42
•Since computational technologies have
become a dominant factor in urban design
and modeling.....
Summary of this research
42
•Since computational technologies have
become a dominant factor in urban design
and modeling.....
Summary of this research
42
•Since computational technologies have
become a dominant factor in urban design
and modeling.....
Summary of this research
42
•Further, we investigated the applicability of a certain
category of generic computational met...
Summary of this research Publications
•5 conference paper presentations
•1 journal paper accepted
•1 journal paper submitt...
thank YOU
43
Tuesday, 28 April, 15
of 82

Pre-Specific Modeling - Computational Machines in Coexistence with Urban Data Streams

Pre-Specific Modeling - Computational Machines in Coexistence with Urban Data Streams Vahid Moosavi, PhD ETH Zurich, CAAD, ITA www.vahidmoosavi.com
Published on: Mar 4, 2016
Published in: Science      
Source: www.slideshare.net


Transcripts - Pre-Specific Modeling - Computational Machines in Coexistence with Urban Data Streams

  • 1. PhD Candidate: Vahid Moosavi Supervisor: Ludger Hovestadt Co-supervisor: Barbara Hammer Pre-Specific Modeling Computational Machines in Coexistence with Urban Data Streams 27th of April 2015 ETH Zurich Tuesday, 28 April, 15
  • 2. The Landscape of Computational Urban Modeling Research (In a Concrete Level) 2 Tuesday, 28 April, 15
  • 3. Applied Domains The Landscape of Computational Urban Modeling Research (In a Concrete Level) 2 Tuesday, 28 April, 15
  • 4. Applied Domains ModelingConcepts The Landscape of Computational Urban Modeling Research (In a Concrete Level) 2 Tuesday, 28 April, 15
  • 5. Applied Domains ModelingConcepts The Landscape of Computational Urban Modeling Research (In a Concrete Level) 2 Tuesday, 28 April, 15
  • 6. Applied Domains ModelingConcepts The Landscape of Computational Urban Modeling Research (In a Concrete Level) 2 Tuesday, 28 April, 15
  • 7. 3 If one scans 5 bn books from 1900 (Google n-gram) Tuesday, 28 April, 15
  • 8. And if we just follow the market?! Google Trends 4 Tuesday, 28 April, 15
  • 9. And if we just follow the market?! Google Trends RQ: ButWhat are the underlying paradigms and abstract concepts behind these patterns? and How architects and urban designers can be proactive contributors in this domain? 4 Tuesday, 28 April, 15
  • 10. Approach of this research (how to be abstract but operational?) 1.It is not adequate to talk about individual modeling approaches. Instead, we need abstract and philosophical research in computational modeling in order to discuss the foundations. (Toward this, we tried to formalize “pre-specific modeling” as a way of thinking in computational urban modeling.) 5 Tuesday, 28 April, 15
  • 11. Approach of this research (how to be abstract but operational?) 1.It is not adequate to talk about individual modeling approaches. Instead, we need abstract and philosophical research in computational modeling in order to discuss the foundations. (Toward this, we tried to formalize “pre-specific modeling” as a way of thinking in computational urban modeling.) 2.Further, if the developed concepts and ideas are true then they should work in different applied domains (Therefore, we implemented the developed concepts in different applied domains.) 5 Tuesday, 28 April, 15
  • 12. First part Conceptual Set up of Pre-Specific Modeling (Toward formalizing the elements of a modeling approach) 6 Tuesday, 28 April, 15
  • 13. 7 Specific Modeling Pre-Specific Modeling Tuesday, 28 April, 15
  • 14. The issue of Representation 7 Specific Modeling Pre-Specific Modeling Tuesday, 28 April, 15
  • 15. The issue of Representation Selected'Features'to'Represent'the'Objects' Objects' Examples:* •  Ci-es* •  Streets* •  Buildings* •  People* •  Companies* •  Food** •  Energy* •  Medicine* •  Internet* •  Words*in*a*text* Each concrete object is an instance of a generic object, defined a-priori 7 Specific Modeling Pre-Specific Modeling Tuesday, 28 April, 15
  • 16. A B The issue of Representation Selected'Features'to'Represent'the'Objects' Objects' Examples:* •  Ci-es* •  Streets* •  Buildings* •  People* •  Companies* •  Food** •  Energy* •  Medicine* •  Internet* •  Words*in*a*text* Each concrete object is a feature for itself related to other objects based on concrete relations Each concrete object is an instance of a generic object, defined a-priori 7 Specific Modeling Pre-Specific Modeling Tuesday, 28 April, 15
  • 17. A B The issue of Representation Selected'Features'to'Represent'the'Objects' Objects' Examples:* •  Ci-es* •  Streets* •  Buildings* •  People* •  Companies* •  Food** •  Energy* •  Medicine* •  Internet* •  Words*in*a*text* Each concrete object is a feature for itself related to other objects based on concrete relations Each concrete object is an instance of a generic object, defined a-priori Abstract Universals Concrete Universals 7 Specific Modeling Pre-Specific Modeling Tuesday, 28 April, 15
  • 18. The Issue of Causality 8 Specific Modeling Pre-Specific Modeling Tuesday, 28 April, 15
  • 19. The Issue of Causality The Rule 8 Specific Modeling Pre-Specific Modeling Tuesday, 28 April, 15
  • 20. The Issue of Causality The Rule Any Rule 8 Specific Modeling Pre-Specific Modeling Tuesday, 28 April, 15
  • 21. The role of Data 9 Specific Modeling Pre-Specific Modeling Tuesday, 28 April, 15
  • 22. The role of Data 9 Specific Modeling Pre-Specific Modeling Classical SpaceSyntax, London “The social logic of space”1984 Structured and designed data Tuesday, 28 April, 15
  • 23. The role of Data 9 Specific Modeling Pre-Specific Modeling Classical SpaceSyntax, London “The social logic of space”1984 GPS Trajectory of Taxicabs, Beijing, 2012 Structured and designed data Unstructured and indirectly produced data streams Tuesday, 28 April, 15
  • 24. Second part Computational Machines that aligns with the concept of pre-specific modeling 10 Markov Chains Self Organizing Maps Tuesday, 28 April, 15
  • 25. Observed 11 Specific Modeling Selected'Features'to'Represent'the'Objects' Objects' Tuesday, 28 April, 15
  • 26. ObservedModel 11 Specific Modeling Selected'Features'to'Represent'the'Objects' Objects' Tuesday, 28 April, 15
  • 27. ObservedModel Fourier Decomposition 11 Specific Modeling Selected'Features'to'Represent'the'Objects' Objects' Tuesday, 28 April, 15
  • 28. 12 Pre-Specific Modeling A B Tuesday, 28 April, 15
  • 29. 12 Pre-Specific Modeling A B Tuesday, 28 April, 15
  • 30. Learned Dictionary of Forms in Co-existence with Data 12 Pre-Specific Modeling A B Tuesday, 28 April, 15
  • 31. Learned Dictionary of Forms in Co-existence with Data Self Organizing Map (SOM) 12 Pre-Specific Modeling A B Tuesday, 28 April, 15
  • 32. Functions of Self Organizing Map (SOM) •Nonlinear function approximation •Time series prediction •Classification •Clustering •Representation Learning •Dimensionality Reduction •Topological Data Analysis (TDA) •Nonparametric Probability Density Estimation 13 Tuesday, 28 April, 15
  • 33. Functions of Self Organizing Map (SOM) •Nonlinear function approximation •Time series prediction •Classification •Clustering •Representation Learning •Dimensionality Reduction •Topological Data Analysis (TDA) •Nonparametric Probability Density Estimation An Open Source Python Library based on parallel processing 13 Tuesday, 28 April, 15
  • 34. Third part Applications and Experiments 14 Tuesday, 28 April, 15
  • 35. Applications •Urban Traffic Modeling Using Data Streams •Urban Air Pollution Modeling •Contextual Mapping •Modeling the Dynamics of Real Estate Market •Other experiments in different domains: •Financial Markets •Biological Systems •Atmospheric Environments •Natural Language Processing and Text Modeling 15 Tuesday, 28 April, 15
  • 36. First Application Urban Traffic Modeling Using Data Streams Moosavi, Hovestadt 2013 16 Selected'Features'to'Represent'the'Objects' Objects' Tuesday, 28 April, 15
  • 37. First Application Urban Traffic Modeling Using Data Streams Moosavi, Hovestadt 2013 State of the art:Agent Based Modeling Needs the grammars and rules of transport in advance like a language To be validated by the classical data such as surveys 16 Selected'Features'to'Represent'the'Objects' Objects' Tuesday, 28 April, 15
  • 38. First Application Urban Traffic Modeling Using Data Streams Moosavi, Hovestadt 2013 State of the art:Agent Based Modeling Needs the grammars and rules of transport in advance like a language To be validated by the classical data such as surveys 16 Selected'Features'to'Represent'the'Objects' Objects' Tuesday, 28 April, 15
  • 39. First Application Urban Traffic Modeling Using Data Streams Moosavi, Hovestadt 2013 State of the art:Agent Based Modeling Needs the grammars and rules of transport in advance like a language To be validated by the classical data such as surveys Using GPS tracks of cars as data streams In an analogy to spoken language, taking urban cells as a word in a language, each individual driver is a unique story teller, while driving within urban grid cells… 16 Selected'Features'to'Represent'the'Objects' Objects' A B Tuesday, 28 April, 15
  • 40. First Application Urban Traffic Modeling Using Urban Data Streams GPS$Trajectory$of$Taxicabs,$Beijing$ Road$communi;es$based$on$ movement$of$the$cars$not$just$the$ physical$road$network$ highly$cri;cal$areas$for$the$whole$traffic$flow$ Areas$with$high$poten;al$of$traffic$jam$ Moosavi, Hovestadt 2013 17 Tuesday, 28 April, 15
  • 41. Second Application Urban Air Pollution Modeling •State of the art: CFD models •Based on idealized models of the fluid movements and numerical methods (Given Priors) •With many simplifying assumptions on the ambient level •Limited in resolution and integration •Computational complexity Moosavi, Aschwanden, Velasco 2015 18 Tuesday, 28 April, 15
  • 42. Second Application Urban Air Pollution Modeling •State of the art: CFD models •Based on idealized models of the fluid movements and numerical methods (Given Priors) •With many simplifying assumptions on the ambient level •Limited in resolution and integration •Computational complexity Moosavi, Aschwanden, Velasco 2015 18 Tuesday, 28 April, 15
  • 43. Second Application Urban Air Pollution Modeling •State of the art: CFD models •Based on idealized models of the fluid movements and numerical methods (Given Priors) •With many simplifying assumptions on the ambient level •Limited in resolution and integration •Computational complexity •Using only 3% of direct measurements at the ground level •Plus more than 80 urban parameters using SOM, we were able to estimate the aerosol levels of the whole region with a reasonable accuracy (Cross Validated) •Further, we were able to detect the most informative candidate locations for monitoring stations (which are expensive)Moosavi, Aschwanden, Velasco 2015 18 Tuesday, 28 April, 15
  • 44. Third Application Contextual Mapping Or how to create personalized images of the space? 19 Tuesday, 28 April, 15
  • 45. Third Application Contextual Mapping 20 Top down or the bottom up Map “The image of the city” The Map Tuesday, 28 April, 15
  • 46. Third Application Contextual Mapping 20 Top down or the bottom up Map “The image of the city” Any MapThe Map Tuesday, 28 April, 15
  • 47. Third Application Contextual Mapping 20 Top down or the bottom up Map “The image of the city” Any Map Individualized and context dependent Maps “Any image of the city” The Map Tuesday, 28 April, 15
  • 48. 21 Tuesday, 28 April, 15
  • 49. How to look at a city with huge amount of data? “Digital Opacity?” 21 Tuesday, 28 April, 15
  • 50. How to look at a city with huge amount of data? “Digital Opacity?” Is it possible that instead of a top-down map, we provide a simple mapping process? “Toward designing the process of any map” 21 Tuesday, 28 April, 15
  • 51. Age + Health 22 Tuesday, 28 April, 15
  • 52. Method: Learn a one dimensional dictionary and take its elements as an ordered set of numbers. (Computing with contextual numbers) 23 Tuesday, 28 April, 15
  • 53. Method: Learn a one dimensional dictionary and take its elements as an ordered set of numbers. (Computing with contextual numbers) 23 Tuesday, 28 April, 15
  • 54. Age + Health 24 Tuesday, 28 April, 15
  • 55. Age + Health 24 Tuesday, 28 April, 15
  • 56. Crime Categories 25 Tuesday, 28 April, 15
  • 57. Contextual Mapping Racial Mixture in New York City? 26 Tuesday, 28 April, 15
  • 58. Contextual Mapping Redistricting and the will of the people How polarized is Colorado in different elections? Is there any bottom up approach to define the electoral borders? 27 Tuesday, 28 April, 15
  • 59. Fourth Application Modeling the Dynamics of Real Estate Market 28 Tuesday, 28 April, 15
  • 60. Monthly Median Price per sq.ft of sold houses of each Zip code in the state of Florida 29 Tuesday, 28 April, 15
  • 61. One  of  the  Basics  of  Spa0al  Modeling is  Spa0al  Correla0ons 30 Tuesday, 28 April, 15
  • 62. Classical Notion of Space (First Law of Geography) One  of  the  Basics  of  Spa0al  Modeling is  Spa0al  Correla0ons 30 Tuesday, 28 April, 15
  • 63. As an alternative: to create a space of temporal patterns SOM$ 31 Tuesday, 28 April, 15
  • 64. As an alternative: to create a space of temporal patterns SOM$ 31 This space can be based on any other aspects too. (It is a TimeVarying Random Field) Tuesday, 28 April, 15
  • 65. Two notions of space 32 Tuesday, 28 April, 15
  • 66. Two notions of space 32 Tuesday, 28 April, 15
  • 67. 21# Experimental,set,up, Forecast,model, d#%me#steps# Price#of#zone#i#in#future# Price#in#the#selected#neighbors# Price#in#the#target#Zone# TIme# Time#lag# 33 Tuesday, 28 April, 15
  • 68. 22" Experimental,set,up, Forecast,model, Price"in"the"selected"neighbors" Price"in"the"target"Zone" Different"neighborhoods"in"different"methods" Based,on,the,trained,SOM,Classical:,Based,on,physical,proximity, 34 Tuesday, 28 April, 15
  • 69. Experimental,set,up, Forecast,model, Parameters:, Es5ma5on,methods:,Linear,Regression,,Ridge,,,Bayesian,Ridge,,Knn,,…,, Time,Lag,:,15,months,(based,on,several,runs), Number,of,neighboring,zones,,K:,0,to,40, Predic5ons,ahead,=,12,months,, Training,Data:,from,1996P, No.,of,zones:,300, Before,fiTng,the,model,we,reduce,the,dimensions,using,PCA, , Measure,of,quality,of,predic5on:,Mean,Absolute,Rela5ve,Error,, ARE,,=,|prealPppredicted|/preal, 35 Tuesday, 28 April, 15
  • 70. Modeling the Dynamics of Real Estate Market Results' Predic-ng:'2005406401'from'12'months'in'advance' 36 Tuesday, 28 April, 15
  • 71. Modeling the Dynamics of Real Estate Market Results' Predic-ng:'2006404401'from'12'months'in' advance' 37 Tuesday, 28 April, 15
  • 72. Modeling the Dynamics of Real Estate Market 26# Results' Predic-ng:'2013509501'from'12'months'in'advance' 38 Tuesday, 28 April, 15
  • 73. Modeling the Dynamics of Real Estate Market Most of the times (>80%), we get better results with looking to the new space! 39 Tuesday, 28 April, 15
  • 74. Modeling the Dynamics of Real Estate Market Spatial Distribution of Error 40 Tuesday, 28 April, 15
  • 75. Summary of this research 41 Tuesday, 28 April, 15
  • 76. Summary of this research 42 Tuesday, 28 April, 15
  • 77. Summary of this research 42 •Since computational technologies have become a dominant factor in urban design and modeling... Tuesday, 28 April, 15
  • 78. Summary of this research 42 •Since computational technologies have become a dominant factor in urban design and modeling... •In order to have a pro-active role in this domain, the designers needs to be computationally literate, not just (expert) users of the computational products. Tuesday, 28 April, 15
  • 79. Summary of this research 42 •Since computational technologies have become a dominant factor in urban design and modeling... •In order to have a pro-active role in this domain, the designers needs to be computationally literate, not just (expert) users of the computational products. •Toward this goal as a first step, we tried to formalize the abstract notion of pre-specific modeling as a conceptual alternative to the state of the art in computational urban modeling and simulation. Tuesday, 28 April, 15
  • 80. Summary of this research 42 •Further, we investigated the applicability of a certain category of generic computational methods that encapsulate the complex real phenomena in a co-existence with urban data and depend less on prior domain specific theories. •Since computational technologies have become a dominant factor in urban design and modeling... •In order to have a pro-active role in this domain, the designers needs to be computationally literate, not just (expert) users of the computational products. •Toward this goal as a first step, we tried to formalize the abstract notion of pre-specific modeling as a conceptual alternative to the state of the art in computational urban modeling and simulation. Tuesday, 28 April, 15
  • 81. Summary of this research Publications •5 conference paper presentations •1 journal paper accepted •1 journal paper submitted •3 working papers •1 forthcoming book (Co-editor) 42 •Further, we investigated the applicability of a certain category of generic computational methods that encapsulate the complex real phenomena in a co-existence with urban data and depend less on prior domain specific theories. •Since computational technologies have become a dominant factor in urban design and modeling... •In order to have a pro-active role in this domain, the designers needs to be computationally literate, not just (expert) users of the computational products. •Toward this goal as a first step, we tried to formalize the abstract notion of pre-specific modeling as a conceptual alternative to the state of the art in computational urban modeling and simulation. Tuesday, 28 April, 15
  • 82. thank YOU 43 Tuesday, 28 April, 15

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