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The long road to education for upcoming data-driven practices in architecture: gaps, difficulties and silos
de Boissieu, Aurélie; Deutsch, Randy
2022In ICSA 2022
Peer reviewed
 

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Keywords :
Education; Architecture; Digital Architecture; Data-Driven design
Abstract :
[en] Today there are high expectations for the education of the next generation of digitally aware architects and engineers. While most of the existing publications on these educations focus on single innovative experiments, this research proposes an inclusive investigation of their larger trends, strengths and limitations. Based on a first bibliometric study a survey was defined and sent to a wide population of educators and trainers in both academia and practice. The results of this survey show numerous gaps and silos in what is taught today, and highlight as well the numerous difficulties met.
Disciplines :
Architecture
Author, co-author :
de Boissieu, Aurélie  ;  ULiège - Université de Liège [BE]
Deutsch, Randy;  University of Ilinois
Language :
English
Title :
The long road to education for upcoming data-driven practices in architecture: gaps, difficulties and silos
Publication date :
05 July 2022
Event name :
ICSA
Event date :
July
By request :
Yes
Audience :
International
Main work title :
ICSA 2022
Publisher :
ICSA
Peer reviewed :
Peer reviewed
Available on ORBi :
since 10 June 2022

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