| id |
caadria2018_115 |
| authors |
Przybylski, Maya |
| year |
2018 |
| title |
A Framework to Establish Data Quality for Software Embedded Design |
| doi |
https://doi.org/10.52842/conf.caadria.2018.2.267
|
| source |
T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 267-276 |
| summary |
This paper focuses on the discovery and articulation of methods for expanding the degree to which designers relate to the data used in their computationally-oriented projects from a sociocultural and ethical perspective. It supports the early development of methods directed at achieving a more complete engagement with the computational components embedded within software embedded design work. |
| keywords |
Computational Design; Ethics; Software Embedded Design; Design Methods; Information Processing |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (2,348,182 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 08:00 |
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