Authors: Francesco Grugni, Marco Voltolina
Our team has recently participated to the CAADRIA 2022 conference, held in Sydney from the 9th to the 15th of April. There, we have presented the results of our research on social media and sustainable communities, carried under the supervision of Professor Tiziano Cattaneo from the University of Pavia.
This is the abstract of our paper:
"In order to plan effective strategies for the sustainable development of individual communities, as prescribed by the United Nations’ Sustainable Development Goal 11, it is necessary for designers and policy makers to gain a deep awareness of the bond that connects people to their territory. AI-driven technologies, and specifically Object Recognition algorithms, are powerful tools that can be used to this end, as they make it possible to analyse huge amounts of pictures shared on social media by residents and visitors of a specific area. A model of the emotional, subjective point of view of the members of the community is thus generated, giving new insights that can support traditional techniques such as surveys and interviews. For the purposes of this research, three case studies have been considered: the neighbourhood around Siping Road in Shanghai, China; the village of Moscopole in southeastern Albania; the rural area of Oltrepò Pavese in northern Italy. The results demonstrate that a conscious use of AIdriven technologies does not necessarily imply homogenisation and flattening of individual differences: on the contrary, in all three cases diversities tend to emerge, making it possible to recognise and enhance the individuality of each community and the genius loci of each place."
The full text of the paper can be freely accessed at the following link:
Comments