Thesis start: October 1, 2024
Thesis end:
September 30, 2027
Planned thesis defense date:

Abstract

Techno-solutionism, through the “smart city”, has established itself as the main paradigm for moving cities towards a more sustainable model. This topic takes a critical stance by advocating techno-discernment through urban development in which needs and the ways of meeting them are re-examined, with the help of citizens, in order to provide frugal solutions that are technically simple, accessible to as many people as possible, and intrinsically linked to their local area, so as to raise users’ awareness and restore their ability to act on their environment. The aim will be to co-create (through citizen science) an urban development methodology based on the principles of permaculture and low-tech, and to quantify its environmental and social impacts using various indicators. These aspects (i.e., citizen involvement and impact quantification) are the main gaps preventing the realisation of urban utopias drawing on these concepts in the literature. A partnership with ENSAM Chambéry and the Cité Circulaire in Saint-Étienne will enable the creation of open experimentation sites in order to include as many stakeholders as possible in the process of creating the model. This topic is positioned as a response to the IMT 2030 strategy (EnR2 scientific community) and aligns with the ADEME (IPCC) France 2050 scenarios.

Keywords

Co-creation, low-tech, need, urban development.

Partners and/or Funders

Funding: IMT Programme Futur, Rupture et Impacts

Relevant Sustainable Development Goals

News

Supervision

Valérie LAFOREST

Associate Professor
Thesis supervisor

Audrey TANGUY

Assistant Professor
Co-supervisor

See also

Author

Elena YAN
Computer Science and Intelligent Systems
UMR CNRS 6158 – LIMOS – Laboratory for Computer Science, Modeling and Systems Optimization

Year

2023

Subject

Self-adaptive Regulation Mechanisms for a Trustworthy and Sustainable Industry of the Future.

École doctorale

Doctoral School 488 - Science, Engineering, Health
Industrial Engineering

Supervision

Olivier BOISSIER
Associate Professor
Thesis Supervisor

Author

Nicolas SAUZEAT
Mathematics and Operations Research for Engineering
UMR CNRS 6158 – LIMOS – Laboratory for Computer Science, Modeling and Systems Optimization
EA 4161 – COACTIS – Équipe de recherche en gestion

Year

2022

Subject

Transformation of Value Networks – Towards Agile and Resilient Industrial Sectors

École doctorale

Doctoral School 488 - Science, Engineering, Health
Industrial Engineering

Supervision

Khaled MEDINI
Associate Professor
Thesis Supervisor