DC3 — Big data and In Natura calculation for ecological planning
Project title | Big data and In Natura calculation for ecological planning (DC3) |
Supervisors | Cédric Durand (UNIGE), Razmig Keucheyan (UPC) |
Work package | WP3 — Knowledge, innovation and sociotechnical transitions in the digital era |
Objectives | The objective is to analyse how big data can be used for the analysis of economic metabolism and, consequently, for the ecological planning. Within the Doughnut economy perspective, ecological planning can be viewed as a reshuffling of economic governance in order to organise material degrowth (a hard ecological constrain to meet planetary boundaries) and a more conscious management of production and consumption processes (to meet universal basic needs within a democratic path). |
Expected results | DC3 will (i) establish a taxonomy of the uses of big data for ecological decision making, (ii) propose a methodology for in natura calculation, (iii) develop a theoretical framework articulating in natura indicators and price signals compatible with the implementation of the hard ecological constraint, (iv) build on the previous elements for institutional design of ecological planning. |
Planned mobility / secondment(s) | Duration of the PhD: 36 months (M6-M42) Main institution: UNIGE Visiting and secondment(s): UPC (M18 to M26) and SGPE (M26-M30) |
Degree awarding institution | UNIGE |