Objective
Contemporary societies are underpinned by industrial modernity: a set of commonly shared ideas, institutions and practices related to the natural environment and technoscience. Having historically unleashed massive leaps in productivity, economic growth and societal welfare, many traits of industrial modernity have now become maladapted to the current socio-ecological polycrisis. As a result science and technology promise to solve the grand challenges of climate change, resource depletion and loss of biodiversity with one hand, only to keep intensifying them with another. There is thus a fundamental need to rethink industrial modernity.
Attempts to detect signs of this fundamental shift currently remain fragmented within and between disciplines like sustainability science, innovation studies, or history of technology. RiDe will use a new Deep Transitions framework from the sustainability transitions field to provide an overarching synthesis on the acceleration, crisis and transformative prospects of industrial societies from 1900 to the present. It focuses on 3 questions: 1) what are the major historical continuities and emerging ruptures in industrial modernity? 2) what are the mechanisms through which technoscience keeps blocking transformative environmental practices? 3) in which countries is major transformative change most likely to occur?
RiDe will 1) use a mixed method research design, combining text mining, databases, stylized narrative explanation, and process-tracing, which; 2) enables it to discover new empirical patterns in the evolution of industrial modernity, and; 3) develop a composite index for identifying countries currently least hindered by the historical legacy of industrial modernity. The results will be synthesized into the first macro-level middle-range process theory in transitions studies, offering a new comprehensive, historically-informed and empirically-backed interpretation of industrial modernization for sustainability science.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesdatabases
- humanitieshistory and archaeologyhistory
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- social sciencessociologyanthropologyscience and technology studies
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Keywords
Programme(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Funding Scheme
HORIZON-ERC - HORIZON ERC GrantsHost institution
51005 Tartu
Estonia