Transition Intelligence

Transition intelligence involves the capacity to collect, analyze, and interpret data and information pertaining to societal transitions, including shifts in economy, technology, environment, health, energy, culture, and governance. It encompasses the use of this knowledge to make informed decisions, develop strategies, and implement solutions to navigate and manage transitions effectively. Transition intelligence draws upon diverse disciplines, technologies, and data sources to understand, and address the complexities of societal changes and their impacts on various aspects of human life and the environment. It is instrumental in informing policy-making, fostering resilience, promoting innovation, and facilitating development in the face of rapid societal transformations.

Having accepted the idea that the concept of transition identifies a complex set of phenomena, with interdependencies between various domains, the epistemological approach to transitions requires a systemic and transdisciplinary vision and implies overcoming the traditional canons of learning and explaining reality with closed knowledge and autonomous.
The methodological approach must necessarily be based on the analysis of the structural, cultural and implementation dimensions of the transitions through the evolution of the disciplines (natural sciences, engineering, economic-legal, history, pedagogy, philosophy, sociology, …) and must lead to the definition of summary tools that allow you to guide transitions towards the desired objectives by supporting the decisions and actions of stakeholders.
The management of transitions therefore implies the construction of strategic forecasting tools and models for decision makers and “literacy for the future” for citizens, starting from the new generations. With reference also to the intensity of the transition and its expected duration, it is necessary to rethink the ways in which the transition is scientifically addressed given that in itself it does not belong to a predefined domain and does not necessarily fuel only a knowledge, a scientific paradigm, an epistemological status, but involves different disciplines both for analysis and management purposes.