Plenary 4: How do we research and evaluate Transdisciplinarity? Prof. Eleonora Barbieri Masini (Pontificia Universita Gregoriana, Italy)
To overcome “the intrinsic limits of a mono-disciplinary perspective to global issues”,
Prof. Masini problem-solving.
She made reference to “‘global problematic” approaches” provided
a significant study of i.e., an ensemble by “many disciplines”
the Club of Rome devoted to the so-called
of problems together with
Prof. Masini made clear that, to characterize this study, which in the 70s had a significant impact on the academic community, the concept of “interdisciplinarity”
should preferably be utilized.
In fact, in Prof. Masini’s conception of interdisciplinarity
<<disciplines offer a parallel
analysis of problems)), while in a trasdisciplinary perspective ((disciplines offer their spectfic approaches and even basic assumptions, to a dialogue, in order to address
complex issues together))
Further developments in the field of “future perception of the importance of transdisciplinarity
studies” have seen an intensified with an increasing awareness on the
Prof. Masini explained that the need to develop effective “approaches and methods” through a ‘yoint effort” became clear, and how this can be achieved only in a transdisciplinary perspective.
Nevertheless, she pointed out how transdisciplinarity is still perceived with scepticism, thus encountering resistance in many fields of human and natural sciences.
Moreover, theoretical application,
she added that transdisciplinarity,
seen as an
since, on the
is already being
difficult to conceive in lacking of any significant “Future Studies”.
Future studies as well as their techniques, e.g. “Delphi”
and “definitely into the future”
and, on this basis, to build an image of
assumptions of various disciplines” “non-predictive” analyses.
Prof. Masini identified in this threefold quality of being “global” “transdisciplinary” , the explanation of the many criticisms directed at Future Studies, and “non-predictive”
based on the <awareness that the many variables necessary to understand the world are difficult to constrain in global mathematical models)).