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Transdisciplinary research has been described by Pohl (2010) as combinations of four characteristic features of transdisciplinarity: 1) issues of social relevance; 2) transcending beyond and integrating disciplinary paradigms; 3) engaging in participatory research to link abstract and case-specific knowledge; and 4) knowledge unity through synthesis leading to practices that promote common good for the socially relevant issue. This translates to transdisciplinary innovation when goods or services that create value emerge. One complex societal challenge that has emerged in recent years is that of “precision public health”. The term was coined in Australia by Tarun Weeramanthri in 2013 (Dolley, 2018) and is considered to be “a new field driven by technological advances that enable more precise descriptions and analyzes of individuals and population groups, with a view to improving the overall health of populations” (Baynam et al., 2017).

technology innovation management review

Using Constructive Research to Structure the Path to Transdisciplinary Innovation and Its Application for Precision Public Health with Big Data Analytics