Braiding the Triple Helix and beyond -- as an exercise in juggling?

Governance as "juggling" -- Juggling as "governance" (Part #4)

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Triple Helix: The argument noted above relating to the Triple Helix is remarkably well highlighted in relation to modelling learning as an extension of institutional innovation, as reproduced from Contrasting the implications of "triple helix" -- cognitive and otherwise (2017). It would seem that the institutional model has inspired exploration of a "triple helix" approach in domains such as learning, especially in the light of the cognitive implications of innovation (Eva Rydberg Fåhræus, A Triple Helix of Learning Processes: how to cultivate learning, communication and collaboration among distance-education learners. Stockholm University, 2003).

At the University of Melbourne, the Triple Helix of research, learning and teaching and engagement, is the core organizing principle of its strategy, and an enduring commitment, as illustrated below left, and described by its Vice-Chancellor (Glyn Davis, Growing Esteem: a discussion paper, University of Melbourne, 2014). As indicated therein, however, the challenge of "integrating" the labelled strands remains a challenge.

To make this model a success, we will need to integrate further the three strands of the Triple Helix so that research, learning and teaching, and engagement powerfully reinforce each other....

The University has employed considerable resources to pursue each of the strands of the Triple Helix. Yet the real power of the Triple Helix -- its integration -- remains only partially realised. Having pursued the individual goals of each strand, the University can now bind together all the strands of the Triple Helix through engagement....

How does the University achieve its aims to deliver greater impact through research, offer an outstanding student experience in a digital world, and better integrate the strands of the Triple Helix? The answer lies not just in the goals we set for the institution, but in how we support our people, organise infrastructure, and align resources.

Triadic thinking -- an Australian specialty?
Triple Helix University of Melbourne	3-ball juggling pattern as a braid Monash University, Melbourne

Juggling patterns as braids: As indicated by Burkard Polster (The Mathematics of Juggling [excerpt], Monash University, 2003), the diagram above-right shows what the trajectories of juggling the basic 3-ball pattern look like (viewed from above). The three trajectories form the most basic braid. Braids are recognized as important mathematical objects. It has been shown that every braid can be juggled in that sense (Polster, 2003; Matthew Macauley, Braids and Juggling Patterns, 2003; Satyan Devadoss and John Mugno, Juggling braids and links, The Mathematical Intelligencer, 29, 2007). The implications have been further discussed separately (Potential cognitive implications of toroidal helical movement, 2016; Category juggling reframed through visualization dynamics, 2016).

Sociophysics: As noted above, an effort was made to reconcile understandings of sociology and physics through a triadic framework by Paris Arnopoulos (Sociophysics: Cosmos and Chaos in Nature and Culture, 1993). As a consequence of the emergence of interest in the Triple Helix concept, Arnopoulos articulated the correspondence with that framework on the occasion of the Third Triple Helix International Conference (Braiding the Triadic Codex and Triple Helix: the sociophysics of nature-culture-nurture and academy-industry-polity, 2000). This suggests a greater degree of articulation between the three strands than is seemingly available from other sources.

However, given the recent data mining scandals in use of profile data in manipulation of democratic elections, the proponents of other flavours of "sociophysics" as a discipline merit a degree of challenge in claiming paternity of it, as with Serge Galam (Modeling the Forming of Public Opinion: an approach from sociophysics, Global Economics and Management Review, 18, 2013). The issue also merits attention in the light of the so-called Sokal Affair and related commentary (Alan D. Soka and and Jean Bricmont, Fashionable Nonsense: postmodern intellectuals' abuse of science, 1998). This is especially the case with the progressive development of algorithms of relevance to aspects of governance by artificial intelligence.

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