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Modelling Lobbying Behaviour and Interdisciplinarity Dynamics in Academia

Authors :
Mazzoleni, Stefano
Russo, Lucia
Giannino, Francesco
Toraldo, Gerardo
Siettos, Constantinos
Source :
Journal of Computational and Applied Mathematics-Volume 385, 2021, 113194
Publication Year :
2018

Abstract

Disciplinary diversity is being recognized today as the key to establish a vibrant academic environment with bigger potential for breakthroughs in research and technology. However, the interaction of several factors including policies, and behavioral attitudes put significant barriers on advancing interdisciplinarity. A "cognitive rigidity" may rise due to reactive academic lobbying favouring inbreeding. Here, we address, analyse and discuss a mathematical model of lobbying and interdisciplinarity dynamics in Academia. The model consists of four coupled non-linear Ordinary Differential Equations simulating the interaction between three types of academic individuals and a state reflecting the rate of knowledge advancement which is related to the level of disciplinary diversity. Our model predicts a rich nonlinear behaviour including multiplicity of states and sustained periodic oscillations resembling the everlasting struggle between the "new" and the "old". The effect of a control policy that inhibits lobbying is also studied. By appropriate adjustment of the model parameters we approximated the jump/phase transitions in breakthroughs in mathematical and molecular biological sciences resulted by the increased flow of Russian scientists in the USA after the dissolution of the Soviet Union starting in 1989, the launch of the Human Genome Project in 1992 and the Internet diffusion starting in 2000.

Subjects

Subjects :
Physics - Physics and Society

Details

Database :
arXiv
Journal :
Journal of Computational and Applied Mathematics-Volume 385, 2021, 113194
Publication Type :
Report
Accession number :
edsarx.1802.01002
Document Type :
Working Paper
Full Text :
https://doi.org/10.1016/j.cam.2020.113194