Inductive bases for a possible phenomenology of the global emergence of COVID-19 from the complexity sciences

Abstract

This text explores the intersection between phenomenology and the sciences of complexity, seeking to understand the dynamics of social interactions during the COVID-19 pandemic. It is argued that the analysis of interactions between individuals, groups and institutions, considering nonlinearities and uncertainties, is fundamental to understand emerging social behaviors. The importance of building a phenomenology of the pandemic that takes into account the social context and the dynamic structures involved is highlighted. Two studies are mentioned: one that analyzes the effectiveness of social distancing in mitigating COVID-19 and another that develops a dynamic model to understand the spread of the disease and vaccination strategies. Both studies highlight the relevance of incorporating the social context into the analyses. The text concludes that understanding the pandemic requires an integrative approach that considers both the complexity of social dynamics and the search for the essence of phenomena. Reflection on controversial topics, such as the use of masks and vaccination, is essential for a more complete analysis of the global COVID-19 emergency, using the tools of complexity sciences to model and understand these dynamic phenomena over time.