ABSTRACT
This article compares the strategies between nine museums in Ecuador, Spain and Peru to address the educommunication activities developed as a result of the 2020 pandemic. Focused on content analysis, the research takes into account the activity of their web pages and the interaction on their social networks. The results show that in Spain informative and informative actions prevailed, while Ecuador and Peru focused on cultural and educational ones. The most relevant contents were oriented to the teaching-learning of heritage, mainly through the development of webinars and online conferences. © Global Knowledge Academics, authors. All rights reserved.
ABSTRACT
The communication strategies implemented by the museums after the COVID-19 health crisis implied the closure of the institutions to the public. Hence the need to contrast how Ecuador, Spain and Peru acted by highlighting the culture and heritage available to the population. The exploratory study was approached through mixed content analysis. The actions implemented by museums in the context of the pandemic were classified and they categorized, taking into account the type of content and resources deployed to reach the public. Finally, focus was placed on identifying UNESCO's strategic areas of action. The supranational trend registered changes depending on the situation of each country. In this sense, it was noted that the actions deployed from Spain were in line with international reports. From Ecuador and Peru, the 'Digital Activities' and the 'Activities on Social Networks' turned out to be more representative than the average described by the reports. At the thematic level, the content disseminated was mostly of a communicational and educational nature, with topics related to research and preservation being relegated. © 2021 Inst Francais Proche Orient. All rights reserved.
ABSTRACT
In the last several decades, the main causes of human migration have included: poverty, war and political strife, climate change, tsunamis, earthquakes, as well as economic and educational possibilities. In this paper, we present a system-optimized network model for multiple migration classes with migration costs and regulations inspired by the Covid-19 pandemic. We derive the variational inequality formulation associated with the system-optimization problem which consists of maximizing the total societal welfare. Lagrange analysis is also performed in order to obtain a precise evaluation of the multiclass human migration phenomenon. This work adds to the literature on system-optimization of human migration in the presence of regulations and with the explicit inclusion of migration costs.