Data Analytics in Social Science and Information Theory II

Dear Colleagues,

The contemporary challenges that complex societies face and the importance that the analysis of the data acquires in the search for new perspectives and solutions are part of a scenario of dynamization for research, with relevant consequences for the wellbeing of humans.

Unprecedented contextual phenomena increase unpredictability and uncertainty in decision making, making the gaps and distortions of the information that circulate in various spaces, cultures, and organizations more evident. Therefore, this SI aims to incorporate cases that, from interdisciplinary dialogue, allow progress toward a horizon of better possibilities for the development and application of public policies that have a favorable impact on interaction and social coexistence.

In this sense, data analytics and information theory have been applied to the analysis and solution of various problems and controversies with scope in the social sciences, such as the analysis of social networks, modeling in business administration, communication theory, accounting system/models, tax modeling, health models, and public education.

The interpretation of the social value of data, for the strengthening of areas that require new momentum derived from the conflicts and slowdowns arising from the pandemic, is a scenario for the permanent management of the relative chaos in which decision makers operate and governance at different points in global reality.

Dr. Hanns de la Fuente-Mella
Dr. Claudio Elórtegui-Gómez
Dr. Alberto Mora Rodríguez
Guest Editors

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