Data Analytics in Social Science and Information Theory II

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Theory and Methodology".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 6345

Special Issue Editors

Departamento de Ciencia Politica, Facultad de Ciencias Económicas y Administrativas, Pontificia Universidad Católica de Valparaíso, Valparaíso 2373223, Chile
Interests: social science models; optimization and forecasting of scenarios; modeling in higher education; network data analysis; applied econometrics; econometrics in business administration
Departamento de Ciencia Politica, Facultad de Ciencias Económicas y Administrativas, Pontificia Universidad Católica de Valparaíso, Valparaíso 2373223, Chile
Interests: political communication; social network analysis; communication entropy; election studios; journalism and globalization; media communication; voting behavior
Departamento de Ciencia Política, Antropología Social y Hacienda Pública, Facultad de Derecho de la, Universidad de Murcia, 30100 Murcia, Spain
Interests: political communication; election studios; voting behavior; social science models

Special Issue Information

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • social science
  • optimization and forecasting of scenarios
  • network data analysis
  • econometrics in business administration
  • social computing
  • social media
  • political communication
  • public politics
  • decision making

Published Papers (2 papers)

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Research

15 pages, 314 KiB  
Article
Multinomial Logistic Regression to Estimate the Financial Education and Financial Knowledge of University Students in Chile
by Hanns de la Fuente-Mella, Benito Umaña-Hermosilla, Marisela Fonseca-Fuentes and Claudio Elórtegui-Gómez
Information 2021, 12(9), 379; https://0-doi-org.brum.beds.ac.uk/10.3390/info12090379 - 17 Sep 2021
Cited by 6 | Viewed by 3145
Abstract
All individuals face decisions during their lifetime that directly influence the economic well-being of their families. Therefore, financial education can be a fundamental tool to maximize our economic resources and use them wisely. A virtual survey was administered to 410 volunteer students belonging [...] Read more.
All individuals face decisions during their lifetime that directly influence the economic well-being of their families. Therefore, financial education can be a fundamental tool to maximize our economic resources and use them wisely. A virtual survey was administered to 410 volunteer students belonging to a public university in southern Chile. The objective was to determine the level of financial knowledge and appreciation of financial education of future professionals. The most important results demonstrate a reality in which young people said they had the habit of saving and budgeting at home and were responsible for paying their bills on time. However, only a very small number of participants claimed having a superior level of knowledge regarding financial literacy. The main challenge for universities is to include this topic in the elective curriculum of all degree programs to promote financial criterion development that contributes to the comprehensive training and professional competencies of future graduates. Full article
(This article belongs to the Special Issue Data Analytics in Social Science and Information Theory II)
10 pages, 300 KiB  
Article
Multinomial Logistic Regression to Estimate and Predict the Job Opportunities for People with Disabilities in Chile
by Nelson Lay-Raby, Hanns de la Fuente-Mella and Omar Lameles-Corvalán
Information 2021, 12(9), 356; https://0-doi-org.brum.beds.ac.uk/10.3390/info12090356 - 31 Aug 2021
Cited by 2 | Viewed by 2758
Abstract
In Chile there is a growing interest from society in improving the access of people with disabilities to the labor market. However, applied research on this topic is not abundant. The purpose of this research is to estimate the job opportunities of people [...] Read more.
In Chile there is a growing interest from society in improving the access of people with disabilities to the labor market. However, applied research on this topic is not abundant. The purpose of this research is to estimate the job opportunities of people with disabilities in Chile. For this, the data from the second Chilean national disability study were used to make a Multinomial Logistic Regression Model that would help to predict the probability of certain variables that influence job opportunity. For the generated model, variables related to the additional income of people (subsidies or extra income), educational level attained, pursuit of studies, and the degree of disability itself were found. It was determined how some variables affect the employment opportunity, particularly, variables related to continuity and access to studies. Full article
(This article belongs to the Special Issue Data Analytics in Social Science and Information Theory II)
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