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Special Issue "Big Data and Social Sciences"
A special issue of Social Sciences (ISSN 2076-0760).
Deadline for manuscript submissions: 15 October 2020.
Interests: interculturality; inclusive education; teacher training; big data; augmented reality
Special Issues and Collections in MDPI journals
Interests: big data; educational innovation; measurement; evaluation
This special edition aims to discuss the potential of Big Data in different areas of social sciences such as education, social work, social psychology, sociology and citizen science. The speed and rapidity of technological and scientific changes has involved the possibility of compiling massive data whose social analysis can be enormously beneficial for improving the quality of life of human beings. Massive information analysis is an opportunity for responsible, respectful and operational decision-making.
It Is extremely interesting to address the multiple dimensions and projective functions of the Big Data as the description, diagnosis, prediction and prescription of social and educational proposals for the improvement of public services and devices and the social initiative. In this sense, it is very interesting to analyze the evolution of the training needs of the population, both young people and adults, as well as the elderly, for the establishment of social, cultural, educational and public health proposals that are sustainable in the framework of a society in permanent change, dynamism and complexity.
We anticipate that this special issue will become a cornerstone of scientific literature for the Big Data in social sciences. We are interested in receiving documents from different social disciplines that illustrate through studies, research and reviews the potential for improvement of the Big Data. We also welcome the contributions outlining the positive and critical aspects of the Big Data for a calm analysis of the role it can play in the coming years. In addition, we are interested in contributions that show the analytical link and the learning and development potential of the Big Data for the implementation of improvements in education, social work, health and other services of general interest to society.
Dr. Juan Leiva
Dr. Antonio Matas
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 papers will be 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 double-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Social Sciences 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 1000 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.
- big data
- social sciences
- learning analysis
- big data in education
- big data in social work
- big data training