Social Impacts of Big Data Applications, IoT and Challenges

  in Special Issue   Posted on September 28, 2020

Information for the Special Issue

Submission Deadline: Wed 15 Jul 2020
Journal Impact Factor : 0.000
Journal Name : AI and Society
Journal Publisher:
Website for the Special Issue:
Journal & Submission Website:

Special Issue Call for Papers:

Aims and Scope

Big Data and IoT have recently taken over every field, resulting in streamlined processes and increased efficiency. With the numerous advances launching every day in this field, and the world-changing with it, there is a necessity to be aware of the impacts that these technologies have made. There are undoubted causes for concern when it comes to implementing these technologies, like ensuring complete security and protecting data from misuse; however, it is undeniable that Big data and IoT are behind some of the most efficient applications that are being, or have been developed.   With the rising interest in intelligent systems and the ever-growing demographic of smartphone users, new bridges are being built every day between the excessive worlds of data, people and things thereby changing the norm of the society. Machine-generated data can have an impact on robotic facilities in manufacturing systems, supply chain utilities like warehouses and stores, etc. Several companies have mastered the skill of analyzing and utilizing Big Data to gain an edge over their competitors.  
     Consider Amazon’s recommendation engine; the company takes buying patterns of millions of users, analyzes them, compares the patterns with millions of others to find similarities, and converts the results into personalized predictions about what the consumer would want to purchase next. Similarly, suggestions regarding similar books and narratives, related movies or other forms of entertainment can enhance the buying experience for the user while also being of great advantage to the retailers by promoting sales. These giants have gained access to enormous data mines in the process, raising the possibilities for social control and monopolization of the industry, which is deeply concerning.
     To meet the challenges of the future we need to be constantly updated with the current trends and new ideas as they begin to take shape. IoT is seen as a suitable platform for delivering education and training to millions of people in remote locations. While intelligent teaching systems might seem like the answer to a fair and just education landscape, automating services like teaching takes the human touch out of the equation. For a profession that deals predominantly with the formative years of the human psyche, this move could stunt emotional growth.
     Healthcare is another segment where IoT is already making useful contributions to society. With the increase in the aging population around the world, the ability to monitor and protect the elderly will be immensely helpful in improving their quality of life and IoT can makes this a reality for all of us. However, security breaches are a very real concern especially with sensitive data such as medical reports being dealt. Complete security cannot be guaranteed and it does pose a risk, albeit a small one, that must be kept in mind when dealing with these solutions.
     Despite the numerous benefits brought forward by these two technologies, there is a lot to think about concerning how much power conglomerates like Amazon and Google hold, considering their enormous data fields and server farms. Artificial Intelligence and Big Data have provided the world with countless applications of merit, but it is important to take a step back and look at the whole picture; it is important to evaluate the effects they have on the society and make informed decisions.

This special issue highlights the recent trends and societal impacts and implications of Big Data and IoT. The potential topics of this research area included but are not limited to:

  •  Societal impacts and implications of big data and its challenges 
  • Social Impacts of Internet of Things (IoT), challenges and opportunities
  • Impacts of Big Data in Business Intelligence and Finance- problems and opportunities
  • The impact and inter-relationship of Big Data on Social and Cultural Factors
  • Impact of Big Data Analytics on Healthcare and Society
  • Social Impacts of Industry-specific Big Data Challenges
  • Social Implications of Data Mining and Information
  • The Value and Impact of Bioinformatics using Data analytics
  • Social and cultural Indicators for Sustainable Supply Chain Management using Big Data
  • Impact of Internet of Things on the Social Fabric
  • Social Impacts of modern Education Systems using IoT
  • The Impact of data-driven Social and Cultural Environment on Health    
  • Impact of Big Data on Social awareness & Security

Guest Editors

Dr. K. Vijayakumar (Lead Guest Editor), St. Joseph’s Institute of Technology, OMR, Chennai, India, Email: 
Dr. Hong Lin, University of Houston Downtown, USA,  Email: 
Dr. Stephen Tunde Olabiyisi, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria, Email:
Dr. Phaklen Ehkan, School of Computer and Communication Engineering,  University of Malaysia Perlis, Malaysia, Email:

Important Dates

Manuscript submission:                July 15, 2020
Notifications:                                September 30, 2020
Revised manuscript submission:  October 30, 2020
Final decision:                               November 30, 2020
Final manuscripts due:                  December 30, 2020

Contribution Types

We welcome contributions across two formats:

  • Original Papers: Contributions may be experimental, based on case studies, or contextual discussions of how Big Data Applications, IoT affect society, organisations, and human agency, dealing observable effects on culture, practices and human life as well as mentality. All papers are double blind peer-reviewed by two referees and the editorial team.
  • Open Forum contributions: may come from young researchers, practitioners and others interested in the topics of the special issue. Contributions might be, but not limited to, discussion papers, literature reviews, case studies, working papers, features, and articles on emerging research. Papers published in the open forum target a broad audience i.e. academics, designers as well as the average reader. Open Forum contributions will be double blind peer-reviewed by one reviewer and the editorial team.

Submission Guidelines

Contributors are asked to submit a paper between 10 and 20 pages in the AI & Society’s manuscript format. You can find more information about formatting under the section “Submission guidelines/Instructions for Authors” at
For inquiries and to submit your abstract and manuscript, please contact:

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