Special Issue "Big Data Analytics for Social Services"
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).
Deadline for manuscript submissions: 31 December 2021.
Head of Statistical Data and Policy Analysis Division (SIBa), Research and Documentation Centre (WODC), Ministry of Justice and Security, The Hague, The Netherlands
Interests: big and open data; privacy; e-government; artificial intelligence
Special Issues and Collections in MDPI journals
Scientific Researcher at Statistical Data and Policy Analysis Division (SIBa), Research and Documentation Centre (WODC), Ministry of Justice and Security, The Hague, The Netherlands
Interests: big and open data; data mining; machine learning; privacy and security by design; privacy and security engineering; risk management
Public organizations, as well as private enterprises, collect data directly as the input necessary for provisioning their services (like contact information of individuals and citizens) or indirectly as the byproduct of their service provisioning (like the process information related to the chain of actions and interventions). Further, data are currently being generated, collected, analyzed, and distributed at a fast-growing pace. This growth is due to the proliferation of many connected devices (such as cameras, smart phones, sensors, and smart household appliances), widespread and intensive usage of social networks, and digital transformation of business and organizational processes and services. All these have presently resulted in the Big Data paradigm.
There is a growing demand to make use of Big Data and develop (new) applications and services that ease our daily lives, create added value for businesses, provide insight into societal phenomena, and guide policymaking processes. Often, Big Data usage does not fully coincide with the purpose for which the data were originally collected. Using the Big Data gathered from various sources and for diverse purposes, for example, can violate fundamental human rights such as privacy, liberty, autonomy, and dignity. Linking various Big Data sources can reveal (new) privacy-sensitive information about individuals, analyzing Big Data can lead to wrong classification of individuals, and even labelling individuals correctly can be harmful and illegal when, for example, individuals become subject to unjustified or unjust discrimination.
The aim of this Special Issue is to foster research on methodologies, concepts, policies, procedures, and technologies that contribute to using Big Data for provisioning meaningful social services in a responsible way (via, e.g., preserving privacy and fairness). We invite researchers and practitioners from academia, industries, and public organizations to present their innovative (applied) research results or novel approaches and methods related, but not limited, to the following topics:
- Applications areas of Big Data in a responsible way for policymaking and social service provisioning in, for example, public health, healthcare, e-learning, economics, insurance, and business domains;
- Concepts, procedures, policies, and technologies related to safeguarding human values and rights when using Big Data. Example topics include privacy-enhancing architectures, frameworks, mechanisms and tools, design aspects of sociotechnological systems, and transparency and accountability aspects;
- Other relevant topics include pilots, use cases, data quality issues, misinterpretation and misunderstanding aspects, and ethical issues.
Note that the submitted work should be related to the general topic of the special issue in some way. In case of any doubt please feel free to contact the guest editors.
Prof. Dr. Sunil Choenni
Prof. Dr. Mortaza S. Bargh
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 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. Big Data and Cognitive Computing is an international peer-reviewed open access quarterly 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 1400 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
- data analytics
- data mining
- machine learning
- privacy (and security) by design
- risk management