Advances in Data Science: Methods, Systems, and Applications

Dear Colleagues,

We are pleased to announce a new Special Issue, “Advances in Data Science: Methods, Systems and Applications”, which aims to allow researchers and practitioners from different research areas to share their experiences in developing state-of-the-art analytics solutions through new methods, novel architectures and systems, and real-world applications that could benefit from the proposed solutions. Researchers are invited to submit research activities describing innovative methods, algorithms, and platforms that cover all facets of a data analytics process that provides interesting and useful services. Papers detailing industrial implementations of data analytics applications, design, and deployment experience reports on various issues raised by data analytics projects are particularly welcome. We call for research, experience reports, and demonstration proposals covering all aspects of data analytics projects and research activities. 

We welcome technical, experimental, and methodological manuscripts, as well as contributions to applied data science, that address the following topics:

• Advances in data science and data management methods, systems, and applications.
• Intelligent systems, cyber-physical systems, data engine, IoT platforms, big data frameworks and architectures.
• Advances in AI and ML methods such as deep neural networks, explainable AI, computational intelligence, natural language processing, reinforcement learning models, concept drift management, and augmented reality.
• The fields of engineering, computer science, physical, social, and life sciences, with a particular emphasis on ethical issues, fairness, and accountability.
• Outlining academic and industrial needs and suggesting future research directions and agendas.

Application scenarios of interest include, but are not limited to:

• Life sciences and healthcare;
• Internet of Things;
• Urban economy and the urban environment; 
• Government transparency and IT anti-corruption; 
• Industry 4.0; 
• Societal challenges; 
• Issues in line with UN development goals: https://www.un.org/sustainabledevelopment/sustainable-development-goals/.

Dr. Giovanni Malnati
Dr. Genoveva Vargas-Solar
Dr. Tania Cerquitelli
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 250 words) can be sent to the Editorial Office for assessment.

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. Electronics is an international peer-reviewed open access semimonthly 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 2400 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.