Topical Collection "Pervasive Intelligent Data Systems"

A topical collection in Information (ISSN 2078-2489). This collection belongs to the section "Artificial Intelligence".


Prof. Dr. Filipe Portela
E-Mail Website
Collection Editor
Prof. Dr. Manuel Filipe Santos
E-Mail Website
Collection Editor
Information Systems and Technologies, Algoritmi Research Centre, University of Minho, 4710-057 Braga, Portugal
Interests: intelligent decision support systems; artificial intelligence; business intelligence; data mining; intelligent data systems
Special Issues, Collections and Topics in MDPI journals
Dr. Kolomvatsos Kostas
E-Mail Website
Collection Editor
Informatics and Telecommunications, University of Athens, 106 79 Athens, Greece
Interests: intelligent systems; distributed systems; distributed machine learning; computational intelligence; soft computing
Special Issues, Collections and Topics in MDPI journals

Topical Collection Information

Dear Colleagues,

A pervasive environment is rich in information, which can be used by its occupants to enhance the quality of their work and life. By adopting pervasive information systems, the information can be created, managed, distributed, and consumed more effectively, leading to more advanced interactions among users and the environment, anywhere and anytime. These new artifacts are embedded in the physical space, working together to sense and communicate user-related and environmental information and in an unobtrusive way to support the decision process, user tasks, and activities.

Pervasive Intelligent Data Systems (PIDS) extend the Data Systems paradigm by introducing a set of novel characteristics into society. This Collection aims to present emerging topics: Artificial Intelligence, Pervasive Information Systems and Data Science and evaluate their importance for society and the creation of new knowledge, overcoming temporal and local barriers. PIDS is focused on demonstrating how to take advantage of this new sort of information systems and which kind of solutions can be developed in order to support the decision making process, anywhere and anytime.

Being aware of the most recent situations in Europe and the Horizon 2020 strategy, deeper analysis should be performed on this emerging topic. Authors are invited to submit unpublished work, contributing research papers, case studies and demonstrations that present original scientific results, methodological aspects, concepts and approaches in the multidisciplinary field of PIS. Authors should present new trends, discuss future challenges and understand how information affects the way humans interact with the built environments occupied by them.

Prof. Carlos Filipe Portela
Prof. Manuel Filipe Santos
Prof. Kostas Kolomvatsos
Collection Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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 collection 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 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.


  • Artificial Intelligence
  • Business Intelligence
  • Data Engineering
  • Data Mining
  • Data Science
  • Information Systems
  • Intelligent Decision Support
  • Intelligent Systems
  • Pervasive Computing
  • Pervasive Data

Published Papers

This collection is now open for submission.
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