Data-Driven Approaches for Safety in Industrial Sites
A special issue of Data (ISSN 2306-5729).
Deadline for manuscript submissions: closed (30 October 2024) | Viewed by 522
Special Issue Editors
Interests: industrial safety; accident analysis; risk analysis; safety management; risk assessment; health and safety; environmental management system; risk factors; environmental impact risk asses
Interests: risk analysis; fire safety engineering (FSE); occupational safety; territorial resilience; sustainable risk management
Special Issues, Collections and Topics in MDPI journals
Interests: occupational health and safety (OHS); product service systems (PSS); ecodesign; quality function deployment (QFD); human factors and ergonomics (HFE)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Big-data and artificial intelligence techniques have affected several decision-making processes. Among them, it is worth investigating further the safety-related aspects of industrial areas through data-driven approaches to advance risk assessment.
Hence, this Special Issue aims at collecting powerful evidence of new methods and datasets in the field of industrial safety and environmental risks related to industrial processes, specifically through data mining techniques and big data.
In more detail, this Special Issue welcomes original research articles, dataset descriptors, communications, and systematic reviews. Research areas may include (but are not limited to) the following:
- Industrial accidents and lessons learned;
- The FAIRness of safety reports and data;
- Data-driven approaches to occupational risks;
- The analysis of safety reports for risk assessment;
- The environmental risks in industrial sites;
- The digitalization to assess the occupational and environmental safety of industrial processes.
Dr. Francesca Mauro
Prof. Dr. Mara Lombardi
Dr. Mario Fargnoli
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 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. Data 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 1600 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.
Keywords
- accident investigation
- lessons learned
- risk assessment
- FAIR data
- safety reports
- industrial sites
- safety management
- environmental management systems
- occupational risks
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