Research Topic

Digital Safety Delivery

About this Research Topic

The Research Topic addresses the transformation of traditional risk management and safety delivery systems into fully integrated IT systems as a consequence of the global digitalization trend by bridging the gap between safety- and risk sciences and computer science. Digitizing safety delivery and risk management is onerous because it deals with mankind’s hazardous activities, which could potentially cost lives. This creates special conditions in the design on safety- and IT systems at the same time: they require robust approaches in relation to accuracy, assurance, acceptance criteria, security and litigations.
This Research Topic enables academic researchers, safety- and risk experts, software engineers, decision-makers, government agencies and corporations to present their advances on the latest trends in the field. We welcome papers that cover advancements in: enterprise architecture, artificial intelligence and machine learning, business intelligence systems, efficient data models and risk analysis, online risk assessment, dynamic barrier management, text-analysis, formal methods, interface design, maturity levels of digital safety management systems, reliability engineering and condition monitoring, change management, trust systems, standardization and business implementation methods.
The exchange of ideas facilitates the efficient and effective digitalization of safety- and risk systems across industries including but not limited to: manufacturing, energy, transport, nutrition, infrastructures, trade, social responsibility, legislation, and health care. This Research Topic focuses primarily on original research papers across its whole scope, but also welcomes state-of-the-art review papers and first-hand use cases of special significance and discussion papers on hot topics. We are looking forward to your excellent contributions.


Keywords: Big Data, Risk management, Safety Management Systems, Artificial Intelligence, Enterprise Architecture


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

The Research Topic addresses the transformation of traditional risk management and safety delivery systems into fully integrated IT systems as a consequence of the global digitalization trend by bridging the gap between safety- and risk sciences and computer science. Digitizing safety delivery and risk management is onerous because it deals with mankind’s hazardous activities, which could potentially cost lives. This creates special conditions in the design on safety- and IT systems at the same time: they require robust approaches in relation to accuracy, assurance, acceptance criteria, security and litigations.
This Research Topic enables academic researchers, safety- and risk experts, software engineers, decision-makers, government agencies and corporations to present their advances on the latest trends in the field. We welcome papers that cover advancements in: enterprise architecture, artificial intelligence and machine learning, business intelligence systems, efficient data models and risk analysis, online risk assessment, dynamic barrier management, text-analysis, formal methods, interface design, maturity levels of digital safety management systems, reliability engineering and condition monitoring, change management, trust systems, standardization and business implementation methods.
The exchange of ideas facilitates the efficient and effective digitalization of safety- and risk systems across industries including but not limited to: manufacturing, energy, transport, nutrition, infrastructures, trade, social responsibility, legislation, and health care. This Research Topic focuses primarily on original research papers across its whole scope, but also welcomes state-of-the-art review papers and first-hand use cases of special significance and discussion papers on hot topics. We are looking forward to your excellent contributions.


Keywords: Big Data, Risk management, Safety Management Systems, Artificial Intelligence, Enterprise Architecture


Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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Submission Deadlines

31 October 2019 Abstract
31 March 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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Topic Editors

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Submission Deadlines

31 October 2019 Abstract
31 March 2020 Manuscript

Participating Journals

Manuscripts can be submitted to this Research Topic via the following journals:

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