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Call for Papers, IJERPH Special Issue "Occupational Risk Perception, Safety Training, and Injury Prevention in the New Intelligent yet Complex Work Environments"

  • 1.  Call for Papers, IJERPH Special Issue "Occupational Risk Perception, Safety Training, and Injury Prevention in the New Intelligent yet Complex Work Environments"

    Posted 02-21-2022 14:42

    Special Issue Information

    Dear Colleagues,

    In the tangible future, the emergence of Artificial Intelligence (AI) could make work more intelligent yet more complex, which could significantly alter the safety concept and practice in modern work environments. The operation of "smart" machines in an autonomous cyber-physical system could introduce many new and unexpected factors that redefine the safe human-machine interaction. While new technologies are rapidly reshaping the modern industrial landscape, significant challenges related to their safe application are emerging. The key challenge of occupational risk perception, safety training, and injury prevention in new complex and intelligent environments is to identify major components, e.g., lethalness, prevalence, and control, that influence risk perception and prevention at work. Whether workers engage in safe behavior is influenced by the worker's perception of risks, the judgment on the gravity of the consequences, and the perceived control over hazards. To address the challenges faced by the new work environment, the aim of this special issue is to collect the most recent research related to risk perception, safety training, and injury prevention in new era work environments. We encourage original submissions which describe theoretical, methodological, multidisciplinary advancements, and practical applications in the area of consideration.

    Topics of interest include, but are not limited to:

    • Risk assessments in new industrial environments
    • Occupational Health & Safety standards and protocols
    • Big Data for risk assessment and injury prevention
    • Safety Training & Education
    • Safety applications for new human-machine interaction
    • Safe communication protocols and interface
    • Safety promotion in new industrial environments
    • Economic impacts of injury prevention in new industrial environments
    • Theories and assessment tools of safety culture/climate.

    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. International Journal of Environmental Research and Public Health 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 2500 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

    • OHS
    • safety
    • ergonomics
    • human factors
    • risk assessments
    • accident assessment
    • smart safety
    • industrial 5.0
    • industrial 4.0
    • safety training
    • injury prevention
    • day aways from work
    • artificial intelligence
    • smart robots
    • human-computer interaction
    • human-computer interface
    • risk analysis
    Bochen Jia PhD
    Associate Professor, Industrial and Manufacturing Systems Engineering, University of Michigan - Dearborn 
    Program Director, MSE in Industrial & Systems Engineering, University of Michigan - Dearborn


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    Bochen Jia
    Dearborn MI
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