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

[Bochen Jia]

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
<https://www.mdpi.com/user/register/> and logging in to this website
<https://www.mdpi.com/user/login/>. Once you are registered, click here to
go to the submission form
<https://susy.mdpi.com/user/manuscripts/upload/?journal=ijerph>.
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 <https://www.mdpi.com/journal/ijerph/instructions> page.
*International
Journal of Environmental Research and Public Health*
<https://www.mdpi.com/journal/ijerph/> is an international peer-reviewed
open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors
<https://www.mdpi.com/journal/ijerph/instructions> page before submitting a
manuscript. The Article Processing Charge (APC)
<https://www.mdpi.com/about/apc/> for publication in this open access
<https://www.mdpi.com/about/openaccess/> journal is 2500 CHF (Swiss
Francs). Submitted papers should be well formatted and use good English.
Authors may use MDPI's English editing service
<https://www.mdpi.com/authors/english> 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

For more information, please visit:
https://www.mdpi.com/journal/ijerph/special_issues/occupational_safety_prevention


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
313-583-6416 <Laboratory313-583-6416bochenj at umich.edu>
bochenj at umich.edu <Laboratory313-583-6416bochenj at umich.edu>
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