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LEVERAGING AI TO CREATE A SAFER WORKPLACE ENVIRONMENT

A January 25th EHS Today-hosted webinar sponsored by ComplianceQuest

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Date: Wednesday, January 25, 2023

Time:  2:00 PM ET / 1:00 PM CT / 11:00 AM PT / 7:00 PM GMT

Sponsor: ComplianceQuest

Duration: 1 Hour

Register Today!







Already registered? Please click here to log in.

Summary

Industrial workplaces remain one of the most high-risk work environments as they
routinely require their employees to work with various equipment and dynamic
conditions.  The ability to predict serious injury and fatality (SIF) risks
before an incident occurs is essential to create a robust safety management
system that effectively prevents such incidents.  

Motivated by this perspective, contemporary safety research now explores ways to
accurately forecast future SIF risks and help professionals intervene in a
timely manner. To do so, safety researchers take advantage of the significant
developments in computing techniques and processing power using tools like
machine learning. In this presentation, Dr. Erkal talks about the art of making
predictions in the safety domain, different safety performance metrics, and
demonstrates a predictive model that could differentiate SIF exposure from
safety success given business, project and team attributes of a workplace
setting. Join us for these key takeaways:

 * Learn how to forecast future SIF conditions to mitigate risks
 * Apply predictive analytics methods in safety
 * Use various safety performance metrics to evaluate and optimize your safety
   programs
 * Discover a predictive model that could separate SIF exposure from safety
   success

Speaker



Dr. Elif Deniz Oguz Erkal | Senior Associate, Construction Consulting |
Exponent 

Dr. Oguz Erkal graduated from University of Colorado Boulder with a PhD in
Construction and Engineering management specializing in safety performance
measurement and predictive analytics for serious injury and fatality prevention.
She specializes in data and knowledge management systems, predictive analytics,
and organizational design, change, and assessments.  

Previously she worked in the oil and gas industry as a contracts manager and
completed her earlier graduate work in Carnegie Mellon University, which had an
emphasis on operational networks, and organizational learning in construction.  

Sponsored by:







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