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  4. Semi-quantitative Model for Risk Assessment in University Laboratories
 
conference paper

Semi-quantitative Model for Risk Assessment in University Laboratories

Kalugina, Anastasia
•
Meyer, Thierry  
January 26, 2021
Proceedings of the 4th International Conference on Intelligent Human Systems Integration (IHSI 2021)
4th International Conference on Intelligent Human Systems Integration (IHSI)

University chemical laboratories, contrary to common perception, are dangerous working environments. Unlike industry, where most processes are standardized, in academia, they are modified so frequently that in-depth and detailed risk assessment becomes unfeasible. A major challenge in conducting a reliable evaluation is the absence of statistical data, as there is a lack of reporting and a high diversity of the processes. Strong human involvement in all activities requires consideration of human factors in the risk assessment. A semiquantitative method that combines both easily accessible quantitative information and encoded qualitative data is the way to overcome these challenges. This work proposes a novel approach of semi-detailed risk analysis. The main advantage of this method is its applicability to a fast-changing environment with a strong presence of human factors and absence of statistical information.

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Type
conference paper
DOI
10.1007/978-3-030-68017-6_48
Author(s)
Kalugina, Anastasia
Meyer, Thierry  
Date Issued

2021-01-26

Publisher

Springer, Cham

Published in
Proceedings of the 4th International Conference on Intelligent Human Systems Integration (IHSI 2021)
ISBN of the book

978-3-030680-17-6

Total of pages

6

Series title/Series vol.

Advances in Intelligent Systems and Computing; 1322

Start page

323

End page

329

Subjects

Risk assessment

•

Human factors

•

University laboratories

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
GSCP  
SCC  
Event nameEvent placeEvent date
4th International Conference on Intelligent Human Systems Integration (IHSI)

Palermo, Italy

February 22-24, 2021

Available on Infoscience
February 5, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/175131
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