While qualitative risk assessment provides preliminary information about the situation in the laboratory and processes, incredibly risky and novel processes need to be analyzed in detail. The majority of quantitative methods are very resource consuming and require statistical information.

University chemical laboratories are in, contrary to common perception, is quite a dangerous working environment. Contrary toUnlike industry, where most of the processes are standardized, in Academiaacademia, they are changed and modified so frequently that in-depth and detailed risk assessment becomes unfeasible. Apart from that, specific work features in a research environment make strict control of safety behavior almost impossible. On the contrary, such can result in safety reluctance, which is typical for the research environment.

The other problem is the absence of statistical data, as there is a lack of reporting and high diversity of the processes, making such assessment reliableunreliable. Using a semi-quantitative method, which combines both easily accessible interval and ordinal data with adapted nominal data, can help in such a situation.

Strong human involvement in all the hazardous activities requires the inclusion of human factors in the risk assessment. Consideration of this aspect is essential by the decision-makers, as the efficiency of risk-mitigating options will vastly depend on accepting these solutions.

Although human factors are essential, risk assessment cannot be limited only to that. A combination of the human-oriented assessment with the hazard-based risk analysis will provide more detailed and relevant information.

This paper aims to present a model for the process-based risk assessment in Academiaacademia, which will adequately work for all types of laboratories in Academiaacademia. This method aims to provide more detailed information than the one obtained from the audit. On the other hand, it is more time-efficient than FMECA. We base our approach on human and machine reliability analysis in the selected process frame to achieve this.