A Novel Framework Design for Hybrid Research Methodologies in Engineering

Session

Civil Engineering, Infrastructure and Environment

Description

Civil engineering projects have specific technical requirements of high importance and requirements related to sustainability. These projects involve multi-level systems where quantitative models and laboratory-physical experiments must generate results with scientific consistency and with the agreement of all stakeholders. Another important and indispensable factor is the protection of the environment. When the third factor, the technological one, is added to these factors, then, for engineering research projects it is assumed that a hybrid methodological framework adapted to civil engineering is needed that systematically and quantitatively integrates engineering science, simulation, field data with the social part covered by qualitative research. The framework promotes reproducibility and transparency, supporting more robust decision-making in the design and complex evaluation of the process and product of construction engineering. This section is supported by an illustrative example in a smallscale civil system that highlights how the integration of qualitative knowledge together with numerical research models improves the accuracy of prediction and joint decision-making in this field. The conceptual model aims to support and advance hybrid practices of academic and engineering research.

Keywords:

hybrid methodology, civil engineering, simulation, digital technology, reproducibility

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-982-41-2

Location

UBT Kampus, Lipjan

Start Date

25-10-2025 9:00 AM

End Date

26-10-2025 6:00 PM

DOI

10.33107/ubt-ic.2025.57

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Oct 25th, 9:00 AM Oct 26th, 6:00 PM

A Novel Framework Design for Hybrid Research Methodologies in Engineering

UBT Kampus, Lipjan

Civil engineering projects have specific technical requirements of high importance and requirements related to sustainability. These projects involve multi-level systems where quantitative models and laboratory-physical experiments must generate results with scientific consistency and with the agreement of all stakeholders. Another important and indispensable factor is the protection of the environment. When the third factor, the technological one, is added to these factors, then, for engineering research projects it is assumed that a hybrid methodological framework adapted to civil engineering is needed that systematically and quantitatively integrates engineering science, simulation, field data with the social part covered by qualitative research. The framework promotes reproducibility and transparency, supporting more robust decision-making in the design and complex evaluation of the process and product of construction engineering. This section is supported by an illustrative example in a smallscale civil system that highlights how the integration of qualitative knowledge together with numerical research models improves the accuracy of prediction and joint decision-making in this field. The conceptual model aims to support and advance hybrid practices of academic and engineering research.