An integrative modelling approach to understanding human responses to hydrogen energy technologies

October 14th, 2023

R&D Focus Areas:
Social licence; Communication and engagement; Computational modelling

Lead Organisation:

The University of Queensland


Start date:
January 2023

Completion date:
July 2026

Key contacts:
Lead investigator: Daniel Herr –
Project leader/supervisor: Mitchell Scovell –
Supervisor: Slava Vaisman –

AUD$60,000 – Responsible Innovation Future Science Platform
AUD$118,000 – Hydrogen Energy Systems Future Science Platform

Project total cost:

Project summary description:
Past research has shown that many theories of human behaviour help to explain people’s acceptance of energy technologies. There is, however, currently a lack of research drawing on this research to develop models for predicting future human responses to technological developments.

This project aims to fill this gap by using knowledge from the fields of social and computer sciences to explain and predict likely human responses to future hydrogen technology developments.

The primary objective of the project is to create and test comprehensive models of human behaviour, enhancing our ability to understand and predict human responses to the emerging hydrogen industry. With such knowledge, decision-makers should be able to better anticipate and address potential concerns before problems arise. Beyond its practical problem-solving focus, the project also seeks to advance fundamental knowledge in the realms of social and computer sciences and to promote more conceptual and methodological rigor in the quantitative social science and the machine learning literatures.

The findings will also inform relevant stakeholders (e.g., industry, government, and policymakers) about the important factors that influence hydrogen acceptance and demand, and how to best address factors that may impede the successful development of the industry.

Finally, the findings will help to ensure that hydrogen energy technologies are implemented in a way that aligns with community values and expectations.

Related publications and key links:
Not applicable at this stage.

Higher degree studies supported:
One PhD student is supported by this project.


October 2023