Taking Behavioral Science to the next Level: Opportunities for the Use of Ontologies to Enable Artificial Intelligence-Driven Evidence Synthesis and Prediction

Oscar Castro, Jacqueline Mair, Jacqueline Mair, Florian von Wangenheim, Florian von Wangenheim, Tobias Kowatsch, Tobias Kowatsch, Tobias Kowatsch, Tobias Kowatsch

2024

Abstract

Decades of research have created a vast archive of information on human behavior, with relevant new studies being published daily. Despite these advances, knowledge generated by behavioral science – the social and biological sciences concerned with the study of human behavior – is not efficiently translated for those who will apply it to benefit individuals and society. The gap between what is known and the capacity to act on that knowledge continues to widen as current evidence synthesis methods struggle to process a large, ever-growing body of evidence characterized by its complexity and lack of shared terminologies. The purpose of the present position paper is twofold: (i) to highlight the pitfalls of traditional evidence synthesis methods in supporting effective knowledge translation to applied settings, and (ii) to sketch a potential alternative evidence synthesis approach which leverages on the use of ontologies – formal systems for organizing knowledge – to enable a more effective, artificial intelligence-driven accumulation and implementation of knowledge. The paper concludes with future research directions across behavioral, computer, and information sciences to help realize such innovative approach to evidence synthesis, allowing behavioral science to advance at a faster pace.

Paper Citation

in Harvard Style

Castro O., Mair J., von Wangenheim F. and Kowatsch T. (2024). Taking Behavioral Science to the next Level: Opportunities for the Use of Ontologies to Enable Artificial Intelligence-Driven Evidence Synthesis and Prediction. In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF; ISBN 978-989-758-688-0, SciTePress, pages 671-678. DOI: 10.5220/0012437300003657

in Bibtex Style

@conference{healthinf24,
author={Oscar Castro and Jacqueline Mair and Florian von Wangenheim and Tobias Kowatsch},
title={Taking Behavioral Science to the next Level: Opportunities for the Use of Ontologies to Enable Artificial Intelligence-Driven Evidence Synthesis and Prediction},
booktitle={Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF},
year={2024},
pages={671-678},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012437300003657},
isbn={978-989-758-688-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: HEALTHINF
TI - Taking Behavioral Science to the next Level: Opportunities for the Use of Ontologies to Enable Artificial Intelligence-Driven Evidence Synthesis and Prediction
SN - 978-989-758-688-0
AU - Castro O.
AU - Mair J.
AU - von Wangenheim F.
AU - Kowatsch T.
PY - 2024
SP - 671
EP - 678
DO - 10.5220/0012437300003657
PB - SciTePress