GAna: Model Generators and Data Analysts for Streamlined Processing

Stephanie C. Fendrich, Philipp Flügger, Annegret Janzso, David Kaub, Stefan Klein, Anna Kravets, Patrick Mertes, Nhat Tran, Jan Ole Berndt, Ingo J. Timm, Ingo J. Timm

2025

Abstract

In the evolving landscape of Explainable AI, reliable and transparent data processing is essential to ensure trustworthiness in model development. While agent-based modeling and simulation are used to provide insights into complex systems, this becomes vital when applying results to decision-making processes. This paper presents the GAna workflow — an approach that integrates model generation and data analysis to streamline the workflow from data preprocessing to result interpretation. By automating data handling and facilitating the reuse of processed and generated data, the GAna workflow significantly reduces the manual effort and computational expense typically associated with creating synthetic populations and other data-intensive tasks. We demonstrate the effectiveness of the workflow through two distinct case studies, highlighting its potential to enhance transparency in AI applications.

Paper Citation

in Harvard Style

Fendrich S., Flügger P., Janzso A., Kaub D., Klein S., Kravets A., Mertes P., Tran N., Berndt J. and Timm I. (2025). GAna: Model Generators and Data Analysts for Streamlined Processing. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 608-618. DOI: 10.5220/0013165600003890

in Bibtex Style

@conference{icaart25,
author={Stephanie Fendrich and Philipp Flügger and Annegret Janzso and David Kaub and Stefan Klein and Anna Kravets and Patrick Mertes and Nhat Tran and Jan Berndt and Ingo Timm},
title={GAna: Model Generators and Data Analysts for Streamlined Processing},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={608-618},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013165600003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - GAna: Model Generators and Data Analysts for Streamlined Processing
SN - 978-989-758-737-5
AU - Fendrich S.
AU - Flügger P.
AU - Janzso A.
AU - Kaub D.
AU - Klein S.
AU - Kravets A.
AU - Mertes P.
AU - Tran N.
AU - Berndt J.
AU - Timm I.
PY - 2025
SP - 608
EP - 618
DO - 10.5220/0013165600003890
PB - SciTePress