Artificial intelligence-enhanced web application approach to data management in the WIDER UPTAKE project

Abstract

The paper describes a web application developed for managing and presenting experiment data of the WIDER UPTAKE project funded by Horizon Europe. The project's goal is to promote water-smart and sustainable solutions among stakeholders in multiple countries. The application enhances data management and stakeholder engagement through the use of a third-party large language model. It integrates data from demonstration case studies with real-time sensor measurements and laboratory tests, into a comprehensive cloud-based platform. It facilitates data visualization, regulatory compliance checks, and risk assessments for chemical and microbial hazards. The application significantly aided in the coordination and communication of project findings among stakeholders. Key functionalities include interactive diagrams, risk assessment tools, and automated report generation using artificial intelligence (AI). The AI-generated reports, while maintaining confidentiality of data in most cases, provided clear and informative summaries of data compliance with regulatory standards. The web application extended stakeholder engagement, democratized access to complex data, and supported decision-making processes for implementing sustainable water management solutions. However, the development encountered significant challenges surrounding transparency, fairness, accountability, and privacy, which impedes the refinement and scalability of this approach for broader use. Future research should focus on overcoming these obstacles to ensure a more effective and ethical application.