PRISMA
- Year: 2025
The Project
PRISMA (Prioritization and Resource Integration for Smart Management) is a project developed by RE:LAB in collaboration with the University of Modena and Reggio Emilia (UNIMORE), funded under the BI-REX fifth call for proposals for the selection of Technological Innovation Projects within the PNRR – Mission 4 “Education and Research”, Component 2 – Investment 2.3, funded by the European Union – Next Generation EU.
The project aims to develop an innovative application that leverages operational research principles, machine learning, and artificial intelligence to improve operational efficiency in resource allocation. The goal is to overcome the limitations of traditional organizational processes by integrating both operational factors – such as project priority, client strategic relevance, and client tolerance to delays and team changes – and psychological and cognitive factors, in order to maximize compatibility between human resources and the tasks they will perform.
Besides the ability to process a significantly larger amount of information, the application supports human decision-making through an alert system designed to identify and correct decision-making biases.
Objectives of the Project
The PRISMA project aims to revolutionize resource allocation in brain-intensive organizations, ensuring that the process is no longer driven by individual choices and urgency logics, but by an application based on mathematical optimization and artificial intelligence.
Through this approach, it will be possible to optimally balance priority management, ensuring effective distribution of available resources, compliance with project timelines, and strategic client valorization. The objective is to manage the complexity of the operational environment while overcoming the limits of human decision-making, which is characterized by physiological constraints such as cognitive biases.
PRISMA introduces an innovative paradigm based on three fundamental factors: company personnel, clients, and projects to be developed. The system considers the strategic relevance of the client and their tolerance to variability,while keeping track of priority and uncertainty levels for each project. This approach enables management adaptation to the operational context, which is also determined by company personnel characteristics in terms of skills, personality, and inclinations.
RE:LAB’s contribution begins from the early stages with a comprehensive literature review that provides the foundation for defining improvement areas. This will enable the description of the problem to be addressed and the definition of the application’s technical specifications. In collaboration with UNIMORE, the team will proceed to develop the mathematical model, wich will be included in the ai application. The software will then be made accessible to end users through an interface developed by RE:LAB.
Disclaimer: Funded by the European Union – Next Generation EU.
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