- Scientific Measurement and Uncertainty Evaluation
- Sensor Technology and Measurement Systems
- Philosophy and History of Science
- Management, Economics, and Public Policy
- Advanced Measurement and Metrology Techniques
- Advanced Sensor Technologies Research
- Plant Physiology and Cultivation Studies
- Advanced Statistical Process Monitoring
- scientometrics and bibliometrics research
- Diverse academic and cultural studies
- Multi-Criteria Decision Making
- E-Learning and Knowledge Management
- Radioactive Decay and Measurement Techniques
- Complex Systems and Decision Making
- Data Visualization and Analytics
- Cognitive Science and Education Research
- Computability, Logic, AI Algorithms
- Quality and Safety in Healthcare
- Big Data and Business Intelligence
- Semantic Web and Ontologies
- Cognitive Science and Mapping
- Manufacturing Process and Optimization
- Explainable Artificial Intelligence (XAI)
- Intellectual Capital and Performance Analysis
- Software Engineering Research
University Carlo Cattaneo
2016-2025
Azienda Sanitaria Locale Roma 3
2020
Electrotechnical Institute
2019
Instituto de Filosofía
2018
University of Perugia
2008
Centre d'Excellence en Technologies de l'Information et de la Communication
2004
National Research Council
1991
Measurements are more and required in an increasing variety of human activities to acquire reliable information useful for effectively supporting decision-making processes. Furthermore, the entities whose properties be measured measuring systems becoming increasingly complex, hardly modeled managed. In this rapidly evolving scenario, several issues concerning fundamentals measurement science technology arise. The purpose paper is discuss some aspects crucial question about which evaluation...
Against the tradition, which has considered measurement able to produce pure data on physical systems, unavoidable role played by modeling activity in is increasingly acknowledged, particularly with respect evaluation of uncertainty. This paper characterizes as a knowledge-based process and proposes framework understand function models systematically analyze their influence production results interpretation. To this aim, general model sketched, gives context highlight unavoidable, although...
This paper presents an epidemiological extension of the El Farol Bar problem, where both a social and dimension are present. In model, individual agents making binary decisions-to visit bar or stay home-amidst non-fatal epidemic. The classic dilemma is implemented as agent-based it later explored by sampling parameter space observing resulting behavior. results this analysis suggest that infection could be contained increasing information available in underlying system adjusting its structure.
The concept system around 'quantity' and 'quantity value' is fundamental for measurement science, but some very basic issues are still open on such concepts their relation. This paper argues that quantity values in fact individual quantities, a complementarity exists between measurands values. proposal grounded the analysis of three 'equality' relations: (i) (ii) (iii) quantities A consistent characterization obtained, which then generalized to 'property' 'property value'. also throws light...
A conceptual framework is proposed in which measurement development envisioned as a three-level hierarchically structured process constituted of stages, each one composed activities performed through multiple tasks. The underlying assumptions are that the designed-on-purpose and resources it requires should be justified on pragmatic basis. usefulness methodology then illustrated by applying to an exemplary input-output transfer characteristic analog-to-digital converter case research quality...
In recent years, data sets are steadily growing in size because of the huge sensing, storage, computation, and transmission capabilities offered at very low cost by current Information Technology systems, which increasingly driving ubiquitous acquisition from empirical world. Moreover, massive amounts can be collected efficiently- sometimes zero marginal costs internet. The concept Big Data (BD) epitomizes this phenomenon among experts general public (for an accessible, application-oriented...
Is there a framework common to measurement in both physical and social sciences? The answer this question would determine an important extent the possibility of building shared measurement-related body knowledge across these traditionally separate domains. In paper, we outline processes involved construction use measures that includes instrument design, calibration, ultimately using instrument. A comparison steps two domains reveals (a) formal parallelism, (b) differences way calibration is...
This article introduces a general-purpose framework aimed at capturing the elusive concept of quality measurement information (MI), critical issue for both researchers and practitioners when dealing with MI-enabled decision-making. The is blueprint definition, assessment, communication, improvement MI quality, as analyzed through set general criteria, classified according to syntactic, semantic, pragmatic layers semiotics, suggested in ISO 8000-8:2015 technical standard. top-down analysis,...