The data set includes data generated by PERCEIVE WP6 (Tasks 6.1, 6.2, 6.3 and 6.4). These tasks refer to simulation, which entails the building and the validation of both a qualitative and quantitative model and of a number of simulation experiments. The nature of the data is mixed. First, the data set includes the strings of codes that are necessary to simulate the mathematical model. Second, the data set includes the numerical parameters necessary to produce specific simulation experiments. Third, the data set makes available the simulation results reported as simulated time series. As for their nature, the data is the outcome of an original modelling effort. The researchers transformed into a mathematical model the knowledge extracted from different sources: data generated by focus groups, data flowing from the survey (PERCEIVE WP1), data extracted from a set of relevant contributions available in the academic and practitioner literature and the workshops in which the simulation model has been tested. Potential users include researchers, students, policy makers as well as others that are interested in using the model to simulate and explore different future scenarios.

PERCEIVE. WP6. Virtual learning environment. Simulation and modelling data / Eirini Aivazidou; Giovanni Cunico; Edoardo Mollona. - ELETTRONICO. - (2019). [10.6092/unibo/amsacta/6203]

PERCEIVE. WP6. Virtual learning environment. Simulation and modelling data

Eirini Aivazidou;Giovanni Cunico;Edoardo Mollona
2019

Abstract

The data set includes data generated by PERCEIVE WP6 (Tasks 6.1, 6.2, 6.3 and 6.4). These tasks refer to simulation, which entails the building and the validation of both a qualitative and quantitative model and of a number of simulation experiments. The nature of the data is mixed. First, the data set includes the strings of codes that are necessary to simulate the mathematical model. Second, the data set includes the numerical parameters necessary to produce specific simulation experiments. Third, the data set makes available the simulation results reported as simulated time series. As for their nature, the data is the outcome of an original modelling effort. The researchers transformed into a mathematical model the knowledge extracted from different sources: data generated by focus groups, data flowing from the survey (PERCEIVE WP1), data extracted from a set of relevant contributions available in the academic and practitioner literature and the workshops in which the simulation model has been tested. Potential users include researchers, students, policy makers as well as others that are interested in using the model to simulate and explore different future scenarios.
2019
PERCEIVE. WP6. Virtual learning environment. Simulation and modelling data / Eirini Aivazidou; Giovanni Cunico; Edoardo Mollona. - ELETTRONICO. - (2019). [10.6092/unibo/amsacta/6203]
Eirini Aivazidou; Giovanni Cunico; Edoardo Mollona
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/695320
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