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In this paper, the Camp Nou stadium is used as a testbed for City Physiology, a theoretical framework for urban digital twins. With this case study, the modularity and adaptability of the framework, originally intended for city-scale simulations, are tested on a large facility venue. As a proof of concept, several statistical techniques and an agent-based simulation platform are coupled to simulate a crowd in the stadium, and a process of four steps is followed to build the case study. Both the conceptual (interdomain) and technical (domain specific) layers of the digital twin are defined and connected in a nonlinear process so that they represent the complexity of the object to be simulated. &e result obtained is a strategy to build a digital twin from the domain point of view, paving the way for more complex, more ambitious simulators, This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the IoTwins Project (Grant agreement no. 857191). I. Meta was partially funded by the Agencia Estatal de Investigación-Ministerio de Ciencia Innovación (AEI MICINN) and the European Social Fund (ESF) under the FPI program (scholarship no. PRE2019-090239)., Peer Reviewed, Postprint (published version)

The recent great technological advance has led to a broad proliferation of Monitoring Infrastructures, which typically keep track of specific assets along time, ranging from factory machinery, device location, or even people. Gathering this data has become crucial for a wide number of applications, like exploration dashboards or Machine Learning techniques, such as Anomaly Detection. Time-Series Databases, designed to handle these data, grew in popularity, becoming the fastest-growing database type from 2019. In consequence, keeping track and mastering those rapidly evolving technologies became increasingly difficult. This paper introduces the holistic design approach followed for building NagareDB, a Time-Series database built on top of MongoDB—the most popular NoSQL Database, typically discouraged in the Time-Series scenario. The goal of NagareDB is to ease the access to three of the essential resources needed to building time-dependent systems: Hardware, since it is able to work in commodity machines; Software, as it is built on top of an open-source solution; and Expert Personnel, as its foundation database is considered the most popular NoSQL DB, lowering its learning curve. Concretely, NagareDB is able to outperform MongoDB recommended implementation up to 4.7 times, when retrieving data, while also offering a stream-ingestion up to 35% faster than InfluxDB, the most popular Time-Series database. Moreover, by relaxing some requirements, NagareDB is able to reduce the disk space usage up to 40%., This research was partly supported by the H2020 IoTwins project (Distributed Digital Twins for industrial SMEs: a big-data platform) funded by the EU under the call ICT-11-2018-2019, Grant Agreement No 857191, by the Spanish Ministry of Science and Innovation (contract PID2019- 107255GB) and by the Generalitat de Catalunya (contract 2017-SGR-1414)., Peer Reviewed, Postprint (published version)

En el mundo de las ciencias sociales, cada vez es más frecuente el uso de simuladores sociales como método de validación de hipótesis. En el BSC (Barcelona Supercomputing Center), existe un software de simulación social, llamado Pandora, el cual sigue bajo desarrollo. Este proyecto tiene el objetivo de proporcionar una interfaz de usuario para Pandora, que permita diseñar experimentos, ejecutar simulaciones, y visualizar los resultados. En el proyecto, se realizarán las fases de diseño y desarrollo de toda la interfaz, y se explicará el desarrollo del nuevo sistema de visualización para las simulaciones de Pandora. La nueva interfaz puede facilitar el acceso de nuevos investigadores al entorno de Pandora, proporcionando un sistema sencillo para realizar simulaciones ABM y poder visualizarlas de una forma clara y comprensible., In the field of social science, it is becoming more frequent the use of social simulators as a method to verify hypothesis. In the BSC (Barcelona Supercomputing Center), there is a software of social simulation called Pandora, which stills under development. This project, has the objective of provide a user interface to Pandora, which lets the user design its own experiments, execute simulations, and visualize the results. In the project, there will be performed the tasks of design and development of the entire interface, and also there will be an explanation of the development of the new visualization system for Pandora simulations. The new interface can be helpful to new researchers to be introduced into the Pandora's environment, giving them an easy system to perform AMB simulations, and being able to visualize them in a clear and understandable way., En el món de les ciències socials, cada cop es més freqüent l’ús de simuladors socials com a mètode de validació d’hipòtesis. En el BSC (Barcelona Supercomputing Center), existeix un software de simulació social, anomenat Pandora, que segueix sota desenvolupament. Aquest projecte, te com objectiu proporcionar una interfície d’usuari per Pandora, que permeti dissenyar experiments, executar simulacions, i visualitzar els resultats. En el projecte, es realitzaran les fases de disseny i desenvolupament de tota la interfície, i es donarà una explicació del desenvolupament del nou sistema de visualització per les simulacions de Pandora. La nova interfície pot facilitar l’accés de nous investigadors a l’entorn de Pandora, proporcionant un sistema senzill per realitzar simulacions ABM, y poder visualitzar-les d’una forma clara i entenedora

Al món de les ciències socials, cada vegada més, se sent la necessitat de portar a terme grans simulacions de diferents fenòmens socials per trobar solucions a diferents problemes, com poden ser moviments migratoris, comportaments socials massius, transmissió de malalties a causa de la interacció entre individus, etc. Existeixen eines que permeten als professionals de les ciències socials realitzar simulacions d'aquests tipus, però aquestes eines no són prou potents per portar a terme simulacions prou grans per obtenir resultats precisos i realistes. En canvi, existeixen eines molt més potents, però requereixen una sèrie de coneixements tècnics avançats que aquests professionals no tenen i, per tant, no poden utilitzar-les. Aquest projecte té l'objectiu d'eliminar aquesta barrera d'entrada dels professionals d'àmbits no tècnics a eines de simulació més potents i que els permetin obtenir bons resultats per portar a terme les seves investigacions de forma més precisa i realista., In the world of social sciences, more and more, there is the need to carry out large simulations of different social phenomena to find solutions to different problems, such as migratory movements, massive social behaviors, transmission of diseases due to interaction between individuals, etc. There are tools that allow social science professionals to perform such simulations, but these tools are not powerful enough to carry out simulations that are large enough to obtain accurate and realistic results. On the other hand, there are much more powerful tools, but they require a series of advanced technical knowledge that these professionals do not have and, therefore, they can not use them. This project aims to eliminate this barrier of entry of professionals from non-technical areas to more powerful simulation tools and allow them to obtain good results in order to carry out their research more precisely and realistically.