Boosting Group-Level Synergies by Using a Shared Modeling Framework

Sevinchan, Yunus; Herdeanu, Benjamin; Mack, Harald; Riedel, Lukas; Roth, Kurt

doi:10.1007/978-3-030-50436-6_32

Cited by 2 publications

(4 citation statements)

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“…A conference contribution on how our research group profited from developing Utopia as a collaborative framework for computational models of complex and evolving systems was published in the proceedings of the International Conference on Computational Science (ICCS) 2020 (Sevinchan et al, 2020a). An article presenting the design and features of Utopia in full detail is in preparation (Herdeanu, Mack, Riedel, & Sevinchan, 2020).…”

Section: Related Workmentioning

confidence: 99%

Utopia: A Comprehensive and Collaborative Modeling Framework for Complex and Evolving Systems

Riedel¹,

Herdeanu²,

Mack³

et al. 2020

JOSS

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Utopia is a modeling framework that supports the entire workflow of computational scientists in the field of complex and evolving systems. It is designed to facilitate collaborative research and flexible model development while maintaining high individual freedom in implementation and analysis. Utopia includes a C++ library for model implementations and data writing and a Python frontend for simulation control, data analysis, and plotting. A basic set of models is distributed alongside the framework. Applications of Utopia span a wide range both in terms of the target audience and features relevant in each domain: For researchers, Utopia offers a rich toolkit for model implementation, data analysis, and generation of simulation data-up to and including large-scale simulations on distributed, high-performance computing hardware. In a teaching context, students can focus on the investigation of readily provided models using their own machines, e.g. by performing easily available sensitivity analysis. Furthermore, by developing new library functionality, collaborators can easily share new features and thus enhance Utopia's applicability for all users of the framework. This makes Utopia a valuable tool for both research in and teaching of complex and evolving systems. Utopia is available as Docker image from DockerHub 1 or can be compiled from source. Research of Complex Systems Many physical, environmental, and socio-cultural questions are studied in the field of complex and evolving systems (Holland, 2006; Levin, 2003). These systems feature a hierarchic, selforganized structure with non-linear interactions between their compartments and often exhibit emergent macroscopic properties. We call such systems "evolving" when the dimension and structure of their state space or the nature of their internal interactions can change under varying external forcings, in contrast to systems that merely traverse a static state space volume.

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Section: Related Workmentioning

confidence: 99%

Utopia: A Comprehensive and Collaborative Modeling Framework for Complex and Evolving Systems

Riedel¹,

Herdeanu²,

Mack³

et al. 2020

JOSS

Self Cite

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“…We are grateful to Kurt Roth for feedback on the manuscript and his support during the development of this project. Sevinchan et al, (2020). dantro: a Python package for handling, transforming, and visualizing hierarchically structured data.…”

Section: Acknowledgmentsmentioning

confidence: 99%

“…dantro was developed as part of the Utopia project (Riedel, Herdeanu, Mack, Sevinchan, & Weninger, 2020;Sevinchan et al, 2020), a modeling framework for complex and evolving systems. Within this project, dantro is used for automated, configuration-based data processing and plotting.…”

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confidence: 99%

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dantro: a Python package for handling, transforming, and visualizing hierarchically structured data

Sevinchan¹,

Herdeanu²,

Traub³

2020

JOSS

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Researchers, especially those relying on computer simulations, frequently generate and analyze large amounts of data. With recent increases in computational capacity, the demand to efficiently and reliably process the generated data is growing accordingly. To address these needs, one powerful approach is to streamline the data handling, transformation, and visualization procedures into a data processing pipeline. Akin to the Continuous Integration pipelines widely used in modern software engineering, a data processing pipeline implements an automated sequence of predefined, yet dynamically configurable operations. Ultimately, using such a data processing pipeline can greatly improve the efficiency, reliability, and reproducibility of the scientific workflow.

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Boosting Group-Level Synergies by Using a Shared Modeling Framework

Cited by 2 publications

References 10 publications

Utopia: A Comprehensive and Collaborative Modeling Framework for Complex and Evolving Systems

Utopia: A Comprehensive and Collaborative Modeling Framework for Complex and Evolving Systems

dantro: a Python package for handling, transforming, and visualizing hierarchically structured data

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