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Community-Scale Problem-Solving: Reflections on a Decade of Infrastructure Development in the MGI

Published

Author(s)

Benjamin Long, Guillaume Sousa Amaral, Philippe Dessauw, Hamza Bouhanni

Abstract

The purpose of this paper is to reflect upon the Materials Genome Initiative (MGI) and our role as infrastructure developers within it. For context, we begin by considering a number of themes related to MGI activities such as modeling, design, building, scaling, sustainability, advanced capabilities, and performance. We use these ideas to describe a path toward unification of problem-solving activities in MGI. Along the way, we describe how our particular infrastructure, the Configurable Data Curation System (CDCS) and its communities, embody many of these ideas and have also developed the capabilities necessary to move toward scalable unification. Central to the entire paper are the ideas that a) MGI itself, as well as its domains, communities, and infrastructure, are complex systems; and b) that scalability of these complex systems is maximized through robust modeling. These ideas are discussed as a strategy toward community-centered growth, unification, and sustainability in the short, medium, and long-term.
Citation
Integrating Materials and Manufacturing Innovation (IMMI)
Volume
13

Keywords

MGI, CDCS, scalable problem-solving, pattern-languages.

Citation

Long, B. , Sousa Amaral, G. , Dessauw, P. and Bouhanni, H. (2024), Community-Scale Problem-Solving: Reflections on a Decade of Infrastructure Development in the MGI, Integrating Materials and Manufacturing Innovation (IMMI), [online], https://doi.org/10.1007/s40192-024-00364-4, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=957236 (Accessed February 11, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created June 10, 2024, Updated February 4, 2025