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Cited by 264

The DOI matches its Crossref record; 92 of the 92 references it cites were found in a registry or an index.

Resilience in developing systems: the promise of integrated approaches

Masten, Ann S.·2016·European Journal of Developmental Psychology

Abstract

This article describes a contemporary systems approach to resilience in human development and its promise for integrating findings and applications across system levels. Resilience is defined as the capacity of a system for successful adaptation to disturbances that threaten system function, viability, or development. Advantages of this definition are delineated in regard to integrating sciences and disciplines across scales and levels of interaction in a bioecological systems framework. Central concepts of resilience, including pathways and cascades, are described in light of this approach, and advances that link system levels are highlighted. Given significant progress toward a more dynamic, integrated, multisystem approach, developmental resilience science stands at new frontier of possibilities that promises to inform science, practice, and policy focused on building human capacity for surviving and thriving in times of turbulence and change.

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Crossref · 10.1080/17405629.2016.1147344

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Metadata

Authors
Masten, A. S.
Venue
European Journal of Developmental Psychology
Published
2016-02-10
Volume
13
Issue
3
Pages
297-312
ISSN
  • 1740-5610 (ISSN-L)
  • 1740-5629
OpenAlex
W2259435454
Cited by
264
References
92
FWCI
14.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Resilience in developing systems: the promise of integrated approaches. https://app.cochat.ai/papers/10.1080/17405629.2016.1147344
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Masten, A. S. (2016). Resilience in developing systems: the promise of integrated approaches. European Journal of Developmental Psychology. https://doi.org/10.1080/17405629.2016.1147344

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.