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Robust Governance During Turbulence. Data from 35 Case Studies on Children's Wellbeing During COVID-19

  • Emma Pullen (Creator)
  • Maud Temmen (Creator)
  • Marlot Kuiper (Creator)
  • Scott Douglas (Creator)
  • Chiara Russo (Contributor)
  • Susana Coroado (Contributor)
  • David Spacek (Contributor)
  • Jacob Torfing (Contributor)
  • Tina Øllgaard Bentzen (Contributor)
  • Peter Triantafillou (Contributor)
  • Eva Sørensen (Contributor)
  • Rasmus Øjvind Nielsen (Contributor)
  • Eva Peeters (Contributor)
  • Áron Hajnal (Contributor)
  • Gábor Tamás Molnár (Contributor)
  • Federico Cuomo (Contributor)
  • Alyssa Marie Kvalvaag (Contributor)
  • Ann-Torill Tørrisplass (Contributor)
  • Berit Irene Vannebo (Contributor)
  • Janne Breimo (Contributor)
  • Christian Lo (Contributor)
  • Lourdes Torres Pradas (Contributor)
  • Vicente José Pina Martínez (Contributor)
  • LARA RIPOLL CAMPO (Contributor)
  • José Javier García Lacalle (Contributor)
  • Jaime Garcia-Rayado (Contributor)

Dataset

Description

This dataset is part of the ROBUST research project and contains data on 35 public value solutions implemented across eighteen multi-layered, networked localities in nine European countries during the COVID-19 crisis. The research project examines how three key governance factors—multi-level governance, hybridity of governance, and societal intelligence—contribute to the development of robust governance. Additionally, the study focuses on a set of actor-centered robustness strategies that can support robust responses to crises. The 35 public value solutions were deliberate, targeted, and enduring cross-sectoral and cross-layer initiatives aimed at protecting and fostering child well-being during the pandemic. The public value solutions cover a wide range of domains, including education, mental well-being, social support, and community engagement. Examples include e-learning support programs, psychological support services, outreach programs for vulnerable groups, and community-driven efforts to enhance social cohesion. For further details on the data collection, please download the systematic presentation of the dataset (.xlsx format).

Bibliografical note

This dataset is licensed under Creative Commons Attribution 4.0 International License (CC BY)
Date made available7 Mar 2025
PublisherZenodo

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