Advancing Resilience Measurement

The document summarizes a consultation held on May 17-18, 2022, involving 50 experts to address gaps in resilience measurement. It establishes principles and 3-to-5-year priorities for four key areas: ensuring evidence is demand-driven and co-produced with communities; integrating psychosocial well-being while accounting for cultural bias; improving the mapping and analysis of complex systems; and leveraging resilience frameworks to better measure climate adaptation and future-oriented capacities.

• Resilience measurement must be demand-driven, requiring the co-production of knowledge with communities and local actors to balance top-down donor needs with bottom-up local needs. This involves integrating indigenous knowledge and creating feedback loops to provide timely evidence.
• There is a critical need to develop a map and typology of resilience evidence users and to create resilience information networks at both global and local scales. Additionally, the report emphasizes reducing time-lags in data analysis to provide real-time evidence for decision-making.
• Psychosocial well-being is identified as a foundational source of resilience and an enabling condition for other outcomes. Measurement must account for Western bias by using qualitative inquiry to ground tools in local culture and adhere to 'do no harm' principles to avoid causing distress to participants.
• Systems resilience measurement faces challenges in defining subjective system boundaries and determinants of resilience, especially when well-being outcomes are difficult to identify. A priority is to develop a shared typology for systems and their determinants to allow for better comparison across studies.
• Resilience measurement can complement climate adaptation measurement by focusing on capacities that protect future well-being, rather than just tracking climate finance or actions. This approach must account for the compound nature of risks and the potential for maladaptation.
• To improve climate adaptation measurement, the report recommends creating a technical working group to define 'adaptation success' and using predictive modeling under various climate scenarios to measure transformational changes and flexibility.

APA

Global Resilience Partnership (n.d.). Advancing Resilience Measurement. https://www.globalresiliencepartnership.org/wp-content/uploads/2022/06/advancing-resilience-measurement-consultation-report-1-1.pdf

Chicago

Global Resilience Partnership. Advancing Resilience Measurement. n.d. https://www.globalresiliencepartnership.org/wp-content/uploads/2022/06/advancing-resilience-measurement-consultation-report-1-1.pdf.

Wikipedia

{{cite report |author=Global Resilience Partnership |title=Advancing Resilience Measurement |url=https://www.globalresiliencepartnership.org/wp-content/uploads/2022/06/advancing-resilience-measurement-consultation-report-1-1.pdf |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{globalresiliencepartnershipndadvancing, author = {{Global Resilience Partnership}}, title = {{Advancing Resilience Measurement}}, institution = {Global Resilience Partnership}, url = {https://www.globalresiliencepartnership.org/wp-content/uploads/2022/06/advancing-resilience-measurement-consultation-report-1-1.pdf}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }