This paper explores the application of the Resilience for Social Systems (R4S) Approach to bolster the resilience of the blue economy, with a specific focus on the department of La Guajira, Colombia. The R4S Approach, developed by GOAL in 2016, aims to guide the implementation of humanitarian and development interventions by analyzing socio-economic systems and their reactions to external shocks and stresses. Through a comprehensive application of the R4S Approach, this study examines its effectiveness in informing interventions within the context of the small-scale sustainable fisheries sector in La Guajira and the Wayuu indigenous population, which depends on this system. By comprehensively mapping the dynamics of the system, including its strengths, weaknesses, and interdependencies, this paper showcases how the R4S Approach can effectively contribute to bolstering resilience and supporting the development of vulnerable communities. By sharing the insights and experiences gained from the case study in La Guajira, this research seeks to contribute to the wider discourse on enhancing the resilience of the blue economy and promoting sustainable socio-economic development for vulnerable populations.

Anticipatory disaster risk reduction (DRR) is an essential human right for the ~1 billion people living in informal settlements who are disproportionately exposed to climate-related hazards due to their high vulnerability. Participatory approaches are recognized as being critical for effective and sustainable disaster prevention, mitigation, and preparation through to response, but research on how to coproduce anticipatory DRR with people living and working in informal settlements is scant. Their exclusion is even more pronounced in challenging contexts, such as those characterized by social-political fragility and violence. As a result, a significant portion of the global population is left behind in best practices tied to global DRR ambitions, with DRR actions working neither with nor for the people most at risk. The signal case of urban informal settlements controlled by territorial gangs in Tegucigalpa, Honduras, illustrates the need for new thinking on how to inclusively mitigate, prepare for, and respond to natural hazard-related disasters. Our research examines the coproduction of early warning systems linked with response capacities for floods and landslides through the case study of the international NGO GOAL's work across the city with a focus on nine urban informal settlements with high levels of territorial gang violence. We explore how GOAL navigated informality and violent conflict to support the early warning and response system as an inclusive social process rather than a technical exercise. We identify four cross-cutting strategies employed by GOAL in support of local vulnerability reduction and capacity building based on a local systems approach. This research breaks new ground in identifying how to bridge the gap between knowledge and action in designing inclusive and sustainable early warning and response systems together with the millions of people around the world affected by the intersection of informality, violence, and disaster risks.

The Sendai Framework for Disaster Risk Reduction (SFDRR) has helped to reduce global disaster risk, but there has been a lack of progress in disaster risk reduction (DRR) for people living in fragile and conflict affected contexts (FCAC). Given the mounting evidence that DRR cannot be implemented through conventional approaches in FCAC, serious efforts must be made to understand how to meet SFDRR's goals. This paper offers a case study of international non-governmental organization GOAL's programming that responds to the protracted crisis in Syria, with a critical discussion on SFDRR and how to adapt humanitarian relief and disaster resilience.

To be useful for operational programs, measures of resilience must not just be valid, but be easy to use and useful. Unfortunately, while resilience measurement techniques have progressed tremendously over the past decade, most progress has been on improving validity rather than utility and ease of use. In this article we present a new tool for measuring community resilience that incorporates issues of utility and ease of use, the Analysis of Resilience of Communities to Disasters (ARC-D) toolkit. The toolkit was developed over the course of ten years by the international humanitarian and development organization GOAL to enable aid organizations to measure community resilience in a way that supports resilience building interventions. It offers an approach to measurement that is cognizant of the resilience policy landscape, including the Sendai Framework, and approaches to data collection and measurement relevant to aid agencies. We first present the core tenants of community resilience measurement before describing the toolkit, which consists of 30 measures, a guidebook, and an online platform. To illustrate its use, we provide a case study of a resilience building program in Tegucigalpa, Honduras. By developing one of the first resilience toolkits focused beyond validity and providing a description of how such an assessment works, this article has implications for resilience researchers and practitioners.