Rationale – Climate disasters represent a significant and growing proportion of the humanitarian burden and are a key factor in increasing poverty and insecurity. A myriad of studies demonstrate that aid delivered in an ex-ante fashion can be effective in mitigating losses of life, assets and livelihoods associated with climate hazards. This inquiry supplements the nascent body of research and empirical evidence base pertaining to the building of anticipatory capacity into large-scale national systems, namely via linking a Forecast-based Financing mechanism to an existing social protection system. Research question – Using the case of flood disasters in Bardiya district, Nepal, the research inquired the following: How can social protection be combined with Forecast-based Financing in order to optimise anticipatory humanitarian relief for climate-related disasters? Sub-questions – Research sub-questions guided the inquiry: (1) To what extent are current social protection beneficiaries exposed to climate-related disasters? (2) What is the specific climate vulnerability of social protection beneficiaries? (3) What are the anticipatory relief needs of climate vulnerable social protection beneficiaries? Methodology – Grounded in empirical research via the conduct of a qualitative single case study, the inquiry adopted a conceptual perspective and an exploratory design. A remote data collection strategy was applied, which included (1) a thorough desk review of key scientific literature and secondary data provided by in-field humanitarian organisations; and (2) semi-structured interviews with key informants. Key findings – The data demonstrated that the exposure of social protection beneficiaries to flood hazards is comparable to the general population. Nevertheless, an elevated climate vulnerability is evident secondary to an increased sensitivity and diminished adaptive capacity. The flood anticipatory relief needs/preferences identified include cash-based assistance, food provisions, evacuation assistance and/or enhanced Early Warning Systems. Conclusion – The research supports the utilisation of the proposed conceptual model for an integrated social protection and Forecast-based Financing mechanism, inclusive of vertical and horizontal expansion, in order to effectively identify the most climate vulnerable groups and to guide the provision of targeted anticipatory actions. The mechanism is optimised when a people-centred approach is utilised, with reference to the idiosyncratic, lifecycle and corresponding intersectional vulnerabilities of the targeted population. These findings will contribute to prospective programming in Nepal; additionally, the extent to which they can be generalised will be informed by future applied efficacy studies and comparative analyses with research from differing contexts.

Practitioners of Forecast-based Action (FbA) argue that a humanitarian response able to utilize forecasts to accurately predict disaster, secure funding, and take action before the onset of a crisis will benefit donors and beneficiaries alike. In search of effective and efficient early-action regimes, a number of major humanitarian actors are developing FbA projects of various designs, predominantly in response to natural disaster and famine. While numerous organizations and institutions have expressed interest in developing FbA mechanisms, the tool has only been applied in a limited capacity to the humanitarian needs generated by armed conflict. This research seeks to understand whether a scalable FbA approach can be developed to stage principled, anticipatory humanitarian action in response to situations in which rigorous evaluations predict the likelihood of imminent armed conflict. The hypothesis is that the application of FbA to armed conflict is possible, but due to the complex political nature of conflict, implementing organizations should try to focus on creating mechanisms managed by humanitarian actors and, in so far as possible, be insulated from outside influence. This research is the first academic work to specifically investigate the application of FbA to armed conflict. Following an extensive review of current FbA mechanisms and conflict early warning practices, this research concludes that a conflict-centered FbA system akin to the automated FbA systems in use today to respond to natural disaster and famine is possible, but that the endeavor presents many practical and conceptual barriers to implementation. In particular, diffuse models such as the Start Fund offer a hopeful glimpse at a type of horizontal, member-driven FbA mechanism that is both highly context-sensitive and relatively insulated from outside influence. Such a design, however, features notable and inherent limitations in its ability to reliably and accurately predict the outbreak of conflict and respond in a manner that minimizes regretful actions.