DRC’s anticipatory action approach is built to proactively address displacement risks by linking data-driven forecasts with timely, targeted interventions. At its core are four key pillars:
- Early Warning & Forecasting: DRC uses machine learning and local knowledge to create context-specific, multi-hazard forecasts. Its four predictive models cover conflict-, climate-, and multi-hazard displacement risks, all ethically reviewed to ensure data protection and responsible use.
- Programmatic Mainstreaming: DRC integrates anticipatory action into its programming through standardized tools, staff expertise at all levels, and participatory design processes. It empowers local communities, engages governments, and even explores diaspora contributions, ensuring anticipatory action efforts are locally owned and contribute towards solutions.
- Anticipatory Finance: DRC is advancing innovative finance solutions for fragile and conflict settings, including pre-agreed funding, insurance mechanisms, and blended financing models that improve efficiency and enable faster anticipatory action across sectors.
- Evidence & Advocacy: DRC is contributing to a global evidence base for anticipatory action, facilitating learning and advocacy through platforms like the Anticipation Hub and REAP. With a focus on displacement and fragile settings, DRC is advocating for policy to embed anticipatory action in humanitarian and development frameworks—driving systemic change from local to global levels.