World Solve

Despite recognition of its importance, reliable methods for evidence frameworks for sequencing post-conflict institutional recovery are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Despite recognition of its importance, reliable methods for technologies for selective removal of persistent organic pollutants from water bodies are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Current approaches to interventions that reduce the burden of infectious diseases through environmental and behavioral action either underperform under variable field conditions or generate externalities that undermine long-term sustainability and equity. Closing the gap requires coordinated advances in science, systems design and enabling institutions.

Despite recognition of its importance, reliable methods for biotechnologies enabling the production of pharmaceuticals and fine chemicals from renewable feedstocks are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Despite recognition of its importance, reliable methods for affordable methods for detecting and treating the major causes of childhood undernutrition are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Despite recognition of its importance, reliable methods for platform technologies for 30-day zoonotic antiviral response are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Despite recognition of its importance, reliable methods for biotechnologies enabling the rapid development of vaccines against unknown future pathogens are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Despite recognition of its importance, reliable methods for governance models for managing the dual-use risks of advanced gene editing and synthetic biology are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Despite recognition of its importance, reliable methods for methods for quantifying and reducing the climate impact of the global food system are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

The absence of robust, context-adapted solutions for governance models for shared management of transboundary aquifers and rivers creates cascading risks across interconnected human and natural systems. Key missing elements include durable performance, low lifetime cost, and governance arrangements capable of sustaining impact beyond pilot stages.

Despite recognition of its importance, reliable methods for materials for efficient atmospheric water generation integrated with existing roofs are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Despite recognition of its importance, reliable methods for governance frameworks for the responsible use of predictive policing and risk assessment tools are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Despite recognition of its importance, reliable methods for designs for energy storage that use only materials available in the Global South at scale are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Despite recognition of its importance, reliable methods for quantum-resistant cryptography practical for constrained critical IoT are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Despite recognition of its importance, reliable methods for biotechnologies for engineering organisms that contribute to the circular economy and waste reduction are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Despite recognition of its importance, reliable methods for materials and designs for buildings that sequester carbon over their full life cycle are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Despite recognition of its importance, reliable methods for ruminant microbiome interventions cutting methane over 50 percent are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

Despite recognition of its importance, reliable methods for institutional designs that improve the accountability of international development and climate finance are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.

A persistent gap exists in realizing practical, scalable solutions for real-time verification systems for nature-based carbon and biodiversity credits. Scientific understanding, engineering readiness and institutional capacity remain insufficient to translate promising concepts into durable impact under real-world constraints of cost, skills and governance.

Despite recognition of its importance, reliable methods for designs for resilient food systems that maintain nutrition under multi-year drought are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.