World Solve

Despite recognition of its importance, reliable methods for governance frameworks preventing the concentration of power through advanced surveillance technologies 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 affordable diagnostics enabling early detection of the major causes of childhood mortality 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 therapies targeting the biology of multimorbidity rather than single diseases 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 methods for quantifying and reducing the animal welfare impacts of different food production systems 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.

Current approaches to sensing and response systems for detecting engineered pathogens at ports of entry 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.

A persistent gap exists in realizing practical, scalable solutions for prognostic monitoring of aging dams and bridges under climate extremes. 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.

Current approaches to affordable methods for detecting and treating the major causes of vision and hearing impairment 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.

The absence of robust, context-adapted solutions for interventions that reduce the social and economic costs of chronic disease at population scale 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.

The absence of robust, context-adapted solutions for architectural and urban designs that reduce the urban heat island effect under extreme warming 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.

The absence of robust, context-adapted solutions for governance frameworks for managing the risks associated with the release of genetically modified organisms 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.

Achieving decentralized identity resistant to state and AI-generated forgery at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.

A persistent gap exists in realizing practical, scalable solutions for robust methods for measuring and improving subjective well-being at population scale. 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.

Achieving architectural and urban designs that maximize cooling and minimize energy under heat extremes at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.

The absence of robust, context-adapted solutions for biotechnologies enabling plants to thrive under elevated CO2 salinity and heat stress 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 open standards for interoperable climate and biodiversity monitoring data 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 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 designs for energy systems that remain functional during multi-day extreme weather events 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.

The absence of robust, context-adapted solutions for methods for assessing and mitigating the risks of advanced AI systems before deployment 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.

Achieving high-temperature stable thermoelectrics with ZT above 3 at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.