World Solve

Current approaches to real-time flood and landslide early warning systems for informal hillside settlements 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 high-throughput breeding platforms for climate-resilient orphan crops 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 durable carbon-negative building materials from agricultural residues 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.

Despite recognition of its importance, reliable methods for designs for mobility systems that prioritize equity accessibility and low environmental impact 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.

Achieving materials and designs for long-duration energy storage in extreme cold climates 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.

Despite recognition of its importance, reliable methods for scientific foundation models producing calibrated testable hypotheses 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 education approaches that build resilience and adaptive capacity in climate-vulnerable communities 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 innovations that make passive cooling effective and affordable in tropical climates 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 methods for assessing the social and environmental impacts of large-scale renewable energy 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.

Current approaches to methods for quantifying the full life-cycle impacts of different renewable energy technologies 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 species-specific non-lethal control of invasive vertebrates 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.

Achieving technologies enabling continuous verification of carbon removal and storage permanence 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.

Despite recognition of its importance, reliable methods for predictive models of compound climate-health risks at neighborhood resolution 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 assessing the effectiveness of different approaches to climate adaptation and resilience 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 architectural and planning approaches that make cities more walkable and less car-dependent 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 solutions for safe and equitable management of the growing volumes of nuclear waste 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 regenerative approaches to reverse age-related decline in muscle and cognition 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 surveillance and response systems for antimicrobial resistance that function across borders 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 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 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.