World Solve

Current approaches to nature-based solutions for landslide and erosion control on steep agricultural lands 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 complete proteins from agricultural lignocellulosic residues 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 early detection systems for novel pathogens that function in low-resource laboratory settings 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 designs for financial systems that support long-term investment in sustainability and resilience. 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 digital public infrastructure that remains secure inclusive and trustworthy 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 systems ensuring the long-term stewardship of carbon dioxide removal projects. 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 education systems building measurable resistance to AI misinformation 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 governance models for ensuring the equitable and responsible use of genetic resources and data. 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.