World Solve

AI systems built in one country are used worldwide, but there's no shared international rulebook governing how they should behave. Without cooperation, regulation ends up fragmented and easy to bypass.

Refugees often end up concentrated in a handful of neighboring countries while the rest of the world debates policy from a distance. A fairer, shared system could ease pressure on frontline nations and improve outcomes for displaced people.

Cement production alone accounts for a huge share of global carbon emissions, yet it remains central to nearly all construction. A low-carbon alternative that's just as strong and cheap would be one of climate policy's biggest wins.

Wealthy nations have historically emitted the most greenhouse gases, but poorer nations often suffer the worst climate damage. Without a fair cost-sharing system, climate justice remains mostly a talking point rather than a policy.

Data gets copied, backed up, and shared across so many servers that a single delete request rarely removes every trace. Real digital privacy requires a technical guarantee that deletion actually means deletion.

Informal waste pickers in Philippines recover a substantial share of recyclable material but operate without legal recognition, safety equipment, or fair pricing from recycling buyers.

Achieving mechanisms ensuring that benefits of advanced AI are widely shared rather than concentrated 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.

Smallholder farmers in Myanmar lose a substantial share of harvested grain to pests, mold, and poor storage before it ever reaches market, largely due to the cost of hermetic storage technology.

A persistent gap exists in realizing practical, scalable solutions for mechanisms for ensuring that the benefits of technological innovation are widely shared. 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.

Organic waste makes up a large share of landfilled municipal waste in Papua New Guinea, generating methane emissions that could be avoided with accessible composting infrastructure.

A large share of rural handpumps and boreholes in Kenya sit broken at any given time because there is no real-time monitoring system to alert maintenance crews before communities revert to unsafe water sources.

Develop shared services, workforce pathways, procurement support, tabletop exercises, and affordable tooling for municipalities responsible for essential services.

Develop enforceable systems that ensure indigenous peoples and local communities share in benefits from commercial use of biological resources and knowledge.

Develop land-use, early-warning, crop protection, compensation, corridor, and livelihood systems that reduce conflict in shared landscapes.

Create shared infrastructure, sanitation, deposit, tracking, and business models that make reuse work across fragmented retailers and delivery systems.

Teach children to navigate privacy, scams, manipulation, harmful content, and online identity when shared phones and limited supervision are common.

A persistent gap exists in realizing practical, scalable solutions for mechanisms for ensuring that the benefits of the bioeconomy are shared with biodiversity-rich countries. 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.

Infectious disease outbreaks near Vietnam's borders are frequently delayed in detection because neighboring health ministries use incompatible reporting systems and lack a shared, real-time data-sharing agreement.

A large share of primary school students in South Africa cannot read a simple sentence by the expected grade level, reflecting gaps in teacher training and curriculum pacing rather than school attendance alone.

Achieving mechanisms ensuring that AI-driven productivity gains translate into broadly shared prosperity 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.