World Solve

Build local value chains for millet, sorghum, cassava, bambara groundnut, and other resilient crops that remain economically disadvantaged against imported staples.

Develop restoration models that reduce emissions and fire risk while providing viable incomes for communities dependent on drained peatland agriculture.

Create cheap, reliable detection and mitigation systems for aflatoxin contamination in maize, groundnuts, and other staples before they enter diets and markets.

Develop economically viable integrated pest-management alternatives for small growers who rely on highly toxic chemicals because safer options are inaccessible or ineffective.

Create traceability systems that can document catch location, species, labor conditions, and gear use for artisanal fishers without requiring expensive onboard technology.

Design affordable storage, logistics, grading, and processing systems that prevent fruit spoilage between small farms and markets without imposing high capital costs.

Develop low-cost ways to map and manage rising soil salinity before farms become economically unviable due to over-irrigation, seawater intrusion, or poor drainage.

Create screening and referral models that use portable imaging, AI validation, and dependable follow-up for people with diabetes outside urban eye-care systems.

Design care models that maintain treatment continuity for migrants, truck drivers, seasonal workers, and displaced people who routinely cross administrative boundaries.

Build transparent testing, traceability, and regulatory methods for identifying heavy metals, steroids, pharmaceuticals, and contaminants in traditional medicine supply chains.

Develop scalable rehabilitation systems that combine community workers, telemedicine, low-cost devices, and culturally appropriate exercises for stroke survivors far from specialists.

Determine how heat, dehydration, pesticide exposure, and labor conditions interact to cause chronic kidney disease, then build practical prevention systems for agricultural and construction workers.

Develop surveillance and affordable safety protocols for dialysis delivered in fragmented private and informal systems, where contamination and equipment reuse may go undocumented.

Create field-deployable chemical verification methods that pharmacies, regulators, and patients can use to distinguish authentic cancer drugs from counterfeit or degraded products.

Achieving early warning systems for social unrest linked to climate and resource stress 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.

Governments and households in disaster-prone regions of India lack pre-arranged financing mechanisms, forcing reliance on slow post-disaster aid appeals rather than rapid, budgeted recovery funds.

Achieving systems ensuring the safety and reliability of AI systems used in critical infrastructure control 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.

Flash floods in Australia frequently strike with too little warning for effective evacuation, because rainfall and river-level monitoring networks remain too sparse to model localized risk accurately.

Despite recognition of its importance, reliable methods for safe and effective methods for large-scale insect protein production and use 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 passive cooling and ventilation systems for informal settlement housing 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.