World Solve

Women-led microenterprises in Philippines face disproportionate barriers to opening and maintaining formal savings accounts, limiting their capacity to reinvest and grow their businesses.

Achieving systems ensuring the long-term stewardship and accessibility of scientific knowledge and data 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.

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

Create rapid assessment, habitat protection, captive breeding, community stewardship, and funding models for species discovered in highly localized habitats.

Create affordable tracking, insurance, route planning, secure handoff, and reporting systems for small transport operators facing organized theft.

Develop public budgeting tools that reveal spending, contracts, service outcomes, and tradeoffs in ways ordinary residents can meaningfully use.

Develop valid evaluation approaches that measure original thinking while minimizing bias from coaching, language, resources, and cultural familiarity.

Build risk-based grid maintenance, vegetation management, shutoff policies, and backup systems that prevent sparks without leaving communities vulnerable.

Build fair utility, metering, pricing, and dispute-resolution systems that reduce losses without criminalizing households unable to afford formal connections.

Design safe, legal, affordable electricity systems where overloaded wiring, theft, insecure tenure, and weak utility trust create chronic fire and outage risks.

Develop affordable, maintainable treatment and disposal approaches for persistent fluorinated chemicals in communities unable to operate advanced centralized treatment plants.

Improve forecasting by combining meteorology, vegetation, field observations, and community reporting so control efforts can occur before swarms devastate crops.

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

Create robust low-resource triage systems that recognize early sepsis using inexpensive sensors, clinical workflows, and locally calibrated machine-learning models.

Rural clinics in Kenya lose a significant share of temperature-sensitive vaccines to cold-chain breaks between district depots and final delivery points, driven by unreliable electricity, sparse refrigerated transport, and thin logistics staffing.

Dengue surveillance in Brazil is largely retrospective, relying on confirmed case counts reported weeks after transmission has already accelerated, rather than integrating mosquito density, rainfall, and mobility data into a forward-looking model.

Rivers feeding into coastal waters near Democratic Republic of Congo carry substantial plastic waste from inland cities, and municipal waste management systems lack the capacity to intercept it before it reaches the ocean.

Despite recognition of its importance, reliable methods for seismicity-safe large-scale managed aquifer recharge methods 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 planetary protection detection for forward and backward contamination 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.

Achieving safe reversible regional albedo management aerosols 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.