World Solve

The problem of mental health not covered by insurance continues to affect hundreds of millions of people and undermines progress on multiple Sustainable Development Goals. Existing responses remain fragmented, under-resourced and poorly adapted to local contexts. A strong solution must operate effectively under severe constraints of skilled personnel, infrastructure, electricity and connectivity. It should define clear measurable outcomes, identify possible unintended harms, and demonstrate how the intervention can be sustained by local institutions long after initial funding ends.

The problem of insurance failing to cover the poor after disasters continues to affect hundreds of millions of people and undermines progress on multiple Sustainable Development Goals. Existing responses remain fragmented, under-resourced and poorly adapted to local contexts. A strong solution must operate effectively under severe constraints of skilled personnel, infrastructure, electricity and connectivity. It should define clear measurable outcomes, identify possible unintended harms, and demonstrate how the intervention can be sustained by local institutions long after initial funding ends.

Automated rental, mortgage, insurance, and zoning systems may reproduce historical exclusion through apparently neutral variables. Cities need transparent testing, appeals, and anti-discrimination safeguards. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

Addressing health insurance failing to cover everyone is critical for achieving the 2030 Agenda. Current efforts fall short in scale, speed and equity, leaving the most vulnerable behind. Any viable solution must function in low-resource settings with limited specialists, transport, laboratory capacity and broadband. Proposals should specify quantifiable biological, social or environmental outcomes, openly discuss potential risks, and present a realistic pathway for long-term maintenance and local ownership beyond short research pilots.

Future progress on human development and planetary health depends on solving crop insurance remaining rare. Conventional approaches have proven insufficient. The required intervention must integrate community knowledge, data and appropriate technology while remaining affordable, privacy-preserving and operable with minimal external support. Strong solutions will articulate measurable impact metrics, risk mitigation strategies, and a plan for sustained operation by local actors after the pilot phase.

insurance remaining unavailable to the poor remains one of the most urgent challenges of our time. Systems currently in place are inadequate for the scale and complexity of the problem. A successful approach must work where resources are scarcest and demonstrate clear, measurable results. It should identify possible harms, respect local agency, and show how the solution can be maintained and expanded by the communities it is meant to serve.

AI, automation, caregiving, health events, and climate disruptions may make stable employment less common. The challenge is designing benefits, credentials, insurance, and taxation systems that follow people across changing forms of work. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

Official documents that continuously revise expected lifespan can shape education, insurance, relationships, and self-perception from birth. The challenge is providing useful health information without embedding deterministic forecasts into legal identity.

Disasters can overwhelm budgets, insurance markets, and borrowing capacity long before adaptation completes. The challenge is designing fiscal rules, reserves, and mutual support systems that keep essential public services functioning. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Many agricultural and infrastructure systems are designed around historical seasons that may no longer exist. A useful solution must help governments revise calendars, reservoirs, insurance, crops, and public budgets under deep uncertainty. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

Fraudulent insurance claims can now include AI-generated images of damage that never occurred, and current claims review processes aren't fully equipped to detect this kind of fabricated evidence. Closing this detection gap remains an unresolved challenge for insurers.

Location-based data used by AI models can sometimes act as a proxy for race or income, indirectly leading to unfair lending or insurance decisions even without explicit discriminatory intent. Fully removing this hidden bias remains an unresolved technical and regulatory challenge.

Insurance companies increasingly use AI to assess claims, but there's limited independent, scalable auditing to ensure these systems aren't unfairly denying or delaying valid claims. Building trustworthy oversight for this remains an unresolved regulatory and technical challenge.

Insurers offering cybersecurity coverage often struggle to accurately assess a company's true risk level, leading to mispriced policies that either overcharge safe companies or undercharge vulnerable ones. Better, more accurate risk assessment tools remain underdeveloped.

Patients face administrative and reimbursement barriers when seeking care abroad. Interoperable health-data and insurance coordination tools can ease mobility.

Informal workers and rural populations often have no access to unemployment insurance or pensions. Digital ID-linked social security schemes can extend coverage at lower administrative cost.

Floods, droughts, and storms repeatedly erase assets for low-income families. Climate-resilient housing and micro-insurance products can help absorb shocks.

Millions of traders, many of them women, move goods informally across borders without access to finance, insurance, or formal logistics, limiting their growth potential. Digital trade facilitation tools and simplified customs regimes tailored to small traders could unlock inclusive growth.

Millions of workers in transport, delivery, and informal retail have no protection against accidents or income shocks. Micro-insurance products linked to daily transactions could extend coverage.

Out-of-pocket medical expenses remain extremely high in countries without universal coverage, forcing families to sell assets during health crises. Affordable micro-health-insurance products could reduce this financial shock.