World Solve

cold chain for vaccines failing 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.

The problem of forced labour in supply chains 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.

supply chain transparency remaining missing 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.

Energy, computing, medicine, and infrastructure may depend on minerals with concentrated or fragile supply chains. Research must identify substitutes without trading scarcity for toxicity, low performance, or new ecological damage. 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.

No single model may cause harm when many models, sensors, contractors, and institutions interact. Legal systems need ways to assign responsibility across complex sociotechnical chains. 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.

supply chains breaking during crises 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.

Algorithmically designed foods may optimize cost, taste, shelf life, or emissions while neglecting long-term health and cultural acceptability. The challenge is creating transparent nutritional and ethical evaluation. The problem cannot be solved by one jurisdiction because people, ecosystems, data, supply chains, or risks cross national boundaries. 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.

Urban platforms that reposition based on market indicators create unpredictable geography, disrupt supply chains, and separate communities. The problem is coordinating mobility, infrastructure continuity, and resident rights when the ground itself moves for financial reasons.

Research environments may unintentionally create or amplify resistance traits that escape through waste, personnel, or supply chains. Robust solutions must combine laboratory engineering, surveillance, waste treatment, and international reporting. 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.

Future shocks may affect several producing regions simultaneously, making traditional diversification insufficient. The challenge is combining storage, alternative crops, trade rules, logistics, and social protection without creating waste or market distortion. 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.

Counterfeit electronics, from chargers to batteries, sometimes skip proper safety certification entirely, creating fire and shock risks for unsuspecting consumers. Detecting and stopping these products at scale remains an unresolved supply chain challenge.

Blockchain can record ownership transactions, but it doesn't inherently verify that the underlying digital artwork itself is original or hasn't been duplicated elsewhere. Solving this deeper authenticity verification remains an unresolved technical gap.

Modern software often relies on long chains of interconnected code packages, and a single broken or malicious update deep in that chain can cascade into failures across countless unrelated projects. Making this system more resilient remains an unresolved structural issue.

Companies increasingly build products using AI models developed by others, but there's no consistent, scalable way to verify those models are safe and reliable before integration. This creates hidden risk throughout the growing AI supply chain.

Many blockchain networks still struggle with slow transaction speeds and high fees during periods of heavy use, limiting their practicality for small, everyday purchases. Scaling solutions exist but haven't fully solved this tradeoff yet.

Fake or substandard electronic parts sometimes slip into supply chains for critical equipment, including medical devices and vehicles, and current detection methods are neither fast nor cheap enough to catch every case. This creates hidden safety risks across many industries.

Resistance genes move through soil, water, and food chains, making hospital-focused interventions insufficient. One-Health regulatory frameworks and monitoring tools are required.

Tailored biologics may require complex supply chains. Logistics-optimisation tools and modular manufacturing will be needed.

Supply chains for fuel, food, and equipment depend on limited routes and budgets, constraining long-term research. Optimisation tools and shared logistics platforms could improve resilience.

Modern AI models produce answers without a clear, checkable chain of reasoning, making it hard to know if a correct answer was reached for the right reasons. Verifiable reasoning is essential before AI can be trusted in high-stakes decisions.