We still do not fully understand thresholds for Antarctic ice-shelf hydrofracture.
Surface meltwater can destabilise shelves in complex ways. Field experiments and high-fidelity models are needed.
World Solve is a public institutional repository for identifying real unresolved problems across science, society, health, governance, economics, and local systems. Each entry is intended to be citable, inspectable, and actionable.
Surface meltwater can destabilise shelves in complex ways. Field experiments and high-fidelity models are needed.
Voluntary guidelines vary, leading to uneven practice. Certification schemes and audit platforms could harmonise standards.
Acoustic disturbance may affect whales, seals, and birds, but data are sparse. Acoustic monitoring networks and impact models can inform regulation.
People currently juggle dozens of separate logins and identity systems, each with different security and privacy standards. A single trusted, privacy-respecting identity system remains unbuilt at global scale.
Data centers powering cloud services and AI models consume enormous and fast-growing amounts of electricity and water for cooling. Making this growth sustainable rather than simply larger remains a critical unsolved engineering challenge.
Researchers keep finding creative ways to bypass safety filters built into AI systems, and defenses often lag behind the newest bypass techniques. This cat-and-mouse dynamic remains unresolved despite constant patching.
The absence of robust, context-adapted solutions for education approaches that build the capacity of local institutions to manage climate risks creates cascading risks across interconnected human and natural systems. Key missing elements include durable performance, low lifetime cost, and governance arrangements capable of sustaining impact beyond pilot stages.
Passwords remain widely used despite being easy to steal or forget, and alternatives like biometrics or hardware keys haven't achieved universal, trusted adoption. A truly seamless and secure replacement remains unbuilt at global scale.
Even advanced AI systems can confidently state things that violate obvious physical logic, like objects falling upward or liquids not filling containers. This gap shows current AI still lacks a genuine model of how the physical world works.
Ransomware groups increasingly target hospitals, schools, and utilities precisely because the disruption pressures victims to pay quickly. Defenses have improved, but attackers are still winning often enough to make this an ongoing crisis.
Qubits are extremely sensitive to their environment and lose their quantum state within fractions of a second, limiting what any quantum computer can currently do. Solving this instability is the main barrier between quantum computing's promise and its practical use.
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.
South American economies grow around 2% per year on average, below global trends, making poverty reduction and fiscal sustainability difficult. Scenario-modelling tools and inclusive industrial-policy platforms can help governments design more resilient growth strategies.
Income, wealth, and access to quality services are highly skewed, limiting social mobility and cohesion across the region. Data-driven social policy design and targeted redistribution mechanisms could help escape the inequality trap.
A large share of workers lack formal contracts, social protection, and stable incomes, undermining productivity and tax bases. Digital formalisation pathways and portable social-benefit platforms can improve inclusion.
Citizens feel democracy is not delivering security or prosperity, driving support for radical solutions and coups. Civic-engagement platforms and institutional-performance dashboards can rebuild trust.
Organised crime, drug trafficking, and gangs erode daily life quality and impose large economic costs on South American societies. Integrated crime-data platforms and evidence-based policing tools could support safer communities.
Agriculture, hydropower, and urban water supplies are increasingly affected by changing rainfall and heat patterns. Climate-risk modelling and adaptation investment platforms can help prioritise responses.
Conservation pledges collide with pressures from agriculture, mining, and organised crime in biodiverse regions. Remote-sensing monitoring tools and community-based conservation finance can support enforcement.
Economic shocks and informality push more city dwellers into precarious living, adding pressure on housing and services. Slum-upgrading and urban social-safety-net platforms could mitigate these trends.