World Solve

Drought, salinization, erosion, and heat may displace people gradually rather than through one visible disaster. The open problem is creating legal pathways, funding mechanisms, and host-community planning before displacement becomes coercive. 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.

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.

Future cities may experience extreme heat precisely when electricity and water systems are least able to support cooling. The challenge is coordinating urban design, demand management, public health, and energy policy under compound stress. 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.

Public systems using legacy cryptography will eventually face long-term exposure as quantum computers improve. The challenge is coordinating migration across ministries, vendors, archives, and critical infrastructure without breaking public services. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Large quantum computers may require specialized materials, cooling systems, and high-energy facilities. Their lifecycle impact, component reuse, and end-of-life management are not yet adequately designed. 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.

Claims about quantum advantage often depend on narrow benchmarks or idealized assumptions. The challenge is creating reproducible measurements that identify when quantum systems deliver meaningful benefits over classical alternatives. 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 quantum networks will need coexistence with conventional fiber, satellites, and noisy metropolitan infrastructure. A major unresolved problem is developing practical repeaters, interfaces, standards, and operational security for real-world deployment. 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.

Public agencies will buy models, datasets, inference services, and automated workflows from vendors whose systems may not be easy to inspect. The unresolved problem is creating contract standards that make public AI procurement auditable, portable, and lawfully contestable. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Quantum capabilities could transform optimization, chemistry, intelligence, and cryptanalysis while becoming concentrated in a few states. The challenge is preventing destabilizing secrecy and unequal access without blocking peaceful scientific collaboration. 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.

Quantum sensors may detect hidden water, minerals, leaks, tunnels, and structural anomalies, but their cost, calibration, and interpretation remain barriers. The open problem is converting laboratory sensitivity into dependable field services. 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.

Private companies may increasingly run water, transport, energy, communication, and housing systems with public consequences. The open problem is designing regulation that ensures reliability, accountability, and public recourse when essential services fail. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Quantum randomness could improve high-stakes public processes, but its value depends on independently verifiable hardware, transparent protocols, and protection against manipulation at the measurement and software layers. 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.

Post-quantum authentication must work on inexpensive devices, intermittent networks, and systems with limited technical support. A practical solution must avoid forcing vulnerable populations to replace all hardware at once. 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.

Digital commerce, cloud services, and AI platforms can generate value across borders while escaping clear tax authority. The challenge is creating fair tax rules that smaller states can enforce without being excluded from the digital economy. The challenge is especially acute for low-resource administrations, where legacy systems, coordination failures, and weak oversight can magnify harm.

Digital commerce, cloud services, and AI platforms can generate value across borders while escaping clear tax authority. The challenge is creating fair tax rules that smaller states can enforce without being excluded from the digital economy. The challenge is especially acute across fragmented municipalities, where legacy systems, coordination failures, and weak oversight can magnify harm.

Many institutions cannot inventory where vulnerable cryptography is used across old software, embedded devices, archives, and vendor systems. The future challenge is completing secure migration before quantum-capable attackers can exploit long-lived encrypted data. 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.

AI systems trained on globally diverse data may encode incompatible assumptions about fairness, authority, family, privacy, and acceptable risk. The challenge is creating pluralistic evaluation methods that protect universal rights without imposing one culture's values as a universal standard. 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 organizations may use teams of specialized agents that negotiate, delegate, verify, and act across software and physical systems. It remains difficult to guarantee that local objectives, hidden incentives, and communication errors do not produce unsafe collective behavior. 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.

A system can be factually sophisticated yet dangerous when users cannot distinguish knowledge, inference, speculation, and fabrication. The challenge is creating interfaces and evaluation standards that communicate uncertainty in ways people actually understand and use. 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 AI systems may improve software, research workflows, and model-training pipelines faster than institutions can review them. The open problem is designing international oversight that supports beneficial progress while preventing uncontrolled capability escalation. 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.