World Solve

arts education being cut 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.

Future progress on human development and planetary health depends on solving roads cutting through forests. 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.

female genital cutting continuing 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.

Future progress on human development and planetary health depends on solving trees being cut for buildings. 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.

Future progress on human development and planetary health depends on solving aid being cut for political reasons. 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.

Some future climate interventions may have planetary effects while remaining scientifically and politically contested. The challenge is designing governance for experimentation, consent, liability, and termination before deployment escalates. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Biometric identity can reduce fraud while also excluding people whose fingerprints, faces, or documents do not match. The open problem is creating identity governance that is secure without making access to basic entitlements brittle. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Heatwaves may force governments to decide who gets priority access to cooling centers, electricity, transport, and medical care. The challenge is building allocation rules that are both ethical and operationally enforceable. The challenge is especially acute across fragmented municipalities, where legacy systems, coordination failures, and weak oversight can magnify harm.

Historical records increasingly exist in fragile digital formats that may outlive current software, vendors, and hardware. The unresolved problem is preserving public memory across decades of technological change. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

AI agents may perform tasks once done by contractors, analysts, translators, and assistants. The challenge is creating rules for liability, taxation, attribution, and market fairness when human labor and machine labor overlap. The challenge is especially acute across multiple jurisdictions, where legacy systems, coordination failures, and weak oversight can magnify harm.

AI agents may perform tasks once done by contractors, analysts, translators, and assistants. The challenge is creating rules for liability, taxation, attribution, and market fairness when human labor and machine labor overlap. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Predictive policing can reinforce historical bias even when built from apparently neutral data. The open problem is designing standards that make public safety tools testable, reviewable, and defeasible when they cause harm. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Digital consultation can produce large volumes of participation while still failing to influence decisions. The challenge is creating governance processes where consultation changes outcomes and does not become symbolic theater. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Border systems may increasingly use risk scoring, biometric checks, and predictive screening. The unresolved problem is ensuring security tools do not become opaque instruments of arbitrary exclusion or rights violations. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Future societies may need shared datasets for health, mobility, climate, education, and infrastructure. The challenge is creating commons rules that enable useful access while preventing extraction, surveillance, and inequitable control. The challenge is especially acute for low-resource administrations, where legacy systems, coordination failures, and weak oversight can magnify harm.

Future societies may need shared datasets for health, mobility, climate, education, and infrastructure. The challenge is creating commons rules that enable useful access while preventing extraction, surveillance, and inequitable control. The challenge is especially acute without mass surveillance, where legacy systems, coordination failures, and weak oversight can magnify harm.

Future societies may need shared datasets for health, mobility, climate, education, and infrastructure. The challenge is creating commons rules that enable useful access while preventing extraction, surveillance, and inequitable control. The challenge is especially acute in post-conflict institutions, where legacy systems, coordination failures, and weak oversight can magnify harm.

Future societies may need shared datasets for health, mobility, climate, education, and infrastructure. The challenge is creating commons rules that enable useful access while preventing extraction, surveillance, and inequitable control. The challenge is especially acute across fragmented municipalities, where legacy systems, coordination failures, and weak oversight can magnify harm.

AI can generate convincing but fake expert testimony, reports, and analysis. The open problem is building public systems that preserve trust in real expertise while making fabricated authority easier to detect. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

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.