World Solve

Lunar infrastructure and resource extraction could create new strategic inequalities. The challenge is developing rules that enable science and commercial activity while protecting shared interests and preventing territorial competition. 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.

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.

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.

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.

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.

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.

Transport systems may be increasingly optimized by private algorithms that control routing, pricing, access, and safety. The unresolved problem is ensuring these systems improve mobility for everyone rather than only for users who can pay most. The challenge is especially acute in informal settlements, 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 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.

Political communication will increasingly include deepfakes, voice cloning, and AI-generated persuasion at scale. The challenge is developing election rules, platform standards, and enforcement systems that protect speech while limiting manipulation. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Future governments may depend on private firms for cloud services, AI tools, digital identity, and critical infrastructure software. The unresolved problem is designing procurement rules that preserve interoperability, portability, and long-term public control. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

The technical problem is coupled with a social allocation problem: production varies, meters may be imperfect, and residents need rules they trust. Tariff design, optimization, and transparent settlement tools could make shared generation investable. The opportunity is intentionally human-scale: a cooperative, clinic, workshop, school, or municipal team could pilot it within one locality and measure outcomes before expanding. Mathematical modeling can help with forecast uncertainty, incentives, or resource constraints; entrepreneurship can turn a reliable workflow into a viable service.

Patients waste time visiting multiple shops, while inventory data are private and substitution rules are complex. Privacy-preserving stock signals, route optimization, and pharmacist-led protocols could reduce search costs without creating a dominant intermediary. The opportunity is intentionally human-scale: a cooperative, clinic, workshop, school, or municipal team could pilot it within one locality and measure outcomes before expanding. Mathematical modeling can help with route uncertainty, incentives, or resource constraints; entrepreneurship can turn a reliable workflow into a viable service.

Sector-by-sector rules may miss combined pressures. Integrated cumulative-impact planning platforms could improve governance.

Public procurement and justice systems sometimes fail to sanction wrongdoing. Transparency and civic-monitoring platforms can strengthen accountability.

High housing costs and immigration rules restrict movement to opportunity-rich areas. Mobility-support policies can expand choice.