World Solve

Future governments will need near-real-time visibility into commitments, arrears, off-budget liabilities, and contingent risks. The open problem is building financial transparency systems that ordinary citizens and auditors can actually use. This becomes particularly difficult in informal settlements, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

Thousands of satellites may provide connectivity while increasing collision risk, radio interference, light pollution, and disposal complexity. The challenge is creating enforceable coordination and end-of-life standards across commercial and state operators. 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.

As more government activity moves online, corruption may shift from visible cash handling to invisible data manipulation, access control, and procurement capture. The challenge is detecting abuse in systems that look efficient on the surface. This becomes particularly difficult in informal settlements, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

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.

Public services will increasingly depend on rapidly updated models and decision pipelines. The unresolved problem is keeping these systems lawful, understandable, and corrigible as they evolve faster than formal regulations. This becomes particularly difficult in informal settlements, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

Industrial agriculture, pollution, and habitat loss may eliminate microorganisms with future medical and ecological value before they are studied. The challenge is creating ethical, distributed microbial conservation infrastructure. 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-designed biological molecules may be created faster than their safety, ecological, and clinical properties can be characterized. The open problem is building evaluation pipelines proportionate to capability and deployment risk. The approach must scale before formal institutions, infrastructure, and land-use systems fully catch up with population growth. 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-designed biological molecules may be created faster than their safety, ecological, and clinical properties can be characterized. The open problem is building evaluation pipelines proportionate to capability and deployment risk. Affected communities must have meaningful control over data, revenue, deployment decisions, and the right to refuse harmful applications. 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-designed biological molecules may be created faster than their safety, ecological, and clinical properties can be characterized. The open problem is building evaluation pipelines proportionate to capability and deployment risk. The design must remain functional when standards, trade routes, data access, and diplomatic cooperation are unreliable. 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.

Large-scale fermentation may compete with food, land, and water if it depends on agricultural inputs. Future systems need safe, affordable, low-carbon feedstocks that do not shift environmental burdens to poorer regions. The solution must produce useful coordination and accountability while minimizing collection of sensitive personal and behavioral data. 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.

Large-scale fermentation may compete with food, land, and water if it depends on agricultural inputs. Future systems need safe, affordable, low-carbon feedstocks that do not shift environmental burdens to poorer regions. The design must remain functional when standards, trade routes, data access, and diplomatic cooperation are unreliable. 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.

Large-scale fermentation may compete with food, land, and water if it depends on agricultural inputs. Future systems need safe, affordable, low-carbon feedstocks that do not shift environmental burdens to poorer regions. 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.

Genomic medicine could improve treatment while enabling insurers, employers, states, or platforms to infer sensitive traits. The challenge is ensuring people benefit from precision medicine without losing control over biological information. 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.

Engineered microbes, insects, crops, and gene drives may offer major ecological benefits but could spread beyond intended boundaries. The unresolved problem is developing reversible, monitorable, and internationally governed release frameworks. 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 outbreaks may involve pathogens for which no profitable commercial market exists. A useful solution requires distributed manufacturing, adaptable platforms, pre-negotiated procurement, and equitable access before an outbreak occurs. 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.

Biological design tools are becoming more accessible while oversight remains fragmented across countries and institutions. The challenge is detecting dangerous activity without suppressing legitimate research or creating an intrusive global surveillance system. The solution must produce useful coordination and accountability while minimizing collection of sensitive personal and behavioral data. 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.

Biological design tools are becoming more accessible while oversight remains fragmented across countries and institutions. The challenge is detecting dangerous activity without suppressing legitimate research or creating an intrusive global surveillance system. The design must remain functional when standards, trade routes, data access, and diplomatic cooperation are unreliable. 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.

Biological design tools are becoming more accessible while oversight remains fragmented across countries and institutions. The challenge is detecting dangerous activity without suppressing legitimate research or creating an intrusive global surveillance system. 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.

Warnings often fail because people lack transport, trust, shelter, money, or authority to act. The unresolved problem is linking forecasts to pre-agreed decisions, resources, and responsibilities at local level. 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.