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.
Repository of problems worth solving
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.
Liability for autonomous spacecraft collisions under geopolitical fragmentation
Autonomous spacecraft may make split-second avoidance decisions using imperfect data and proprietary software. The unresolved problem is assigning responsibility, proving fault, and compensating affected parties across jurisdictions. 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.
Liability for autonomous spacecraft collisions for low-income communities
Autonomous spacecraft may make split-second avoidance decisions using imperfect data and proprietary software. The unresolved problem is assigning responsibility, proving fault, and compensating affected parties across jurisdictions. 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.
Space weather protection for global infrastructure with community ownership
Severe solar storms can disrupt satellites, power grids, navigation, aviation, and communication networks. Future resilience requires better forecasting, hardened systems, coordinated shutdown procedures, and affordable protection for developing countries. 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.
Managing orbital congestion from mega-constellations for low-income communities
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.
Controlling antimicrobial resistance in synthetic biology laboratories for low-income communities
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.
Preserving microbial diversity for future medicine for low-income communities
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.
Global standards for AI-designed proteins with community ownership
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.
Global standards for AI-designed proteins under geopolitical fragmentation
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.
Biomanufacturing using non-food feedstocks without mass surveillance
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.
Biomanufacturing using non-food feedstocks for low-income communities
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.
Personalized medicine without genetic discrimination for low-income communities
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.
Safe environmental release of engineered organisms for low-income communities
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.
Rapid vaccine manufacturing for pathogens with no existing market for low-income communities
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.
Global monitoring of synthetic biology risk for low-income communities
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.