We still lack comprehensive models for asteroid rubble-pile structures.
Loose aggregates behave differently from solid rock in impacts and mining. In situ missions and modeling can guide hazard mitigation and resource use.
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.
Loose aggregates behave differently from solid rock in impacts and mining. In situ missions and modeling can guide hazard mitigation and resource use.
Some mathematical series behave predictably, while others sit in ambiguous territory where convergence is difficult to prove definitively. Fully resolving these cases remains an active area of mathematical research.
Earth's magnetic field protects us from solar radiation, but the dynamo process that generates it deep underground is still only partly understood. This matters for predicting how long that protection will last.
Some sequences and structures appear chaotic without ever settling into repetition, and proving whether repetition is truly avoidable in specific systems remains unresolved. This connects deeply to dynamical systems and number theory.
Despite extensive computation, no proof confirms whether these digits behave truly randomly forever or eventually reveal some hidden structure. This remains an open question bridging number theory and statistics.
Some deterministic functions produce output so irregular it resembles randomness, and a complete classification of exactly which rules produce this behavior remains incomplete. This unresolved boundary connects number theory, chaos theory, and computer science.
Symmetry groups have been classified extensively for finite cases, but infinite symmetry structures present ongoing classification challenges that remain incompletely resolved. This shapes foundational research in both algebra and geometry.
If an artificial system behaves as though it's suffering or happy without any confirmed inner experience, it remains unclear whether this simulated behavior deserves any genuine moral weight. This unresolved question is becoming increasingly relevant as AI systems grow more sophisticated.
People often behave more ethically in some contexts than others, and it's unclear whether this inconsistency reflects a genuine character flaw or simply the natural complexity of human behavior. This unresolved tension complicates how we judge moral character overall.
AI systems built in one country are used worldwide, but there's no shared international rulebook governing how they should behave. Without cooperation, regulation ends up fragmented and easy to bypass.