World Solve

Addressing shared parenting remaining rare is critical for achieving the 2030 Agenda. Current efforts fall short in scale, speed and equity, leaving the most vulnerable behind. Any viable solution must function in low-resource settings with limited specialists, transport, laboratory capacity and broadband. Proposals should specify quantifiable biological, social or environmental outcomes, openly discuss potential risks, and present a realistic pathway for long-term maintenance and local ownership beyond short research pilots.

Future challenges such as AI, climate engineering, cyber conflict, and biotechnology cross borders but may be governed by incompatible national rules. The open problem is creating minimum safety floors without requiring complete political agreement. 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.

The problem of tensions over shared rivers continues to affect hundreds of millions of people and undermines progress on multiple Sustainable Development Goals. Existing responses remain fragmented, under-resourced and poorly adapted to local contexts. A strong solution must operate effectively under severe constraints of skilled personnel, infrastructure, electricity and connectivity. It should define clear measurable outcomes, identify possible unintended harms, and demonstrate how the intervention can be sustained by local institutions long after initial funding ends.

Future fleets of autonomous vessels may survey, extract, monitor, or patrol oceans without continuous human control. The challenge is establishing safety, attribution, environmental limits, and collision rules across maritime 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.

Timepieces that run backward under measured social tension undermine scheduling and legal timekeeping. The problem is addressing psychological load without destabilising shared temporal reference.

Empty residences that pulse with the absent resident’s cardiac rhythm can create surveillance and emotional disturbance for neighbours. The challenge is preventing domestic systems from broadcasting biometric presence data into shared space.

Glazing that displays alternate-reality views of the same location fractures common spatial understanding. The problem is keeping enough consistent visual information for coordination and safety.

Individualised audio environments inside shared lifts can isolate passengers and prevent common situational awareness. The problem is balancing personal comfort with the need for collective auditory cues in confined public spaces.

Clocks that accelerate or slow according to local output targets fracture shared temporal reference. The challenge is maintaining a common civic time base while still allowing local performance incentives.

When the first person to capture an image of a cloud asserts property rights, the atmosphere itself becomes a contested resource. The problem is keeping the sky as a shared commons while still recognising legitimate creative or scientific claims on specific observations.

Texts that alter their conclusions according to the reader’s physiological responses erase shared cultural references. The challenge is allowing adaptive storytelling for personal benefit without destroying the possibility of common, stable narratives.

When dreams are scored, shared, and sold like social content, intimate mental experiences become competitive and commercial. The problem is protecting the private, non-instrumental nature of dreaming while still permitting voluntary creative or therapeutic uses.

Windows that show personalized or algorithmically chosen realities fracture the common visual environment. The problem is preserving enough shared external reference for coordination, safety, and social cohesion while still allowing beneficial personalization.

When collective memory of shared events is rewritten in real time by majority vote or algorithmic consensus, no stable historical baseline remains. The problem is creating durable, independently verifiable archives that coexist with participatory updating without being overwritten.

Future technologies may allow external parties to alter or insert content into shared dream environments while people sleep. The problem is establishing consent, ownership, and integrity boundaries for experiences that occur outside waking awareness. Any solution must define measurable harms, protect privacy without eliminating beneficial dream-sharing uses, and function across different neural interface standards.

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 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.

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.

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.