World Solve

data being collected without consent remains one of the most urgent challenges of our time. Systems currently in place are inadequate for the scale and complexity of the problem. A successful approach must work where resources are scarcest and demonstrate clear, measurable results. It should identify possible harms, respect local agency, and show how the solution can be maintained and expanded by the communities it is meant to serve.

Addressing uncollected garbage piling up in streets 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.

Government databases holding sensitive information, from tax records to health data, have been breached repeatedly, exposing citizens to fraud and identity theft. Stronger, consistent data protection standards remain unevenly applied across agencies.

Volunteer-collected data can expand research at a scale professional scientists alone couldn't achieve, but ensuring its accuracy and consistency remains an unresolved challenge for researchers who want to use it.

Genetic research sometimes uses samples collected from communities, particularly indigenous ones, without full ongoing consent or benefit sharing. What ethical obligations researchers owe these communities afterward remains unsettled.

The leading theory involves a massive collision with early Earth, but several details still don't perfectly match the evidence we've collected from lunar samples. A fuller explanation would clarify Earth's own early history too.