Explore Prompts

Propose a constitutional design or amendment approach that codifies climate adaptation responsibilities across federal, regional, and local authorities, safeguards citizen rights, and outlines enforcement and accountability mechanisms. Evaluate trade-offs, governance structures, and long-term risk management under deep uncertainty.

Develop a comparative policy analysis framework for asylum and refugee policies that emphasizes fairness, due process, integration support, and social cohesion; propose metrics for evaluating outcomes, and outline a multi-stakeholder process for decision-making and community engagement that minimizes conflict and promotes inclusive, rights-respecting policies.

Map how AI-driven automation could transform tasks across major sectors, differentiate between tasks at risk and those enhanced, and develop scenario-based plans for workers, educators, and firms. Propose a blended strategy of retraining, wage protection, social safety nets, and incentives for innovation to manage transitions while safeguarding dignity and opportunity.

Create a comparative framework for evaluating inclusion policies in public cultural venues, focusing on representation, anti-harassment, accessibility, crisis response, and programming diversity. Propose a set of guidelines for decision-makers to preserve cultural heritage while expanding participation for marginalized communities and ensuring safe, welcoming spaces.

Propose a comprehensive, cross-sector framework for supporting victims of hate- or bias-motivated violence, integrating health care, mental health services, legal aid, financial assistance, community solidarity, memorialization, and policy changes to reduce re-traumatization and promote healing. Include indicators of recovery, roles for government and civil society, and examples of successful models that can be adapted to diverse communities.

Examine how political extremism interacts with cultural policy, funding decisions, venue access, and public censorship. Develop a comparative framework to analyze how diverse cultural institutions respond to pressure while safeguarding artistic autonomy, safety, and inclusive access. Propose governance models that protect creative expression, ensure accountability, and foster pluralistic cultural ecosystems.

Develop a multi-stakeholder framework for assessing and mitigating risks from AI-powered consumer technologies, including user autonomy, safety-by-design, transparency, and informed consent. Propose testing standards, monitoring dashboards, incident response processes, and redress mechanisms for harms such as manipulation or addiction.

Compare governance models for surveillance platforms used by public institutions and private companies, focusing on transparency, accountability, consent, and redress. Analyze how to design governance that preserves public safety and privacy, rebuilds trust after controversy, and includes ongoing oversight and sunset clauses.

Design a governance blueprint for workforce data collection and analytics used by policymakers and employers that advances anti-discrimination goals while protecting individual privacy. Address data governance structures, consent and transparency, auditing, accountability, and redress mechanisms for workers affected by analytics-based decisions.

Create a strategic framework for assessing climate risk to urban infrastructure and supply chains under rising heat, drought, and weather volatility. Define risk indicators, stakeholder roles, investment levers, and metrics for resilience. Include methods for prioritizing upgrades, running scenario simulations, and evaluating trade-offs among cost, reliability, and environmental impact.

Assess the design space for wearable protective gear that reduces radiation exposure and environmental hazards for operators in extreme environments. Compare shielding concepts, materials, sensor integration, ergonomics, power needs, and durability. Propose a research roadmap, validation tests, and interoperability standards across organizations and missions.

Develop a comprehensive governance framework for AI-enabled biology that addresses dual-use risk, biosafety, science integrity, international collaboration, and enforcement. Compare existing governance models, propose a risk-tiered oversight approach for research institutions and funding bodies, and outline decision-support tools to help researchers decide when to proceed, pause, or modify experiments.