Develop a blueprint for evaluating and deploying autonomous transit in urban settings: technical readiness, safety standards, public acceptance, impact on jobs, and integration with existing infrastructure; include a roadmap for pilots, scale, and governance.
Draft a national strategy for building cloud infrastructure with foreign investment, including data governance rules, cybersecurity standards, and incentives for local R&D; compare models of data localization vs cross-border data flows, and propose a governance framework with metrics.
Propose a long-term national circular economy plan that reduces waste, extends product lifecycles, promotes recycling and material reuse, and incentivizes industry to adopt sustainable design; include governance, metrics, and public engagement.
Design a national strategy for safeguarding oceans within a climate policy framework: governance mechanisms for sustainable fisheries, ballast water management, marine protected areas, and blue carbon, plus cross-border collaboration and monitoring metrics.
Assess how a country can craft and implement an AI competitiveness action plan that aligns with ethical standards, data governance, workforce re-skilling, and international collaboration, while ensuring robust oversight of potential market power and AI-enabled harms. Propose a comparative framework with policy levers across funding, standards, accountability, and cross-border cooperation.
Analyze the lifecycle of building a civilian nuclear facility in a modern state: from licensing and safety oversight to economic viability, public communication strategies, and long-term waste management. Compare how different governance models address community risk, transparency, and international safety standards, and propose a framework for future safe deployment.
Create a pragmatic framework to distinguish genuine productivity gains from hype in AI investments. Define metrics for adoption, integration risk, and ROI, and outline a decision-support approach for policymakers and business leaders to guide strategic investments, deployment timelines, and cross-sector learning.
Draft a layered national innovation strategy that nurtures core capabilities, supports private-sector R&D, and builds an ecosystem for scalable technology leadership. Consider funding models, education and talent pipelines, public-private collaborations, and mechanisms to measure impact while engaging with international partnerships and competition.
Investigate how recurring currency swings affect corporate planning and competitiveness. Compare hedging strategies, pricing decisions, and financial reporting across sectors, and develop a practical playbook for managing currency risk while preserving long-term growth and shareholder value.
Design a comprehensive framework for evolving a conventional capital market into a technology-centric ecosystem. Include listing criteria, liquidity incentives, investor protections, and regulatory safeguards, and analyze how such a design could attract high-growth AI and semiconductor firms while maintaining market stability and fair access for investors.
Analyze the implications of aligning export-control policies for advanced technologies with key trading partners. Evaluate how such alignment could affect domestic industry resilience, supply chain security, and long-term competitiveness, and propose a framework for policy coordination that reduces frictions while protecting national strategic interests.
Assess how AI-driven productivity could shift a country's export profile over time, identifying which sectors are most likely to gain competitive advantage and which may face stagnation. Compare policy levers such as investment incentives, workforce training, R&D subsidies, and export finance, and outline a balanced industrial strategy that enhances long-term resilience while mitigating concentration risk.
