This report assesses digital traceability systems for critical raw materials, evaluating their architecture, feasibility, and impact. It emphasises aligning downstream regulatory demands with upstream producer realities, recommending that traceability should support due diligence and inclusion—particularly for artisanal mining—rather than serving as a standalone compliance burden.

This report provides six policy considerations for financial sector authorities to promote competition and advance financial inclusion. Drawing on eight country case studies, it explains how regulators can use existing mandates, coordinate across sectors, and leverage infrastructure design to address market concentration and support digital financial innovation.

Curating 56 successful fraud protection solutions, this report details strategies across intelligence sharing, telecom security, and biometrics. It highlights how AI-driven oversight and multi-sector collaboration, such as Malaysia's NSRC and UK's reimbursement rules, can reduce losses and restore consumer trust in digital financial ecosystems.

This report analyses sustainable investment trends for 2026, examining physical climate risk, the energy transition, and Asia’s leadership. It addresses the influence of artificial intelligence on power demand and emission targets, alongside structural challenges in the health care and food production sectors, highlighting resilience and adaptation as key priorities.

This report examines the dramatic tenfold increase in solar geoengineering funding between 2020 and 2025. It highlights the dominance of US and UK tech billionaires and government agencies in financing research, raising concerns about transparency, democratic oversight, and the marginalisation of Global South interests in climate policy.

This report analyses supply chain resilience and industrial policy through the lens of economic security. It evaluates market failures in supply chain investment, examines cases of Chinese economic coercion, and assesses Japanese semiconductor subsidies for TSMC and Rapidus, emphasizing the roles of diversification, existing industrial clusters, and international research collaboration.

This research analyses Japan's position in the East Asian electronics supply chain using network science. While Japan remains a vital upstream supplier of components and equipment, its dominance in mainstream semiconductors has declined. Conversely, Japanese firms maintain strong leadership within automotive clusters and unique electronics-automation-utilities ecosystems.

This research examines how automating technology affects white-collar career dynamics and human capital. It identifies a potential 'human-capital trap' where automation reduces entry-level learning. The paper recommends targeted taxes on automation and subsidies for task-frontier expansion to maintain long-term welfare and professional skill development.

This research series provides a comprehensive annual analysis of digital news consumption globally. It tracks audience trends across 48 markets, focusing on trust, platform usage, and the transition to digital formats. This benchmark series informs stakeholders about the evolving information environment and changing news habits across diverse demographics.

This report examines how artificial intelligence is transforming capital markets by shifting the industry from informational scarcity to analytical abundance. It introduces a structural framework involving capability, adoption, substitution, and recomposition, exploring alternative future states and the evolving nature of fiduciary accountability, market stability, and professional expertise.

This research provides international data on firm-level artificial intelligence adoption across the US, UK, Germany, and Australia. While current impacts on employment and productivity are small, senior executives predict a 1.4 per cent productivity boost and a 0.7 per cent reduction in employment over the next three years.

This research investigates AI-managed household portfolios, finding that large language models recommend undiversified portfolios concentrated in high-momentum, large-cap technology stocks. While returns may exceed market benchmarks, they do not provide abnormal returns when adjusted for risk characteristics. Recommendations are primarily driven by media attention rather than investment skill.

Research demonstrates that Large Language Models exhibit purpose-conditioned bias when informed of downstream tasks. Goal-aware prompting leads to in-sample overfitting and inflated performance before knowledge cutoffs. Results indicate that disclosing objectives compromises neutrality, necessitating the separation of measurement and evaluation in AI-assisted workflows to ensure statistical validity.

Global Nature Watch is an AI-powered Earth monitoring platform developed by the World Resources Institute and Google. It provides near-real-time data on land-use changes across various ecosystems to support nature-based risk assessment and environmental reporting.

This report evaluates climate change mitigation and adaptation strategies for data centres using the ClimaTech database. It assesses the effectiveness of decarbonisation across three scopes and analyses resilience measures for flood, storm, heat, and wildfire risks, providing quantitative performance metrics for various technological solutions.

This report examines the intersection of artificial intelligence and sustainability transitions, detailing opportunities and risks across environment, energy, labour, finance, and democracy. It proposes a three-layered governance framework and a phased roadmap for global scientific alignment, interim safety measures, and a binding international framework convention to ensure societal well-being.