The First Street Research Library provides transparent, peer-reviewed reports and climate risk data focused on flooding, fire, and heat. It helps finance professionals quantify physical risks and their economic impacts.

Developed by the Climate Policy Initiative, this dashboard provides interactive visualisations of the global financial requirements for climate mitigation and adaptation, helping finance professionals quantify the investment gap.

A high-resolution geospatial monitoring system from Land & Carbon Lab and WRI that tracks global greenhouse gas emissions and removals across agriculture, forests, and soils to support corporate accounting and climate-smart land management.

This report examines how diverse capital providers collaborate to achieve systems change. It identifies catalytic capital as a pivotal tool for de-risking investments and mobilising private funds. Key findings highlight the necessity of trust, long-term partnerships, and shared metrics to overcome structural barriers and address the $4 trillion SDG financing gap.

This 2026 report establishes a strategic framework for climate resilience in arid regions. It examines technological solutions in water, agriculture, and energy, highlighting Israel's innovation ecosystem and Azerbaijan's renewable energy transition. The document advocates for integrated systems, cross-border cooperation, and robust governance to combat global desertification and land degradation.

This advocacy document calls for targeted investment in the One Health Joint Plan of Action. The Quadripartite collaboration proposes a Joint Offer to support at least ten countries over five years, strengthening governance, multisectoral coordination, and sustainable financing to prevent and control global health risks effectively.

This research examines the financial case for investing in One Health to mitigate global health threats. It highlights how integrated approaches reduce costs and improve efficiencies. Through various global case studies, the report demonstrates significant economic returns and provides a strategic blueprint for future sustainable investment.

This research introduces a framework for decarbonising sovereign bond portfolios using 'carbon returns'—treating emissions as random variables rather than deterministic values. By applying a modified Hierarchical Risk Parity algorithm with Expected Shortfall, it effectively balances financial and environmental goals, mitigating climate-related tail risks both in-sample and out-of-sample.

The Energy Transition Index is a benchmark series providing a structured, data-driven framework to assess national energy systems and track transition progress across 120 countries. It evaluates performance through security, equity, and sustainability lenses, alongside transition readiness factors, helping decision-makers identify gaps and understand the conditions required for resilience.

This research argues that hiring managers biased towards poorly-measured goals, such as social impact, is often optimal. This selection allows organisations to implement high-powered financial incentives for well-measured tasks without neglecting non-financial objectives. The study highlights how managerial selection and incentive design function as complementary governance tools.

The Carbon Impacts Tracer is a scientific tool that links CO2 emissions from specific fossil fuel projects and companies to global warming impacts. It enables users to quantify climate consequences such as heat stress, crop loss, and coral degradation.

Adaptbase Search is an AI-powered knowledge base that structures climate adaptation data from global city plans. It allows finance professionals to track urban resilience investments, benchmark city responses to climate hazards, and verify adaptation claims through a standardised knowledge graph of actions and outcomes.

This 2014 DFID toolkit by Watkiss, Hunt and Savage guides advisers in designing value-for-money climate adaptation programmes. Using iterative frameworks, it sequences no- and low-regret options across six steps: risk identification, theory of change, option selection, prioritisation, programme design and economic appraisal, with Ethiopian case studies.

This report assesses the capacity of artificial intelligence and robots to automate ageing workforces across 135 economies. While automation could offset demographic pressures, its effectiveness is limited because ageing often occurs in sectors with low automation potential, such as health and agriculture, particularly in several fast-ageing advanced economies.

This research analyses AI provider liability for dual-use models enabling both cyberattacks and defence. It demonstrates that while liability can improve welfare by reducing contest resources through higher prices, it may increase harm by weakening precautions. Market competition and guardrail incentives significantly influence optimal liability shares.

This research documents that non-green innovation is procyclical, while green innovation is countercyclical. This divergence is driven by green technologies' backloaded profit structures and the reduced cost of skilled R&D labour during downturns. The study highlights that innovation subsidies are significantly more effective when implemented during economic contractions.