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The FIR-PRI Awards celebrate the top papers in sustainable finance research each year. Trusted by over 30 leading universities, Iceberg Data Lab powers rigorous academic research, and this year is a proud sponsor of the 2026 edition of the awards.

We’re pleased to announce our collaboration with Amundi Technology to enrich ALTO Sustainability.

Internal carbon pricing enables companies to assign a monetary value to emissions, embedding climate risk into strategic and financial decision-making. With over 1,700 companies already using these mechanisms and thousands more planning adoption, internal pricing is proving effective in reducing emissions, improving efficiency, and preparing for future regulation. Iceberg Data Lab’s ESG data solutions provide the robust emissions measurement and analytics needed to implement credible carbon pricing, align with net-zero strategies, and support informed, low-carbon investment decisions.

AI’s rapid growth presents both environmental challenges and climate opportunities. While large AI models consume substantial energy and water—contributing to carbon emissions and resource strain—intelligent applications can optimize renewable energy, improve industrial efficiency, and reduce transportation emissions. Iceberg Data Lab’s ESG analytics help organisations measure AI’s environmental footprint, enabling data-driven strategies that balance innovation with sustainability and regulatory compliance.

Biodiversity—the variety of life from genes to ecosystems—is a critical ESG factor shaping investment and corporate risk management. Rapid wildlife decline and ecosystem degradation pose systemic financial risks, affecting sectors from agriculture to pharmaceuticals. Iceberg Data Lab provides advanced biodiversity data solutions that quantify these risks, enabling investors and companies to integrate environmental dependencies into decision-making, monitor ecosystem health, and align with global sustainability targets. From genetic diversity to ecosystem-level impacts, robust data and analytics empower proactive portfolio management, regulatory compliance, and opportunities in conservation finance and nature-positive investments.

CBF software provides advanced solutions for scientific research, industrial automation, and autonomous systems, enabling precise data management, safety-critical controls, and operational optimisation. From crystallographic data handling to control barrier functions, CBF applications enhance accuracy, efficiency, and reliability across complex workflows. With modular architecture and integration capabilities, CBF software supports scalable business operations, supply chain automation, and Industry 4.0 adoption, while robust governance and AI-enabled analytics ensure secure, high-performance implementation for mission-critical environments.

Corporate sustainability has shifted from a peripheral concern to a strategic imperative that drives long-term value, resilience, and stakeholder trust. Modern organisations integrate environmental, social, and governance (ESG) considerations into core operations, guided by materiality assessments and science-based targets, while embedding sustainability metrics into governance and executive oversight. Technology plays a pivotal role, with AI, machine learning, IoT, and blockchain enabling precise monitoring of energy, water, waste, and supply chain performance, supporting real-time ESG reporting and optimisation. Sustainability initiatives deliver tangible financial benefits through cost reductions, operational efficiency, and resource optimisation, while also enhancing market positioning by meeting consumer demand for responsible products and enabling access to green finance. Transparent stakeholder engagement and adherence to reporting standards like GRI and ISSB strengthen credibility and ensure accountability. By aligning corporate strategy with social and environmental impact, companies create shared value, mitigate risks, and achieve sustainable growth in an interconnected global economy.

The maritime industry, responsible for roughly 3% of global greenhouse gas emissions, faces urgent pressure to achieve maritime decarbonisation, with targets of 20% reduction by 2030 and 70% by 2040. Transitioning from fossil fuels, which power 98.8% of vessels, requires advanced ESG data analytics to guide fuel selection, technology adoption, and regulatory compliance. Alternative fuels such as green hydrogen and ammonia offer long-term zero-carbon potential, while LNG and biofuels serve as transitional solutions. Efficiency technologies, including wind-assisted propulsion and advanced hull designs, further reduce fuel consumption. Regulatory frameworks like IMO targets, the EU Emissions Trading System, and FuelEU Maritime mandate emissions tracking and well-to-wake lifecycle assessments, necessitating sophisticated data management systems. Annual investments of $8–90 billion will support this transformation, with data-driven insights enabling shipping companies, investors, and cargo owners to make informed decisions on fuels, technology, and operational strategies, ensuring decarbonisation aligns with both environmental and commercial objectives.

Understanding the difference between carbon neutral and net zero approaches is essential for organizations pursuing credible climate action. Carbon neutrality balances emissions through offsets, primarily covering Scope 1 and 2 emissions, and allows companies to maintain current emission levels while compensating via carbon credits. In contrast, net zero requires a 90%+ reduction across all greenhouse gases, including Scope 3 value chain emissions, before using offsets, demanding fundamental operational transformation and long-term decarbonization. Implementing either framework relies on robust ESG data systems: carbon neutrality needs accurate emissions tracking and offset verification, while net zero requires comprehensive analytics, science-based target setting, and supply chain monitoring. Market trends increasingly favor net zero due to regulatory pressures, investor expectations, and scrutiny over offset quality, making advanced data-driven measurement and verification critical for organizations to demonstrate authentic environmental impact and strategic climate leadership.

The EU Social Taxonomy provides a standardized framework for identifying socially sustainable economic activities across Europe, complementing environmental sustainability initiatives. It focuses on three core social objectives: decent work for workers and value-chain participants, adequate living standards for end-users, and inclusive, resilient communities. Built on globally recognized human rights and labor standards, the taxonomy enables investors and financial institutions to direct capital toward activities that create meaningful social impact while ensuring regulatory compliance and financial performance. By integrating these criteria into investment and corporate decision-making, the EU Social Taxonomy supports transparent social sustainability assessment, reduces risks of social washing, and fosters improved social outcomes across stakeholders, including employees, consumers, and communities.