“The Regulatory Genome Project is creating a comprehensive open access repository of machine-readable data representing the world’s financial regulation. Evolving a de facto standard for the representation of regulatory information in a machine-readable form will enable the interoperability and innovation needed to realise the full potential of digital financial services.”
Dr. Robert Wardrop
Director – Cambridge Center for Alternative Finance
The world faces a once-in-a-generation challenge in managing the transition to a fully digital economy which includes those at risk of being left behind by technological innovation. As digital banking has demonstrated, transactions cannot be digitised faster than their regulatory components. Yet disparities in the development of machine-readable/executable regulation between developed and developing economies is increasing the risk of global inequality.
Technological advances in machine-reading and machine-learning techniques – combined with regulatory expertise and unparalleled research collaborations at the University of Cambridge – offers the opportunity to overcome these issues today.
The Regulatory Genome Project has the capacity to convene a broad and diverse group of stakeholders sharing a common interest in establishing a repository of data serving their collective and individual interests. It can enable regulators across all economies to deliver effectively to their national agendas, which often includes financial inclusion. A common repository can serve the needs of application developers who want the confidence to build applications using data forms effectively endorsed by a large potential market.
Regulated firms around the world have already identified – and are increasingly vocalising – the interoperability challenges they are facing in risk management and regulatory compliance. An open letter from eight global financial industry bodies to the international regulatory standard setting associations in July 2020 expresses this well: “Firms and infrastructure providers typically use their own unique set of representations for transaction events and processes. This is inefficient and expensive…and has the potential to result in data capture errors, disputes, and inconsistent regulatory reporting [and] excessive customisation often provides little benefit and increases complexity. Overcoming these challenges and creating the foundation for digitization and increased automation requires greater standardization.”
Conceived as a public good enabled by a world-leading academic and research institution, the Regulatory Genome Project will help to catalyse this essential transformation for the benefit of nations, firms, and communities.