At B9F7 Parvis Trust, our educational investments are focused on developing the human capital necessary for the next economic frontier. While much of this focus is on STEM, we believe it is equally critical to invest in the analytical disciplines that will govern, value, and scale the modern digital and creative economies.

In line with this philosophy, we are exceptionally proud to announce a foundational grant of £1.095 million to the Parvis School of Economics and Music. This strategic contribution to the UK-based institution is designated to establish a new interdisciplinary initiative: The Centre for Quantitative Analysis in Creative Economies.

This initiative sits at a unique and critical intersection. The creative industries, including music, media, and digital entertainment, are no longer just “cultural” sectors; they are massive, high-growth economic powerhouses driven by complex data and new consumption models. However, the tools used to value creative assets and forecast market behavior have lagged behind this technological shift.

The core mission of this new Centre will be to bridge this gap. The funds will support the development of a dedicated data science curriculum tailored for economics students, focusing on the specific challenges of the creative sector. This includes advanced AI-driven modeling for intangible asset valuation, predictive analytics for consumer behavior in streaming markets, and the economic modeling of intellectual property rights in a decentralized digital environment.

This is not a traditional arts grant. It is a targeted investment in the “hard science” behind the “soft economy.” The Parvis School of Economics and Music, with its unique dual focus, is the ideal partner to pioneer this work. The initiative will equip the next generation of economists, analysts, and policy leaders with the quantitative skills needed to navigate a world where a significant portion of economic value is intangible, digital, and algorithmically driven.

By supporting this program, B9F7 is investing in the core analytical infrastructure of the future. We are committed to fostering the multi-disciplinary talent that can apply the rigor of data science to the complexities of the creative economy, ensuring its continued growth and stability.