Convened by EAT Foundation
The Data Systems Catalyst Group aims to provide financial decision-makers in the public, private, and multilateral sectors with new tools to assess the landscape of risk and opportunity (wider, long-term value-creation potential) inherent in resilience-building practices, emerging business models, and standardize the practice of “good food finance”.
The Data Systems Catalyst Group
Brings together experts, practitioners and GFFN members to identify relevant technological and methodological connections, to make that intelligent interaction possible.
The Data Systems Catalyst Group is working towards solutions including:
- Development of integrated, multisystem, multiscale performance metrics, tracing financial return, food security, human health impacts, and system-level resilience, to provide an overall assessment of wider value creation;
- Survey of existing data systems, including their technological, physical and digital constraints and limitations, and which underlying technologies are in use to make each of these work;
- Practical strategies for integrating multiple non-financial data systems into financial data, based on work under areas 1 and 2;
- Evolutionary integration models—which digital, neural networking or AI approaches, make it possible to build multisystem, multiscale data platforms that not only integrate operationally distinct kinds of information, but produce accurate outputs and can evolve over time, as more is known about the meaning of specific multisystem insights;
- Identifying exemplary and theoretical/emerging business models that will exist specifically because this kind of data integration becomes possible.