Offered through a partnership between the Institute for the Cooperative Digital Economy and NCBA CLUSA, this introductory business course will provide a no-nonsense overview of how to succeed in the rapidly changing cooperative agricultural sector. In addition to exploring new technologies and digital platforms, the course will also cover data collection, data analysis and data use for forecasting in the cooperative agricultural sector, providing valuable insights and tools for farmers looking to transform the way they grow and distribute food.
Join us for ‘Seeding Tomorrow: Generative AI, Farming Data and the Commons’ for a 90-minute exploration into how artificial intelligence (AI), data, finance, and small-scale farming practices intersect to foster sustainability, and create innovative financial strategies to broaden access to resources and markets for small-scale farmers.
Centered on “farmer-centric data governance,” this mini-course explores the potential of agricultural data as a collective resource, aiming to distribute the benefits of digitalization equitably among farmers. Through detailed case studies, we aim to ignite conversations on innovative solutions for farming communities, tackling the challenges posed by the dominance of digital agriculture providers, exploring the mechanics of forming and operating data cooperatives, and examining their impact on improving farmers’ economic resilience.