Digitalization, Big Data and Artificial Intelligence provide numerous opportunities for agri-food production. The battle for data from farmer to consumer has begun! Data-driven agri-food business requires developing new business models. Concurrently, you have to deal with public concerns about privacy and distribution of power while there is also a strong movement to open up the data and algorithms for sake of food transparency. This course gives insight in Big Data challenges and organizational issues concerning new and fair business models for data sharing in agri-food business. The aim of this course is to gain insight into Big Data challenges in agri-food networks. Moreover, related socio-economic and governance challenges are addressed and help you understand how to apply this information in your future practice and business models. This course is designed for professionals working in agri-food supply networks and related (public and private) services with an interest in new business development, ICT, marketing and governance (legal). For instance policy makers, business analysts, information managers, project managers and professionals involved in (current or future) data initiatives