Data science represents a disruptive innovation that market orientated organisations will use to drive competitive advantage and governmental bodies to set and reach policy targets. The value of Data science lies in the insight that organisation can draw from it, rather than in the information itself. Data science offers huge opportunities. Linking socio-economic and physical data, for example, may generate entirely new insights and market opportunities. However there are also risks, for example those related to regulatory hazards and issues such as ownership and privacy. To secure value from Data science, organisations need a holistic and strategic plan for identifying opportunities and overcoming hurdles and managing risks.
At Wageningen University & Research, Data science is identified as an important field of research, contributing to provide innovations in areas, such as:
Global changes of political, financial or climatic nature, make food production chains vulnerable and are expected to have major impacts on global and local economies. Planet earth as well as metropolitan clusters face problems with respect to their food supply and waste removal, for example, how to produce enough food and keep the local and global system environmentally sustainable?
Other nearby perspectives are the use of embedded systems in our food production and living systems. For example in smart greenhouses, in kitchens and fridges.
Advice for policy ministries and small and large companies
All these parties are aware of the developments in the Data science landscape and do not know yet how to deal with them. Wageningen University & Research helps to develop strategies for implementation and validation. Wageningen University & Research is also instrumental in bringing Data science forward, while supporting the (inter)national Agri&Food economy and policy makers to set and realize their (inter)national agenda’s.