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:
Animal health research provides us with a lot of data. For example, we can quickly determine the complete genetic code of viruses and bacteria. It only gets really interesting when this new data is combined with existing data. Bioinformatics helps us to combine, analyze and interpret these huge amounts of data. Thus, answers can be obtained to biological questions. This allows us to draw conclusions about origins and risks of diseases. This provides new knowledge and applications in animal health, food safety and epidemiology. With this, for example, we can for example quickly determine characteristics and the origin bird flu virus outbreaks, automatically detect lame cows and monitor behaviour of fishers. Read more about our innovative research below.
Food production, food security, food safety and integrity
Food-related public health issues
Biobased and Circular economy
Green cities and planet earth management
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?
The development of embedded systems
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.
Blogs and longreads
- [Longread] Breakthrough in global data exchange on plant breeding
- [Blog] Building with bits and bytes: in search of the core offering of a digital research infrastructure
- [Blog] Open data; no value without Big Data