A new publication created as a result of collaborations made at the 2nd International Conference on One Medicine One Science is now available.
The volume and complexity of data available to support disease animal production, and disease prevention and control, has dramatically grown over the last decade. Such rapid increase in the quantity of data has not necessarily resulted in a consequent ability to improve the quality of management and policy decisions applied to health and production (1). Consequently, there is an urgent need for increasing our ability to apply computational tools to mine big agro-ecosystems data through an interdisciplinary team of agricultural, medical and social scientists, in order to improve efficiency of food production systems and provide science-based inputs for management and policy, with the ultimate objective of improving health and well-being of local and global communities.
Read More: Editorial: Big Data – The Language and Future of One Medicine, One Science