Networks are present in every aspect of life; they describe how things connect and interact, and help us compare a wide variety of systems. Today’s technology allows us to study real world networks. Over the past 40 years there has been a radical shift toward an emphasis on the data-driven science of networks for analyzing, federating and making discovery in large-scale streaming data sets. This movement coincides with an escalation in the complexity of the kinds of biomedical, socio-economic, environmental, and technological problems science has to address, along with the ability to gather and store vast amounts of data. Hence the rise of Network Science as a scientific discipline, and the concurrent urgent need for education pathways to include Network Science. NetSciEd aims to address this need. 


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