Aquaculture farming plays a central role in humanity's challenge to feed the world population given its increasing importance in the seafood sector. Aquaculture farms face risks from a multitude of physical and biological factors including long-term stressors, like climate change or eutrophication. But Aquaculture farms also pose negative impact to local marine ecosystems e.g. by rising the nutrient levels.
Regulations and incentives on the aquaculture sector practices like farm locations for high productivity by minimized environmental impact, seasonal timing of operations and the overall size of the industry are difficult decisions problems for policy makers.
To this extent there is need to assist policymakers and farmers by scientific expertise in a coherent, intuitive and accessible way. But knowledge in modern societies is T-shaped: Expert knowledge is deeply hidden within vertical silos of scientific communities, while on a horizontal layer, public debate and insights are often remarkably self-referential. The effort of connecting sciences under a paradigm of multidisciplinarity and big data might increase this gap. This proof of concept shows how to keep science and public connected by a smart data management frontend for stakeholders.