Environmental sciences have experienced a data deluge with the explosion in the amount of data produced by sensors and models that monitor, measure and forecast the Earth system. This exponential trend in data availability is expected to continue in the future thereby creating many new opportunities, needs and challenges. On the other hand, data science has emerged as a wide multidisciplinary dynamic which addresses challenges associated to large and complex data and encompasses diverse fields in applied mathematics and computer science.
The conference will gather researchers that have an expertise in one of the two areas (data science, environmental data) and some interest for the other. Its main goal is to explore the fruitful interplay between the two areas, and ultimately to help create new connections and collaborations between the scientific communities involved. Another objective is to propose some high level courses and practices at the interaction of these two areas.
The conference will be in two parts:
Diverse themes will be treated:
A special focus will be given to oceanographic data and related problems. Other fields of interest related to environment like meteorology, climate, biogeochemistry, geographic information system, are also welcome.
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