Working group

RDA EU – ENVRI Summer School on Data Management and Data Science

Data Science is a new methodology to better understand the complexity of environmental, living and societal systems and to exploit the huge amount of data being generated for scientific and business interests. Professional Data Science requires a deep understanding in techniques for efficient Data Management. It is not surprising that scientific labs and also industry are desperately looking for well-trained Data Scientists (DS) and Data Managers (DM). Yet there is no clear distinction in the job profiles and it makes sense to be trained in both sides of the same coin.

PlankBioS: Present and future plankton biogeography and the link between community structure, marine ecosystem functioning and ecosystem service provision


“PlankBioS” will bring together modelers with experimentalists and theoretical ecologists, in order to maximize synergies between the partners in their quest to address the following key issues in modern plankton research:

1)   What drives plankton/trait biogeography and diversity?

2)   What links ecosystem composition and ecosystem function?

Forecasting and responding to ecological, social and economic impacts of environmental effects on European species


To predict future changes in species distributions, novel combinations of modelling, field and laboratory data are required to produce forecasts at spatio-temporal scales relevant to individual organisms, but across large spatial scales required for predicting biogeographic shifts and vulnerability hotspots. This technology is not currently openly available to researchers within the EuroMarine Network or wider European marine research community.