Network of European Data Scientists (NeEDS)
The Network of European Data Scientists (NeEDS) addresses the need for an integrated modeling and computing environment that facilitates data processing, data analysis and data communication (in the form of visualization and interaction). The main scientific and technological objectives of NeEDS are to develop innovative mathematical optimization models and high performance algorithms
•to ensure interpretability (a requirement when nonexperts are to interact with data analysis tools);
•to extract knowledge from data by jointly addressing data processing and data analysis;
•for novel applications involving complex data such as network, time-evolving, and spatial data.
These scientific and technical objectives will be pursued in the training as PhD students of 15 ESRs, recruited by the nine beneficiaries, eight academic and one industrial, jointly with the fifteen non-academic partners. Therefore, all the individual projects are multidisciplinary in nature and relevant to practice. The ESR training by research will follow a common pattern:
•Each ESR will be enrolled in a PhD program.
•Each ESR will have a supervisory team of two supervisors and one mentor, across at least two EU countries, with complementary research and sectoral profiles.
•Each ESR will have a secondment at the institution of their mentor.
Given the innovative, multidisciplinary, intersectoral and cross-national nature of the training at NeEDS and the placement record of the senior members, the 15 ESRs will find abundant employment opportunities as academics at top universities, as data scientists in leading companies, or as entrepreneurs developing novel applications for new markets. This will breed NeEDS with new cooperations and will position NeEDS at the forefront of excellence, strengthening European innovation capacity in Data Science. Furthermore it will ensure that the ESRs are geographically mobile across Europe, as some of the senior members have proven to be.