Big Data in Chemistry

Objective

The advent of the big data era in chemistry and the life sciences requires the development of new computational analysis methods, which are not only of scientific, but also economic relevance. Currently, the international data market already grows six times faster than the entire IT sector, and growth rates further increase. Achieving and sustaining a leadership positions in the big data arena represent critically important challenges for the EU. The economic developments in the emerging big data field are science-driven. Due to complexity and heterogeneity of biochemical and biomedical data, large-scale data exploration and exploitation are intrinsically interdisciplinary tasks. BIGCHEM positions itself at interfaces between chemistry, computer science, and the life science to provide well-structured multidisciplinary training and educate high-in-demand computational specialists capable of operating in interdisciplinary and international research and business settings. Cornerstones of BIGCHEM’s curriculum include on-line lectures and periodic schools taught by internationally leading experts in chemical and life science informatics, a balanced consortium of academia, SMEs, and large industry, and an unprecedented symbiosis of academic and industrial training and application components. Accordingly, BIGCHEM is well positioned to boost multilateral collaborations between academia and industry and train scientists who are highly competitive in the international big data market. In BIGCHEM’s R&D and training activities, the development and evaluation of conceptually novel methods for large-scale data analysis, knowledge extraction, and information sharing with demonstrated practical application potential take center stage. The network has a clearly defined policy for exploitation of new IP through wide involvement of target users, SMEs, and large industry facilitated by the experienced technology transfer department of the coordinator's team.

Field of science

/natural sciences/computer and information sciences/data science/data analysis
/medical and health sciences/basic medicine/medicinal chemistry
/natural sciences/computer and information sciences/artificial intelligence/machine learning/reinforcement learning
/social sciences/other social sciences/social sciences interdisciplinary/sustainable development
/natural sciences/computer and information sciences/databases
/natural sciences/computer and information sciences/data science/big data
/natural sciences/computer and information sciences/artificial intelligence/computational intelligence
/natural sciences/computer and information sciences/artificial intelligence/machine learning/deep learning

Funding Scheme

MSCA-ITN-EID - European Industrial Doctorates

Coordinator

HELMHOLTZ ZENTRUM MUENCHEN DEUTSCHES FORSCHUNGSZENTRUM FUER GESUNDHEIT UND UMWELT GMBH

Address

Ingolstadter Landstrasse 1
85764 Neuherberg
Germany

Activity type

Research Organisations

EU contribution

€ 249 216,48

Objective

Field of science

Programme(s)

Topic(s)

Call for proposal

Funding Scheme

Coordinator

Participants (8)

Partners (8)

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