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.
Fields of science
- natural sciencescomputer and information sciencesdata sciencedata analysis
- medical and health sciencesbasic medicinemedicinal chemistry
- natural sciencescomputer and information sciencesartificial intelligencemachine learningreinforcement learning
- social sciencesother social sciencessocial sciences interdisciplinarysustainable development
- natural sciencescomputer and information sciencesdatabases
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
Programme(s)
Call for proposal
H2020-MSCA-ITN-2015
See other projects for this call
Funding Scheme
MSCA-ITN-EID - European Industrial DoctoratesCoordinator
85764 Neuherberg
Germany
Participants (8)
53113 Bonn
67081 Strasbourg
55218 Ingelheim
41121 Modena
151 85 Sodertaelje
8092 Zuerich
3012 Bern
44227 Dortmund
Partners (8)
3526 KV Utrecht
02094 Kyiv
90411 Nurnberg
CB4 0EY Cambridge
08003 Barcelona
ST5 2BE Newcastle-under-lyme
80333 Muenchen
80686 Munchen