Nommon Solutions and Technologies

Nommon is a research-intensive technology company that provides decision support tools and consulting services for organisational intelligence and policy assessment. For this purpose, Nommon integrates supporting databases with analytical and simulation models that make use of a variety of mathematical tools, from data mining or operations research, to the most recent and innovative methods from complex systems science. Nommon is particularly active in the field of transport research. Our research agenda encompasses three main threads: (i) big data processing and spatio-temporal data analysis; (ii) complex systems modelling and data-driven simulation; and (iii) information visualisation and visual analytics.

 

 

Institute for Cross-Disciplinary Physics and Complex Systems

 

The Institute for Cross-Disciplinary Physics and Complex Systems (IFISC) is a joint research unit between the University of the Balearic Islands (UIB) and the Spanish National Research Council (CSIC). The IFISC is the only Spanish institute specifically devoted to research in complex systems and plays a European leading role in the field. The backbone of IFISC’s research is the study of generic phenomena in nonlinear phenomena and complex systems. Specific research projects cover a range of applications in different fields, with recent emphasis on social systems, ICT and Big Data. IFISC has 61 researchers (15 of them with tenured positions) from 13 different countries. Since 2007, IFISC has coordinated or participated in 17 EC projects.

 

 

Fraunhofer IAIS

 

The Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. is with more than 20,000 employees and 2 Billion Euro annual research budget one of the leading organisations for applied research worldwide. The Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) is the Fraunhofer Society’s "data institute" and one of the most renowned research institutions in the data science area, with an extremely strong track record in data mining, machine learning, visual analytics, semantic technologies, information retrieval and software engineering. In addition to its strong position in research, IAIS has an outstanding track record in exploitation and transfer of research results. 

 

 

Hebrew University of Jerusalem

 

The Hebrew University of Jerusalem, Israel’s first university, is a multidisciplinary institution of higher learning and research. In The Times listings of the world’s 100 top universities in specific academic fields, the Hebrew University was ranked 43rd place in the arts and humanities, 44th in social sciences, 52nd in science, and 63rd in biomedicine. Shanghai University ranked the Hebrew University 65th among 1000 institutions surveyed. The faculty and students that will work on BigData4ATM are located at the Jerusalem School of Business Administration. The School's goal is to develop the next generation of business leaders and push the envelope of knowledge in the field of business management. The school attaches great importance to the quality of its academics, its teaching, and to the combination of theoretical academic research and real-world applications.

 

 

ISDEFE

 

Ingeniería de Sistemas para la Defensa de España S.A. (ISDEFE) is a government owned systems engineering firm, headquartered in Madrid, involved in scientific, technical and management activities on a non-profit basis. With more than 1,000 employees, the company provides high quality consultancy in the areas of defence, security, transport systems, and information and communications technologies. ISDEFE renders services to over 25 national and international civil and defence agencies, and has developed its activities in the following civil fields, apart from others in the military: air navigation, automation of air traffic control, safety and security in air transport, regulatory and certification frameworks, on board systems, telecommunications, computing (simulators and demonstrators), staff training and environment.

This project has received funding from the SESAR JU under grant agreement No 699260 under European Union’s Horizon 2020 research and innovation programme

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