High socio-economic impact domains have been identified to structure, develop and disseminate scientific results of DATAIA Institute program addressing new technological frontiers:
Optimal Energy Policies The three main directions related to energy in DATAIA Institute regard: uncertainties related to energy production and demand; optimal decision and management under uncertainties; and consumer relationship management. The last issue in particular involves technical and legal questions --e.g., how personal data can be used to fuel demand models without violating privacy regulations-- and sociological ones, e.g., how displaying aggregated information at the individual or collective level can help to regulate energy consumption. DATAIA Institute partners are already engaged through exploratory or short-term research projects with EDF, RTE, IFPEN.
Health, Food and Well-Being Health data are already an essential part of Health 2.0 that comprises the accumulation of information for epidemiology, the Internet of things and personalized medicine. The generalization of connected objects is leading to preventive medicine in tight relationship with the management of well-being devices. DATAIA Institute also addresses the data-driven modeling of the relationships between diet and health at the individual level. Likewise, the trade-off between accurate fine-grained (individual-level) models, the preservation of data privacy, and the socio-economic acceptability of datadriven suggestions are major issues.
Urbanisation 4.0 & Mobility One issue is that of cooperative intelligent transport systems, built upon traffic modeling, distributed and interactive traffic management and optimal decision. Communication-based vehicle cooperation will yield significant benefits in terms of safety and traffic. Another issue is that of interconnected cyber-physical systems, that require the development of solutions for distributed optimal decision under uncertainty.
Business Analytic Many enterprises have invested huge means in data collection and processing, yet they do cannot get the most from these data to optimize their decisions and increase their value. On the one hand, many analysis tools are not usable in business contexts. On the other hand, new analysis frameworks are needed, based on current knowledge on agents and organization that make it possible to better deal with existing databases.
Internetworks of people and things Contemporary digital technologies change the way individuals and societies produce, disseminate, collect and encode data. Social networks have become key to influence, value creation, crowd innovation and collective intelligence. A new kind of communication and information exchange is thus appearing, with the emergence of new networks of humans and machines (IoT). We need to develop new tools and empirically grounded theories to make sense of the impact that these developments have on our work life, lifestyles, social identities and, more collectively, on our societies.
e-Science Scientific disciplines such as life science, chemistry, physics and astrophysics are facing challenges of various natures. In life science, the revolution of experimental techniques has opened the door to very high-dimensional datasets, yet still relatively small in terms of individuals. In physics and astrophysics, increasingly large corpora are now available, so that detection of weak signals in these huge volumes of data has become a major issue. In all sciences, data of increasing complexity are observed and call for algorithms able to cope with this complexity. DATAIA Institute aims at developing a data science culture, by interfacing carefully data science experts and practitioners from these disciplines.