Institut DATAIA
Science des données, Intelligence Artificielle et Société

DATAIA Institute
Data Science, Artificial Intelligence and Society

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la journée de lancement du 15 février
Scientific and disciplinary foundations

Statistics, data science, and decision
The data processing chain, built upon statistics and computer science, is rapidly evolving to accommodate the growth and evolution of data, ranging from raw signals to complex (natural language, videos) and interlinked (social networks) data. Statistical and algorithmic advances are called for along several interdependent dimensions: storage, including streaming, indexing, and compression, computation with flexible and distributed architectures, and validation, i.e. convergence control, visualization, integration with external knowledge, traceability. Corresponding software tools are needed to provide industry and academics with practical and reliable solutions.

Strategy, management and economy
The digital revolution requires managers to reconsider the traditional organization and value production models, and to take the full measure of the consumer's empowerment phenomenon. It also requires employees to be digitally literate, able and willing to design and implement innovation. In parallel, the economy of platforms raises new challenges regarding the measure of personal information value, platform loyalty in the oligopolies era, and the emergence of open data and data versioning.

Social sciences
The digital age presents social sciences precious and fresh information ranging from societal changes to public health risks, from economic growth to social vulnerability and resilience. On the one hand, its unbounded perspectives call for institutional responses. On the other hand the promise comes with substantial challenges: establishing the statistical validity of the models, providing accessible interpretations thereof and assessing their causal nature.

Legal sciences
Ethical and legal issues of the massive data world have to be tackled with effective methodologies, including the preservation of informational patrimony, the design and technical enforcement of regulations, through operational checking procedures, e.g. for privacy compliance. A first milestone concerns the design of multilateral regulation methodologies in tight cooperation with the concerned authorities (CNIL, CERNA).