At its launch, DATAIA Institute mobilizes more than 130 researchers and teacher-researchers from 14 institutions (Université Paris-Saclay, Inria, CEA, CentraleSupélec, CNRS, Ecole polytechnique, ENSAE, HEC, IFP-EN, IMT, INRA, Université Evry-Val d’Essonne, Université Paris-Sud, Université Versailles - Saint-Quentin-en-Yvelines) as well as an industrial affiliation program allowing close collaboration with the companies.
Data are collected and processed in all areas of private and professional life.
In the fields of transport or tourism, the agile and intense exploitation of data already makes it possible to challenge the leading companies of the 21st century. Data-driven research and innovation has enabled the development of an entirely new economy.
These smart technologies and services have destabilized many traditional industries and are disrupting our lifestyles, the functioning of our organizations and our entire social model. While data-driven business models are radically changing the landscape, they face major scientific and technological challenges (capturing, storing, processing exponentially growing data) and raising critical social, legal, and ethical issues.
In the same way that data are ubiquitous, the algorithms for managing and analyzing these data are becoming more and more present and inherent to intelligent digital services.
Because of this duality between data and algorithms, mastering the robustness and stability of algorithmic systems is a major challenge.
Data analysis evolves from the description of the past to predictive and prescriptive analysis. Depending on the country, vigilance was created around sensitive data (privacy) and / or algorithms (prescriptive context). Questions then arise about the neutrality, fairness, non-discrimination, loyalty, security and bias of these algorithmic systems because of the informational asymmetry between the producers of these digital services and their consumers, that they are citizens or professionals (B2C or B2B). Thus, transparency, accountability and explicability of algorithmic systems become critical properties.
The digital transformation based on data science and artificial intelligence presents scientific, technological, legal, economic and ethical barriers that are totally interdependent in the current context.
The objective of the DATAIA Institute is to respond to these challenges and questions by advancing in a concerted manner: the state of the art in data sciences preparing the emergence of innovative artificial intelligence services (from algorithms to proofs concepts); the junction of the human sciences and the digital revolution.
... in data science
The objective of the DATAIA institute is to improve in a concerted way: the state of the art in data sciences preparing the emergence of innovative artificial intelligence services (from algorithms to proofs of concepts); the junction of the human sciences and the digital revolution. The DATAIA Institute should allow the different disciplines concerned to seize an issue by taking into account all of its dimensions and impacts.
The DATAIA Institute's mission is to develop, in connection with this interdisciplinary research, innovative trainings of excellence at the master and doctorate levels, in initial training as well as in continuing education for the training of the next generation of "data scientists".
...academic and industrial worlds
The DATAIA Institute will strengthen the dialogue between the academic and the industrial communities and consolidate the international visibility and expertise of the Saclay Data Science community by hosting major scientific personalities.
The DATAIA Institute's mission is to bring together, in an organized partnership in a given place, diversified research skills aimed at producing new knowledge through the joint mobilization of different disciplinary skills. Paris-Saclay University brings together experts of the highest international standard in various disciplines: mathematics, computer science, economics and management, humanities and social sciences. This disciplinary wealth is an unparalleled opportunity in France covering the entire spectrum of data sciences and artificial intelligence as well as societal issues.