WSTNet Lab Profile: Inria
Inria is the French national research institute for digital science and technology. World-leading research and technological innovation are an integral part of its DNA. Inria’s 3,500 researchers and engineers put their passion for digital technology to work in nearly 200 project teams, most of which are joint teams with our academic partners, including major research universities and the CNRS. They explore new fields, often in collaboration with different disciplines and industrial partners, with the aim of meeting ambitious challenges.
As a technology institute, Inria supports the development of numerous software products, sometimes making a global impact via the open source model. Because technology start-ups are powerful channels for research outcomes, Inria also supports entrepreneurial risk-taking and start-up creation (Deeptech). Firmly established on major university campuses and in industrial ecosystems, the Institute is at the heart of the digital revolution.
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Fabien Gandon is a Research Director and Senior Researcher at Inria, France.
Fabien’s PhD in 2002 pioneered the joint use of distributed artificial intelligence (AI) and Semantic Web to manage a variety of data sources and users above a Web architecture. Then, as a research project leader at Carnegie Mellon University (USA), he proposed AI methods to enforce privacy preferences in querying and reasoning about personal data. In 2004, recruited as a researcher at Inria, he started to study models and algorithms to integrate social media and knowledge-based AI systems on the Web while keeping humans in the loop. In 2012 he became the representative of Inria at W3C and founded Wimmics, a joint research team on bridging social and formal semantics on the Web with AI methods. In 2017 he established and became the director of the joint research laboratory between Inria and the QWANT search engine.
Fabien remarked :
“In Web Science, we should build our research program as a joint effort with two research fields born in the 50s: “AI” for Artificial Intelligence and “IA” for Intelligence Amplification and Intelligence Augmentation. The Web Science research agenda must account for the fact that the long term potential of the Web is to augment and link all forms of intelligence.”
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