Affiliated researchers
Hi! PARIS support the researchers of HEC Paris, IP Paris schools and Inria Saclay by several means:
- Personal research grants, as Fellowship
- Recruitment of chair holders
- PhD and Postdoctoral Funding Opportunities
- Collaborative and scientific projects
- Engineering Team research projects
The researchers getting support from Hi! PARIS are referred as affiliates of the Center.
An interdisciplinary community of outstanding scientists, who lead pioneering research on AI and data science to develop a strategic vision for economic and public decision makers in France and Europe.
Hi! PARIS unites top-tier researchers dedicated to the study and advancement of AI and Data Science,
encompassing diverse specializations and practical domains. Their scientific breakthroughs will allow new
solutions to thrive in all business sectors whilst creating significant impact on society.
Our interdisciplinary research agenda is driven by our dedication to exploring and creating structures that
facilitate the progress and implementation of AI technologies
OUR VISIONS OF RESEARCH
// PhD Research to Advance and Adapt AI
After highlighting the perspectives of our chairs and fellows in the first edition, we are now focusing on the PhD students advancing the future of AI, across three main themes: Living with AI, Understanding how AI transforms Business, and Preparing AI for the Future.
Hi! PARIS Engineering Team
The team work together with our professors and researchers to produce open-source and reproducible code and to bridge the gap between research and industrial applications, preparing for transition of technologies from academia to real-world applications and driving technology transfer.
The Hi! PARIS Engineering Team is made up of engineers specializing in Data and artificial intelligence. This initiative is intended to bring added value to researchers in the development of their project.
- Support the development of research projects.
- Promotion of reproducible research.
- Support teaching programs (Hackathon, Data Bootcamp…).
- Bring ad hoc expertise to research teams.
- Maintain and deploy a data factory (a development platform).
- Provide the necessary technical resources.
- Promote the work of researchers.
- Capitalize on research projects.
- Encourage collaborations between schools in order to deepen research by mutualizing resources.
The team work together with our professors and researchers to produce open-source and reproducible code and to bridge the gap between research and industrial applications, preparing for transition of technologies from academia to real-world applications and driving technology transfer.