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| Hi! Paris | |
|---|---|
| Name | Hi! Paris |
| Established | 2019 |
| Type | Graduate school |
| City | Paris |
| Country | France |
| Affiliations | Institut Polytechnique de Paris, ESCP Business School, École normale supérieure Paris-Saclay, Hasso Plattner Institute |
Hi! Paris Hi! Paris is an international graduate institute based in Paris focused on artificial intelligence and its societal applications. Founded through a collaboration among leading European institutions, the school emphasizes interdisciplinary study across computer science, business, and public policy. Hi! Paris positions itself at the intersection of applied research, industrial partnerships, and higher-education innovation in the Paris metropolitan academic ecosystem.
The initiative to create Hi! Paris emerged amid discussions between Institut Polytechnique de Paris, ESCP Business School, and other partners in the late 2010s alongside broader European efforts such as Horizon 2020 and initiatives linked to the European Commission. Its founding reflects collaborations seen in projects like INRIA partnerships and drew inspiration from established institutions including Massachusetts Institute of Technology, Stanford University, University of Oxford, University of Cambridge, and École Polytechnique. The institute launched programs and research clusters influenced by prior work at Télécom Paris, CNRS, Sorbonne University, and Collège de France. Early funding and strategic alignment referenced mechanisms comparable to grants from Agence Nationale de la Recherche and cooperation models similar to those used by CEA and Laboratoire d'Informatique de Paris 6. Hi! Paris developed curricula and governance arrangements during a period when other global AI centers such as DeepMind, OpenAI, Facebook AI Research, Google DeepMind, and academic hubs like Carnegie Mellon University, ETH Zurich, Technical University of Munich, and Tsinghua University expanded AI education.
Hi! Paris occupies facilities in the Paris region with close ties to campuses and research sites associated with Campus Paris-Saclay, La Défense, and urban settings similar to those of Université Paris-Saclay and Université Paris Cité. Physical infrastructure supports labs and collaborative spaces modeled on technology parks like Station F and innovation hubs associated with Skolkovo Innovation Center and Silicon Valley ecosystems including Stanford Research Park. The institute hosts dedicated laboratories equipped for machine learning, human-computer interaction, and robotics research drawing on instrumentation comparable to that at Inria Saclay and testbeds found at CEA List. Facilities include lecture halls, incubators, and co-working zones inspired by practices at INSEAD, HEC Paris, Imperial College London, and ETH Zurich. Hi! Paris also maintains partnerships for access to supercomputing resources like those at CEA, GENCI, and international centers such as NCSA and PRACE.
Hi! Paris offers master's and postgraduate programs integrating content from fields represented at École normale supérieure Paris-Saclay, École des Ponts ParisTech, ESCP Business School, and Institut Polytechnique de Paris. Curricula combine courses in machine learning, data science, and AI policy influenced by syllabi from Carnegie Mellon University, Massachusetts Institute of Technology, University of California, Berkeley, Oxford Internet Institute, and Harvard Kennedy School. Programs emphasize interdisciplinary tracks similar to those at University College London and include project-based collaborations with corporates comparable to Dassault Systèmes, Thales, Airbus, Orange S.A., and Capgemini. Specialized modules address areas reflected in international standards and frameworks developed by entities like IEEE, European Union Agency for Cybersecurity, and OECD AI policy work. The institute also organizes executive education and professional certificates analogous to offerings at INSEAD and London Business School.
Research at Hi! Paris spans machine learning theory, natural language processing, computer vision, and AI ethics, paralleling research agendas at DeepMind, OpenAI, Facebook AI Research, and university labs such as MIT CSAIL, Stanford AI Lab, and Berkeley AI Research (BAIR). Collaborative projects involve industrial partners including Google Research, Microsoft Research, Amazon Research, and regional corporations like Dassault Aviation and Société Générale. The institute participates in consortiums and European research programs similar to Horizon Europe consortia, engaging with standards bodies and think tanks such as CNIL, Center for Data Innovation, and Partnership on AI. Hi! Paris maintains research chairs and technology transfer arrangements reminiscent of partnerships between EPFL and industry, and hosts conferences and workshops akin to NeurIPS, ICML, ACL, CVPR, and ICLR.
Admissions at Hi! Paris target candidates from institutions like École Polytechnique, ENS Ulm, HEC Paris, Université PSL, Sciences Po, Imperial College London, ETH Zurich, Tsinghua University, and University of Toronto. Selection criteria include academic records, research experience, and alignment with partner-industry projects comparable to internship models at Airbus and Valeo. The student body comprises international cohorts engaged in study-abroad mobility with exchanges similar to programs at Erasmus Mundus and collaborations with universities such as Peking University and National University of Singapore. Student life integrates career services, entrepreneurship support connected to Station F, and student clubs modeled on societies at Oxford University and Cambridge University. The institute also provides housing assistance near hubs like Paris-Saclay and cultural programming leveraging Paris institutions such as Louvre Museum and Musée d'Orsay.
Governance of Hi! Paris involves a consortium model drawing governance practices from Institut Polytechnique de Paris, ESCP Business School, and similar entities including Fondation de France-style philanthropic frameworks and state oversight comparable to arrangements with Ministry of Higher Education, Research and Innovation (France). Funding sources include institutional contributions, competitive research grants from bodies like European Research Council, industry contracts with companies such as TotalEnergies and Renault, and philanthropic gifts in the manner of endowments at Carnegie Mellon University and Stanford University. Strategic oversight involves advisory boards with representatives from academic institutions, industry partners like Microsoft, Facebook, and regulatory stakeholders including CNIL and European Commission representatives.
Category:Universities and colleges in Paris