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Administrative data

Frédéric Kaplan

frederic.kaplan@epfl.ch http://cdh.epfl.ch

EPFL CDH DHI DHLAB
INN 141 (Bâtiment INN)
Station 14
1015 Lausanne

EPFL IC DHI-GE
INN 141 (Bâtiment INN)
Station 14
1015 Lausanne

Expertise

Digital Humanities, Big Data, Models of language acquisition and evolution, Innovative Interfaces, Artificial Intelligence, Robotics, Developmental Systems, Intrinsic Motivation, Multi-agent system, Joint attention, Gesture Interaction

Expertise

Digital Humanities, Big Data, Models of language acquisition and evolution, Innovative Interfaces, Artificial Intelligence, Robotics, Developmental Systems, Intrinsic Motivation, Multi-agent system, Joint attention, Gesture Interaction

Short biography

Professor Frédéric Kaplan holds the chair of Digital Humanities and is president of the Time Machine Organization, a non-profit organization of over 600 institutions.
 He is the author of a dozen books, translated into several languages, and more than a hundred scientific publications. His work has also been exhibited in several major museums, including the Venice Architecture Biennale, the Grand Palais, the Centre Pompidou in Paris and the Museum of Modern Art in New York.

Teaching & PhD

PhD Students

Tommy Bruzzese, Ziyi Liu, Alexander Michael Rusnak

Past EPFL PhD Students

Cyril Bornet (2017), Vincent Buntinx (2017), Giovanni Colavizza (2018), Félicien Goguey (2022), Paul Guhennec (2025), Sven Najem-Meyer (2025), Rémi Petitpierre (2025), Dario Rodighiero (2018), Benoît Laurent Auguste Seguin (2018), Beatrice Vaienti (2025)

Past EPFL PhD Students as codirector

Khaled Bachour (2010), Quentin Bonnard (2012), Andrea Mazzei (2013)

Courses

Digital humanities

HUM-369

This course explores how the Humanities are being transformed in the age of AI and big data. Each session focuses on the future of a specific discipline (history, philosophy, art history). Students develop a digital prototype (Vibe coding) to accelerate research and training in SHS.

Foundations of digital humanities

DH-405

This course introduces the core concepts and methodologies of Digital Humanities, integrating both theoretical and practical perspectives. Students learn to work with large-scale cultural datasets, acquiring the tools and techniques required for their processing, analysis, and interpretation.

Urban digital twins

URB-410

This course explores urban digital twins through theory and hands-on modeling. Students build dynamic models integrating real-time, historical, and predictive data. A project on the EPFL campus using real data serves as the case study.