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SMART School on Computational Social and Behavioral Sciences

8 Avril 2015

Catégorie : Ecole thématique

SMART School on Computational Social and Behavioral Sciences

Paris, August 31th - September 4th 2015



Understanding human behavior by using both computer vision and signal processing has become of major interest since the emergence of numerous applications in various domains, such as social signal processing, affective computing or human-computer interaction. The key idea of a quantitative modeling and understanding of human behaviors through computational models is a long-term goal. Recent advances in mathematics, computer science, signal processing, machine learning (including Big Data) and robotics now make it possible to consider the development of tools or systems for human-human interaction or human-computer interaction analysis. This will break a new ground for future studies of human behaviors through the lens of complementary domains such as social neuroscience, psychology, sociology as well as psychiatry.

This school is organized in the context of the Laboratory of Excellence SMART Human/Machine/Human Interactions in the Digital Society (


The SMART School on Computational Social and Behavioral Sciences will contribute to bridge the gap between the areas of social neuroscience, linguistics, psychology and sociology on the one hand, and mathematics, machine learning, artificial intelligence, social networks, autonomous agents and social signal processing on the other hand. This interdisciplinary framework will be efficient only if regulatory and ethical issues are taken into account at the early steps of the research.

This school allows completing the training of PhD students in computational sciences whom research require a background in human behavior analysis, modeling and/or synthesis.


  • Sensing Human Behaviors
  • Computational models for social interactions (human-human, human-agent/robot)
  • Evaluation of social interactions (challenges, metrics)
  • Social interaction patterns at group level
  • Big data and social networks
  • Computer science and sociology
  • Ethics, protocols and case studies.
  • Industry

List of speakers (to be completed)

  • Aziz Benlarbi (L2E, SMART)
  • Frédéric Bevilacqua (IRCAM, SMART)
  • Raja Chatila (ISIR, SMART)
  • Mohamed Chetouani (ISIR, SMART)
  • Marco Cristani (Univ. Verona)
  • Patrick Garda (LIP6, SMART)
  • Daniel Gatica-Perez (IDIAP)
  • Dan Istrate (UTC, IUIS)
  • Mathieu Latapy (LIP6)
  • Ren Luo (NTU)
  • Claude Montacie (Paris 4)
  • Mathieu Latapy (LIP6)
  • Catherine Pelachaud (LTCI)
  • Charles Tijus (Chart-Lutin, SMART)
  • Liane Schmidt (INSEAD)
  • Bjorn Schuller (Imperial College)
  • Isabelle Viaud-Delmon (IRCAM)
  • Alessandro Vinciarelli (Glasgow)

School application

Ph. D. students, post-docs, junior and senior researchers are encouraged to apply. Applications should contain:

  • CV describing the academic background, webpage, other information that you may consider important.
  • Motivation letter.
  • Student certificate.
  • Each student is strongly encouraged to submit also a reference letter 

through the registration website:

Applications to attend SMART School 2015 should be received before 18 May 2015. Applicants will receive notification of acceptance by 1 June 2015. The school will be open to about 70 qualified, motivated and pre-selected candidates.

Local information

  • The school will hosted by the Cordeliers Campus of Sorbonne Universités from August 31th to September 4, 2015.
  • The school is also a satelitte event of The 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Paris, France, August 25-28, 2015.

School Directors:

  • Raja Chatila (ISIR, SMART)
  • Mohamed Chetouani (ISIR, SMART)