SMART School on

Computational Social and Behavioral Sciences

Paris, September 4 - 8, 2017

Enjoy the video of 2016 edition!



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.



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.

The main topics of 2017 edition are Influence and Decision.



  • Sensing human behaviors, emotions and sentiments
  • Opinion and behaviours influence
  • Human-machine interaction and decision
  • Information diffusion on social networks 
  • Neural basis of decision
  • Reinforcement learning 
  • Variational Bayesian Analysis
  • Ethical issues
  • Influence of biomarkers on medical decisions
  • Industrial applications of influence and decision theories and models 

Preliminary list of speakers:

  • Rachid Alami (LAAS-CNRS)
  • Kévin Bailly (ISIR, UPMC)
  • Laurent Boudin (LJLL, UPMC)
  • Raja Chatila (ISIR, UPMC)
  • Chloé Clavel (LTCI, Institut Mines Telecom)
  • Jean Daunizeau (INSERM, ICM) 
  • Jacques Dubucs (Paris Sorbonne)
  • Benoît Girard (ISIR, UPMC)
  • Mehdi Khamassi (ISIR, UPMC) 
  • Sylvain Lamprier (LIP6, UPMC)
  • Vincent Perlbarg (LIB)
  • Mathias Pessiglione (INSERM, ICM)
  • Louis Puybasset (LIB)
  • Laure Rondi-Reig (IBPS)
  • Liane Schmidt (ICM, INSEAD-Sorbonne Behavioural Lab)

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 a reference letter 

Submission through the website  


Applications to attend SMART School 2017 should be received  6 June 2017.  16 June.

Applicants will receive notification of acceptance by mid June 2017.

The school will be open to about 70 qualified, motivated and pre-selected candidates.


Registration fees:

The SMART School is free for all pre-registered participants.

Registration includes lunches, coffee breaks, attendance to the school (lectures, practicals and social events). 

Local information: 

The school will be hosted by the Cordeliers Campus of Sorbonne Universités from 4 to 8 September, 2017. 



Some links that can be useful in order to give you ideas about your accomodation:

  • CISP:




  • CIUP:


  • FIAP Jean Monnet:


  • MIJE:


  • EE RI:



School Directors:

Raja Chatila (ISIR, SMART)

Mohamed Chetouani (ISIR, SMART)


Laboratory of Excellence SMART (ANR-11-LABX-65) is supported by French State funds managed by the ANR within the Investissements d'Avenir programme under reference  ANR-11-IDEX-0004-02
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