SMART School on
Computational Social and Behavioral Sciences
Paris, September 5 - 9, 2016
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.
- Sensing Human Behaviors
- Computational models for social interactions
- 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.
List of speakers (to be extended):
- Benoît Bardy (EuroMov, University of Montpellier)
- Nadia Berthouze (UCL)
- David Cohen (ISIR)
- Thierry Chaminade (Institut de Neurosciences de la Timone, CNRS)
- Yannis Demiris (Imperial College)
- Nathalie George (ICM)
- Vincent Guigue (LIP6)
- Vincent Hayward (ISIR)
- Dirk Heylen (University of Twente)
- Nathanaël Jarrassé (ISIR)
- Charles Lenay (CosTech, UTC)
- Gianluca Manzo (GEMASS)
- Amit Pandey (Aldebaran Robotics)
- Agnès Roby-Brami (ISIR)
- Liane Schmidt (INSEAD-Sorbonne Behavioural Lab)
The program will include a special session on robotics in the context of euRobotics Topic Groups: Topic Group on Natural Interaction with Social Robots(NISR-TG) and Topic Group on Socially Intelligent Robots and Societal Applications (SIRo-SA)
This will be organized with and at Aldebaran Robotics
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
Submission through the website
Applications to attend SMART School 2016 should be received 26 May 2016. 3 June 2016.
Applicants will receive notification of acceptance by 10 June 2016.
The school will be open to about 70 qualified, motivated and pre-selected candidates.
Thanks to fundings from Sorbonne Universités and CNRS, the SMART School is free for all pre-registered participants.
The registration fees include lunches, coffee breaks, attendance to the school (lectures, practicals and social events).
The school will be hosted by the Cordeliers Campus of Sorbonne Universités from 5 to 9 September, 2016.
Some links that can be useful in order to give you ideas about your accomodation:
- CROUS PARIS:
- FIAP Jean Monnet:
- EE RI:
Raja Chatila (ISIR, SMART)
Mohamed Chetouani (ISIR, SMART)