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CRI Research in brief
CRI Research Collaboratory is a research unit of INSERM and University of Paris (UMR U1284), working at the crossroads of life, learning, and digital sciences.

Founded in the spirit of facilitating the transition from closed scientific enquiry to a more open model we aim to transcending barriers between disciplines, science and the society.

We foster research at crossroads between interdisciplinary life and health sciences, basic understanding of learning processes and novel education technology/methodology testing and implementation, and digital sciences.

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Monday, July 20, 2020
10:00 AM
Analysing dynamics and stochastic causality of social networks - brainstorming session

The focus of this session will be an open discussion around the topic of promising new approaches to the analysis of the dynamics and stochastic causality of social networks such as Twitter via a mix of machine learning and rewriting theory techniques. We will be joined by Reiko Heckel (University of Leicester), who recently introduced in joint work with Bello Shehu Bello et al. [1-3] rule-based strategies for the analysis of social networks. Some of the computational tools in rewriting theory of use for this type of method will then be highlighted later the same day in the Research Seminar at 11:30 (more info here)

Remote participation possible, details and links will be made availabe closer to the event time.

References:

[1] Reverse Engineering the Behaviour of Twitter Bots, Bello Shehu Bello, Reiko Heckel and Leandro Minku, 2018 https://www.researchgate.net/publication/329390665_Reverse_Engineering_the_Behaviour_of_Twitter_Bots

[2] Social Media Campaign Strategies: Analysis of the 2019 Nigerian Elections, Bello Shehu Bello, Isa Inuwa-Dutse and Reiko Heckel, 2019 https://www.researchgate.net/publication/336813549_Social_Media_Campaign_Strategies_Analysis_of_the_2019_Nigerian_Elections

[3] Analyzing the Behaviour of Twitter Bots in Post Brexit Politics, Bello Shehu Bello and Reiko Heckel, 2019 https://www.researchgate.net/publication/337260998_Analyzing_the_Behaviour_of_Twitter_Bots_in_Post_Brexit_Politics

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Monday, July 20, 2020
11:30 AM
CRI Research Collaboratory seminar - Nicolas Behr
Tracelet Analysis for the Life Sciences

Nicolas Behr - CRI

Live at the Learning Center Extension or via Zoom at this link.

Reporting on recent progress made throughout my CRI Short-Term fellowship, I will present algorithmic advances and a first software prototype for the study of organo- and biochemical reaction systems (joint work with J.-L. Andersen, W. Fontana, R. Heckel, D. Merkle and M. G. Saadat). After providing a non-technical introduction to the key theoretical concept of rewriting theory, also touching briefly upon possible use scenarios within social network theory, the main focus of the talk will be a live demonstration of the prototype of our open-source algorithm collection for analyzing rewriting systems. Intuitively, the notion of pathways in chemical reaction systems is given a precise theoretical counterpart in the structure of so-called tracelets, which permits the development of a new approach to the static analysis of such pathways. The key purpose of our software project consists in rendering these category-theoretical algorithms accessible to practitioners in the applied sciences, concretely via providing a high-level API in the form of a Python package (and that relies upon the Microsoft Z3 SMT solver as key part of its computational core). Feedback on the live demonstration of the software prototype would thus be highly appreciated!

The seminar will be preceeded by a brainstorming session, more info here

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Monday, July 27, 2020
11:30 AM
CRI Research Collaboratory seminar - Cédrine Socquet, Ana Phelippeau, and Paul-Peter Arslan
Spotlight on the students!

Featuring the research by our PhD, master and bachelor students

Live at the Learning Center Extension or via Zoom at this link.

![]() ![]() Rewriting the evolution of handwriting gesture

Fundamental research hand in hand with new technologies

Cédrine Socquet, Ana Phelippeau, and Paul-Peter Arslan

Writing is studied in this open and interdisciplinary research as a unique ability, present in one animal species, Homo Sapiens, involving the development of the brain but also and especially the development of motor skills.

Humans share several skills with non-human primates. Grasping and manipulative abilities have evolved both in humans and non-human primates (but also in many other species such as arthropods, birds, mammals, amphibians). Studying the use of tools in non-human primates helps us to have a better understanding of the evolution of human grasping abilities. However, handwriting remains a human specificity and the study of its prerequisites allows us to have a better knowledge of the human hand. Thus, handwriting is one of the most complex and fastest movements of the human motor repertoire. It is the most complex language modality associated with a highly elaborate system of neurological and biomechanical integrations that change according to what the task demands. From the youngest age, most human infants are trained to learn how to write. Handwriting is an important issue for personal and scholar activities. However, the underlying mechanisms of the development of handwriting in children remains poorly investigated. Besides, a major issue with children is dealing with a huge variability and highlighting invariants in this variability. In this project, we are developing digital tools (e.g. sensors) to explore the development of handwriting in children.

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