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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, December 7, 2020
11:30 AM
CRI Research Seminar: Remy Kusters

Deep learning driven model discovery in biology and physics

In this talk I will introduce DeepMoD, a deep learning based model discovery algorithm which seeks the partial differential equation underlying a spatio-temporal data set. DeepMoD employs sparse regression on a library of basis functions and their corresponding spatial derivatives. A feed-forward neural network approximates the data set and automatic differentiation is used to construct this function library and perform regression within the neural network.We illustrate this approach on several problems in the context of (bio)physics, mechanics and fluid dynamics, such as the Burgers', Korteweg-de Vries, advection-diffusion and Keller-Segel equations, and find that it requires as few as O(100) samples and works at noise levels up to 75%. This resilience to noise and high performance at very few samples allows to apply DeepMoD directly to noisy experimental time-series data, discovering e.g. the advection diffusion equation from a gel electrophoresis experiment.

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Monday, December 14, 2020
11:30 AM
CRI Research Seminar: Raúl Velasco-Fernández

Depoliticizing and repoliticizing SDGs

Sustainable Development Goals (SDGs) have become an important political reference for all types of institutions as public administration, multinationals or NGOs. The advocates of SDGs emphasize that they are the result of a deliberative and decision-making process building on expert knowledge and considering a plurality of moral arguments about human dignity, achieving a discursive consensus with strong universalist legitimacy. However, they have been accused to be a political instrument for imposing “green-economy” under a neoliberal agenda (e.g. fostering land-grabbing), ignoring that sustainability requires the reduction of consumption of the richest and redistribution, and not just a change in the so-called Knowledge-based Bio-Economy. In this seminar, we will discuss: (i) how ignoring the systemic contradictions among SDGs when implementing specific policies contribute to the growing distrust in institutions; (ii) how depoliticising for maintaining consensus is a bad solution to handle conflicts derived from SDGs agenda; (iii) the fact that the identification of the concerns addressed by SDGs has been based on deliberative processes, does not exclude that at the moment of prioritizing policies a hegemonic perspective of perpetual economic growth is adopted; (iv) the implementation of SDGs policies would require not only a deliberative process identifying priorities over concerns but also the recognition of their conflictive nature. Therefore, this process should leave the door open to a continuous re-adjustment of both the list of concerns and the priorities over them. In conclusion, the quality check over SDGs policies should be used to repoliticise their discussion.

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