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Foresight in Data Science, Artificial Intelligence and Biology

 

2 December 2020

 

Biology is undergoing a major technological transformation with the production of massive data enabling a new understanding of molecules, genomes, cells, organisms and environments. This change calls for a reinforced mobilisation of data science and artificial intelligence (SD-IA) for biology. In this context, the Scientific Councils of the National Institutes of Biological Sciences and Information Sciences and their Interactions are organising a prospective symposium by videoconference on 2 December 2020. The objective is to identify the needs and resources of the scientific community at the interface between SD-IA and biology, in order to make recommendations to our institutes on the main areas to be strengthened and the necessary investments.

Start End Topics Stakeholders Video
09:00 09:40 Data Science, Artificial Intelligence and Biology Thomas Schiex (INRAe, Toulouse)
10:00 10:20 Advancing data science through challenges  Bertrand Thirion (INRIA, Saclay)
10:30 10:50 Use of human data in biological research Frédérique Lesaulnier (Inserm, Paris)
11:00 11:20 Contributions to Neuroscience Valentin Wyart (ENS, Paris)
11:30 11:50 Contributions to Structural Biology Sergei Grudinin
13:30 13:50 Contributions in Genomics Chloé Azencott (Mines ParisTech)
14:00 15:00 Parallel working groups on four themes (Use of human data for biological research, SD-IA in neuroscience and cognitive science, SD-IA in molecular and cell biology and SD-IA in structural biology) William Ritchie, Catherine Tallon-Baudry, Laurent Jacob, Sergei Grudinin et Daniel Kahn  
16:00 18:00 Round table Mokrane Bouzeghoub (INS2I), Franck Picard (CID51), Anne Siegel (INS2I), Jean-Louis Vercher (INSB) and the rapporteurs of the working groups  
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