Interactive visualization is an important part of the data science process. It enables analysts to directly interact with the data, exploring it with minimal effort. Unlike code, however, an interactive visualization session is ephemeral and can't be easily shared, revisited, or reused. Computational notebooks, such as Jupyter Notebooks, R Markdown, or Observable are widely used in data science. These notebooks are an embodiment of Knuth's “Literate Programming”, where the logic of a program is explained in natural language, figures, and equations. As a consequence, they are both reproducible, and reusable. In this talk, I will sketch approaches to "Literate Visualization". I will show how we can leverage provenance data of an analysis session to create well-documented and annotated visualization stories that enable reproducibility and sharing. I will also introduce work on inferring analysis goals, which allows us to understand the analysis process at a higher level. Understanding analysis goals enables us to enhance interaction capabilities and even re-used visual analysis processes. I will conclude by demonstrating how this provenance data can be leveraged to bridge between computational and interactive environments.

The 2021 edition of the ANR's Joint Labs program is launched. The first evaluation session of the projects will take place on 25/05/05. The submission of project remains possible until 21 September 2021. The LabCom program aims to create a long-term structured partnership between an academic research laboratory and an innovative SME/ETI. The link below gives more details on the characteristics of a LabCom, the procedure for submitting applications, and the conditions of eligibility.

Presentation of the contribution of the virtual during the exhibition held at BU of the University Claude Bernard Lyon 1. This presentation is made through a video illustrating the work carried out within the ORIGAMI team on the design of simulators for learning medical gestures. The exhibition will take place on Thursday February 4 from 12:15 p.m. to 1:45 p.m. (in accordance with the health protocol). It will also be visible on the Youtube channel of Claude Bernard Lyon 1 University.

The workshop STRAPS (organised by the groups DB, SOC and DRIM of the LIRIS) aims at promoting scientific discussion on the way data stemming from different providers and produced under different conditions can be efficiently integrated to answer simple, relational, analytical queries ensuring providers, algorithms and data trust.