Presenting is a matter of learning to be clear, to face other's appreciation and self-control.
Workshops & talks
I held a couple of talks and workshops over the years. It allowed me to clarify my own vision of some subjects and to transmit a part of my passions to others.
- How Twitter reflects sentiments of a population after a crisis ?
In french, under the title Comment Twitter reflète les sentiments d'une population en état de choc ?, this talk was a presentation of the Sample.cat project given in PSES-HSF 2016. The concept, past work, upcoming work and social implications were discussed.
Video : From Youtube
- Coding: Best Practices and Tools
Subtitled Towards painless programming for researchers, this talk was given along with L. Manzari as a lunch seminar of the Marcus Wallenberg Laboratory at KTH, Stockholm. The main idea was to give an overview of the different tools and attitudes easing the programming activities of researchers
- Git Workshop
A 3h workshop to demonstrate and introduce newbies to the wonderful world of versionning. Held in 2015 at La Ruche Numérique, Le Mans, France
Slides: Introduction à Git (fr)
- Opendays : Opendata
Slides: Opendays Opendata (fr)
Talking about what you love is an excellent exercise and the HAUMTalks create a friendly environment for one to do so.
I've held a couple of talks there and here are the titles, summary and sometimes the slides :
- Post-Summer Rsync
- After a summer spent working for the Chamber of Commerce of Le Mans and the Sarthe on the creation and development planning of a local fablab, it was time to let everyone know about the state of the project.
- #ParisAttacks : a pretext to sentiment analysis on social media
The attacks in Paris on October 13th 2015 had a huge impact on french and european population. The reactions on Twitter were fast and numerous, carrying an instantaneous snapshot of the social feeling. In this talk we discuss the relevance of a computer assisted analysis of the reactions on social media and its potential outcome.
- Modeling and errors in science
The notion of model and the underlying concept of error is central in the scientific development but tends not be as well-known as it should. This talks relies of simple a example at the beginning to explain why deriving a model, testing it against reality and publishing errors is important to achieve any analysis, of any system.