This article by Makery summarizes the role of data in shaping the OpenCovid19 community on JOGL, from context (recommender system design, open peer-reviewing) to content (data-driven projects).
New article in Makery about the JOGL data approach
New article in “The Conversation”
In this article, I describe how the coronavirus crisis led to an unprecedented wave of scientific collaboration, both inside and outside traditional institutions, showcasing in particular the example of our initiative OpenCOVID19 on Just One Giant Lab.
Postdoc position in my lab
EDIT: the position is now closed.
We currently offer a postdoc or research engineer position in the areas of Computational Social Science, Network Science, Big Data, and Social Network Analysis, to be filled immediately.
The applicant will join my team at the CRI to work on large-scale datasets to understand the dynamics of radicalisation of digital communities. In particular, the applicant will work on a project in collaboration with Hugo Micheron (ENS Paris) and Samuel Fraiberger (NYU, World Bank) to map the temporal evolution of the influence network of radical Islam on the web using large datasets from Twitter, Youtube and Facebook. The project is supported by a “Domaine d’Interet Majeur” funding from the region Ile de France.
For more information, visit the job page!
2019: a year in review
As the New Year just passed, I thought I’d give a go at a general life update and some personal reflections.
TL;DR: it was a busy year.
Continue readingWork featured in “Le Monde” newspaper
Our work on the rise and fall of research fields has been featured in the French newspaper Le Monde. The content can be accessed here (in French). We explain how the analysis of millions of scientific articles showed that innovators in Science work in small teams, are young, multidisciplinary (publish in many disciplines) and interdisciplinary (publish at the border between disciplines). Paper to come soon!
New publication in the LAK20 conference
Our first hackathon with JOGL
With Just One Giant Lab we just organized our first hackathon on Open Data and Vaccination for our first program Co-Immune! We had 6 teams with great ideas and projects using data science to better understand vaccination hesitancy and access to vaccines. More below:
Lab projects
A lot has happened since I started my lab last year, and I wanted to showcase a bunch of projects that we have begun to tackle at CRI with my team, the Network Ties! Below you can find a poster presenting our work in quantifying innovation and large-scale collaboration in science and technology. These various projects combine physics-inspired modeling, network and data science to better understand how collective intelligence shape both learning and solving! If you’re interested in these projects, we are hiring! Do not hesitate to contact me for further information!
