Carlos Castillo (link) and I presented a poster at StanCon (link) in Helsinki this week. The poster discussed our research-in-progress on our algorithmic fairness project, which looks into university admission criteria.
Aris Gionis and I presented the polarization tutorial at KDD this year (prepared jointly with Kiran and Gianmarco).
Slides are available here.
Kiran, Gianmarco, Aris and I attended the Web Conference in Lyon last week, where we presented our tutorial (link) on polarization on social media, as well as our recent, large-scale study on echo chamber on Twitter (link).
The tutorial was a particularly good opportunity to present a large number of works from the related literature of various disciplines and discuss with the audience. Part of the discussion was reported on Lemonde by William Audureau, who covered the conference for the newspaper.
Attending the Complex Networks conference in Lyon.
Yesterday, I attended PyCon Finland as a speaker. Kiran and I gave a talk on using networkx to visualize interactions on Twitter. The talk was aimed at beginner / intermediate-level programmers and we described, essentially, how we produced the plots that appear in our work¹ on polarization on social media.
The Jupyter notebook for our slides is here.
Update: The video of our talk is posted on YouTube.
In a parallel session, Clemens also presented coding material from his masters thesis on text classification.
Last week I had the opportunity to travel to Pisa and attend the kick-off meeting of SoBigData, a project funded by the Horizon 2020 program of the EU. Aalto participates with two partners in the project – Santo Fortunato from the Complex Networks group and Aris Gionis from the Data Mining Group (to whom I owe my participation).
The consortium consists of many academic partners (from University of Pisa, ETHZ, CNR, TUDelft, Fraunhofer, Sheffield, IMT Lucca, King’s College London, Scuola Normale Superiore — and Aalto). Quite predictably, part of the project will be devoted to research in social data mining and related areas. What’s interesting, however, is that the largest part of the project will be devoted to integrating existing local research infrastructure (e.g. at national level) into a unified European ecosystem. The goal of the project is to build infrastructure to facilitate the sharing of datasets and research findings among European scientists.
Interesting fact about Pisa: with about 90,000 residents, it also hosts about 40,000 students – it’s a big college town.