Progetto Lagrange: aperto 𝐟𝐢𝐧𝐨 𝐚𝐥 𝟏𝟖 𝐟𝐞𝐛𝐛𝐫𝐚𝐢𝐨 il bando per 𝟖 𝐛𝐨𝐫𝐬𝐞 𝐝𝐢 𝐫𝐢𝐜𝐞𝐫𝐜𝐚 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐚 in Data Science e Impatto Sociale. bit.ly/3tlC0Ng ISI Foundation

New preprint out w Francesco Bonchi André Panisson alan ! For graph classification tasks, why should your explanation language be forced to match the low-level input space of the black-box? Get a nice motif-based explanation with GraphShap! #xai arxiv.org/abs/2202.08815

🚨 Job openings in Copenhagen! 🚨3 PhD/postdoc positions in the @nerdsitu team at ITUkbh on my COCOONS project on collective coordination. #ComputationalSocialScience #DataScience #NetworkScience #NLProc Details here: lajello.com/positions.html

🔍 Did you Google something today? 🩺 Do you like healthcare? 👉 Read this: Googling for Abortion: How Google Mediates Access to Abortion Access -- and Why It Matters Now More Than Ever link.medium.com/fImV1jjZMpb #abortion #abortionrights #google #RoeVWade

Time-varying graph representation learning via higher-order skip-gram with negative sampling ift.tt/YcU43Gn

Check out this new title:Time-varying graph representation learning via higher-order skip-gram with negative sampling The EPJ journals ift.tt/YcU43Gn

Our work "Time-varying Graph Representation Learning via Higher-Order Skip-Gram with Negative Sampling" with Simone Piaggesi has been published in EPJ Data Science! epjdatascience.springeropen.com/articles/10.11…

🔴 Just presented a new paper about how users flow in political communities on Reddit Social Informatics 2022 (#SocInfo22) ! Our network shows which subreddits act as bridges toward liberal, leftist, or alt-right areas. Thanks to the team Cesare Rollo, Gianmarco De Francisci Morales @gdfm.bsky.social , André Panisson corradomonti.com/files/SocInfo2…

🚨We are hiring researchers 🚨 CENTAI (Center for AI) at all levels of seniority (from post-docs to principal scientists) and in all areas of #AI #DataScience #MachineLearning and #ComplexSystems See centai.eu/careers/details or feel free to get in touch with me for more info #hiring

New Research: Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data frontiersin.org/articles/10.33… #BigData

How does low-credibility information about vaccines spread across different countries on Twitter? In our last paper, we quantify cross-border misinformation flows between users exposed to anti-vaccination (no-vax) content, before and during COVID. 1/6 arxiv.org/pdf/2211.11495…

📢Announcing CENTAI's scientific kick-off event next 1-2 of March, in Turin. Check-out the program and hurry up to register for free! Tickets are running out fast. centai.eu/news/navigatin… #AI #ComplexSystems #Economics #MachineLearning #Neurosciences #DataScience

Opening for a Postdoc position CENTAI (Center for AI) to work on coordinated inauthentic behavior (e.g. misinformation, disinformation, propaganda). Do you enjoy academic research but would also like to have more real-world impact? Come work with us! centai.eu/news/call-for-… DM for info

Job opportunity! CENTAI (Center for AI) is seeking talented individuals with background in #AI to join our team and tackle some pressing societal challenges. Help detect and combat coordinated inauthentic behavior while pursuing your #research goals. Apply now! centai.eu/news/call-for-…

We just started CENTAI (Center for AI) kick-off meeting with the first keynote lecture by Prof. J. Doyne Farmer.

Oggi e domani CENTAI, il centro di ricerca avanzata nel campo #AI nato dalla partnership tra #IntesaSanpaolo ed un team internazionale di ricercatori, presenta Navigating the Research Frontier of AI and Complexity, dialoghi con la comunità scientifica. linkedin.com/feed/update/ur…

With our last pre-print showing a new fast and effective way for training GNNs, we are also releasing our "lightning-fast" implementation of uniform random spanning tree extraction: github.com/panisson/rst

Did you know #ECMLPKDD2023 will host the 1st Special Day on AI for Financial Crime Fight? Distinguished speakers will talk about fighting financial crimes with AI! The event is free, but with only limited seats! 📆 Sep 18 🔗2023.ecmlpkdd.org/ai4fcf 🎟️ai4fcf.eventbrite.it

🔴 New paper on Accepted papers at TMLR! ML algorithms are everywhere – but often as black boxes obfuscating decisions. Hence explainers: you give them a model, they tell you what it's grounding its decisions on. But how to avoid explainers becoming black boxes? Who watches the watchmen? (1/3)