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Fascinating talk by Leonie Neuhäuser @[email protected]: We learned two network interventions to change the representation of minorities in top-k ranks, and how systematic errors (missing links/nodes) affect this representation. Watch the video: bit.ly/LSNI-2024-vide… Complexity Science Hub #LatePost

🚀 We’ve landed on bluesky! Come vibe with us where the sky’s the limit. 🌌 We’re still hanging out here on X (for now) but the future’s looking pretty blue. 💙 Follow us there & stay ahead of the curve: bsky.app/profile/netinc… #StayConnected Complexity Science Hub

Thank you to all speakers and attendees of the 2024 Lecture Series on Network Inequality! Special thanks to our #NetIn team for organizing 17 insightful talks. We hope these sessions inspire new ideas and collaborations for a more connected and equitable world. Complexity Science Hub

Happy New Year from our lab! Grateful to our community—colleagues, partners, mentors, and followers. 2024 was a year of growth in exploring network inequalities, publishing research, and sharing knowledge. Thanks to our team, speakers, and Complexity Science Hub. Here's to an inspiring 2025!

Excited to share our colleague Liuhuaying Yang's sci-fi book inspired by our research on inequality in ranking systems! A creative take on how the rich-get-richer effect & homophily shape visibility. A must-read for all curious minds! Order on Amazon: amzn.eu/d/cyMLz4V

I am pleased to share this research paper rdcu.be/d6F7e, published in EPJ Data Science , a q1 journal in modeling. The research work is about the prediction of SES using GNN. This a joint work with: Carmen, Monica Villavicencio, Lisette Espín-Noboa 🇪🇨, Nervo Xavier Verdezoto. cc: ESPOL Investigación ESPOL

We are delighted to welcome Paula Nauta to our team as a #PhD! Paula will develop research on ***parenthood*** in Academia and the ethics and moral values behind ML papers. Stay tuned for the outcomes of her projects in the coming years!

New paper allert!🚨🚨🚨 Fariba Karimi W/ Sina Sajjadi, Pourya Toranj Simin and others show how socio-economic inequalities exacerbate infection disparities using computational models and validated with empirical COVID data in the US. nature.com/articles/s4159…