Our new paper on a higher-order measure of alignment meant for polarisation research: "multiway alignment," measuring the information knowing your opinion on one topic gives about a set of other issues. Led by my student Letizia Iannucci  arxiv.org/abs/2408.00139

When studying alignment and constraint, we've been using bivariate measures. In this paper led by Letizia Iannucci, we introduce a multiway alignment measure, which captures real-world political complexities missed by bivariate alignment. arxiv.org/abs/2408.00139

Letizia Iannucci studies how to characterize multiway alignments in multidimensional opinion dynamics At #CompSocSci satellite #CCS2024 Conference on Complex Systems

Abbas K. Rizi narrating the story of stories with his magical analysis at the Behavioral Patterns session.. Conference on Complex Systems

I am extremely concerned about the culture in the scientific community where analyses and their respective code/scripts are made for single use. And secondly, I am also perplexed by the lack of internal validation and checks. We need to change this and lead by example.

🚀 Excited to share our paper, TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series, which will appear at #NeurIPS! Letizia Iannucci Samuel Kaski Aalto University Finnish Center for AI 🦣 @[email protected] arxiv: arxiv.org/abs/2305.11567 code: github.com/AlexanderVNiki… See the 🧵 for details!

🏆 Honored and humbled by this recognition! Huge thanks to Mikko Kivelä and Antonis Matakos for their guidance and support. Excited to keep building on these ideas and push them further 📚