On 29 October 2026, Roland Bouffanais delivered a keynote at CED-2026, the Annual International Scientific Conference “Economic Development and Legacy by Simon Kuznets”, hosted by Simon Kuznets Kharkiv National University of Economics (KhNEU) in Kharkiv, Ukraine, in hybrid format. Dedicated to the 1971 Nobel laureate in Economics, this year’s edition took the form of a […]
On 27 October 2026, Roland Bouffanais gave an invited seminar at the Department of Quantum & Computer Engineering of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at Delft University of Technology, titled “How complex contagion influences consensus in collective decision-making”. The visit was made possible by Roland’s current fellowship at the Institute […]
Our paper “The Complexity of Urban Verticality” has been accepted for publication in npj Complexity, the Nature Portfolio journal dedicated to complex systems. Kudos to lead author Benny Chin (Wei Chien Benny Chin, now at the Department of Geography, National University of Singapore), a former Research Fellow of the group, who carried this work from […]
Roland Bouffanais is a keynote speaker at CED-2026, hosted by Simon Kuznets Kharkiv National University of Economics on 29 October 2026.
Simulating Democratic Deliberation with multi-agent LLMs: paper accepted at EMNLP 2026 in Budapest.
New arXiv preprint: a hidden-Markov-model test of whether observed dynamics require higher-order (group) interactions, applied to football tactics.
Mohammad Savari’s doctoral work on social contagion and consensus on scale-free networks is out in Scientific Reports.
Roland Bouffanais joins the Institute for Advanced Study of the University of Amsterdam as a Fellow for 2026–2027.
Our new preprint introduces IntLawNER, a named entity recognition dataset and benchmark for international law. IntLawNER: A Named Entity Recognition Dataset and Benchmark in International LawSkura G, Bouffanais R & Wernli D, arXiv preprint arXiv:2609.22529 (2026). [pdf] [doi] [web]
A new policy report by Chatham House, AI Safety Asia and the University of Geneva on scenario exercises for AI-driven crises.