Complexity Cat

Review | The Information Theory of Individuality

Krakauer et al. challenge the traditional view of biological individuals, arguing that individuality is instead a process of "temporal integrity" that measures how an aggregate propagates information from its past into its future. What are the limitations of this approach? Is it possible to characterize individuals without taking semantics and pragmatics into account? In this review, I will address this and other important questions regarding the characterization of life using only syntactic information.

HUN-REN Alfréd Rényi Institute of Mathematics | Postdoctoral Fellowship in Epidemic Modelling

The Network Epidemics Group at the HUN-REN Rényi Institute of Mathematics lead by Prof. Márton Karsai works on the mathematical, computational, and data-driven modelling of dynamical epidemiological processes. On one hand, the group plays special focus on the mathematical foundation of network effects on evolving spreading processes, and on the other hand, on the data-driven simulations of behavior informed epidemic processes to observe and understand real-world spreading phenomena.

Northeastern University London | PhD Position in higher-order coordination and emergent communication across human, AI, and animal systems

NU London is both a UK university governed by UK higher education regulations, and the European campus of Northeastern University – a large, top-tier research intensive, Boston-based institution. Founded in 1898, Northeastern received $230.7m of external research funding in 2022, and is the recognized leader in experience-driven lifelong learning. Whilst the PhD will be a UK qualification, students will have the opportunity to engage with and visit the Northeastern University network overseas as part of their London-based doctoral studies, providing a truly unique and highly sought-after dimension to their research training.

University of Amsterdam | Postdoctoral Fellowship in Synthetic Social Networks for Climate Attitude-Behaviour Diffusion

Do you want to build realistic social network models when the real networks cannot be shared? Are you excited about developing privacy-safe synthetic networks that still preserve the dynamics that matter for diffusion and intervention analysis? Join ROOTS at the University of Amsterdam and help deliver network generation methods and software that enable policy-relevant modelling of sustainable transitions without compromising data protection.

LODAS 2026 | First International Workshop on Learning and Optimization for Distributed AI Systems

LODAS 2026 (First International Workshop on Learning and Optimization for Distributed AI Systems) is a premier venue for researching efficient, privacy-aware AI in distributed environments, held alongside FLICS 2026 in Valencia, Spain, from June 9–12, 2026. The workshop focuses on addressing real-world constraints such as limited resources, communication efficiency, and security.