Deep dives
The Papers topic is the center of gravity: nearly five thousand posts spanning physics, biology, AI, social systems and economics. Its defining habit is to treat complexity as a shared language for different sciences, moving from evolutionary dynamics to network stability without narrowing the field to one discipline.
Information engines: A physical model of evolutionary dynamics
Recent selections show how quickly the topic absorbs new questions. Large language model agents appear not as hype, but as another system in which emergence, polarization and collective behavior can be studied with the same seriousness as neural maps or urban location choices.
Emergence of polarization in networks of large language model agents | Nature Communications
The editorial voice is quiet and academic. By relying on titles, sources and breadth rather than commentary, the topic lets papers from arXiv, Nature-family journals, Science, PNAS and APS form a living literature map for researchers who already know how to read signals in the field.
Social Physics: A manifesto
The conference topic turns the account into an infrastructure service for the complexity community. It tracks flagship gatherings, network-science meetings, artificial-life events, applied schools and smaller workshops with a practical eye for participation.
The 2027 Conference on Complex Systems CCS2027
Its value is temporal as much as thematic. Deadlines, locations and calls matter here, and the selection favors official event pages over secondary coverage, making the topic useful for researchers deciding where to submit, meet or learn.
Deadline extended: CCS 2026: The 2026 Conference on Complex Systems @ Binghamton, NY, USA
The range is international and field-wide: Europe, North America and Asia appear alongside schools on learning, computation, economics, health and self-organization. The result is a calendar of complexity as a social system in motion.
GOettingen EMergent Minds: Winter School on Learning and Computation in Brains and Machines
CxBooks extends the same map-making instinct into the slower rhythm of books. It follows complexity science as a library of synthesis, where new titles bring together emergence, uncertainty, evolution, cities, economies, consciousness and artificial life.
The Science of the New, by Vittorio Loreto, Vito D P Servedio, Francesca Tria
The topic is especially strong where theory meets society. Books on tipping points, collective action and evolving economies sit beside systems science for business and urban cognition, showing a field that wants to explain both nature and institutions.
Tipping Out of Trouble: How Societies Transformed and How We Can Do So Again, by Marten Scheffer
Its bibliographic style is spare, but the source pattern is revealing. Springer, MIT Press, Cambridge, Princeton, Routledge and Oxford give the topic the feel of a long shelf of conceptual tools rather than a stream of news.
Perspectives on Machine Consciousness | Calum Chace, Ted Lappas