Author: cxdig

From the origin of life to pandemics: emergent phenomena in complex systems

Oriol Artime and Manlio De Domenico

Phil. Trans. Roy. Soc. A, Volume 380 Issue 2227

Theme issue ‘Emergent phenomena in complex physical and socio-technical systems: from cells to societies’

When a large number of similar entities interact among each other and with their environment at a low scale, unexpected outcomes at higher spatio-temporal scales might spontaneously arise. This non-trivial phenomenon, known as emergence, characterizes a broad range of distinct complex systems—from physical to biological and social—and is often related to collective behaviour. It is ubiquitous, from non-living entities such as oscillators that under specific conditions synchronize, to living ones, such as birds flocking or fish schooling. Despite the ample phenomenological evidence of the existence of systems’ emergent properties, central theoretical questions to the study of emergence remain unanswered, such as the lack of a widely accepted, rigorous definition of the phenomenon or the identification of the essential physical conditions that favour emergence. We offer here a general overview of the phenomenon of emergence and sketch current and future challenges on the topic. Our short review also serves as an introduction to the theme issue Emergent phenomena in complex physical and socio-technical systems: from cells to societies, where we provide a synthesis of the contents tackled in the issue and outline how they relate to these challenges, spanning from current advances in our understanding on the origin of life to the large-scale propagation of infectious diseases.

Read the full article at: royalsocietypublishing.org

Physicists Trace the Rise in Entropy to Quantum Information

The second law of thermodynamics is among the most sacred in all of science, but it has always rested on 19th century arguments about probability. New arguments trace its true source to the flows of quantum information.

Read the full article at: www.quantamagazine.org

IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2022)

IEEE SSCI is an established flagship annual international series of symposia on computational intelligence sponsored by the IEEE Computational Intelligence Society. The 2022 IEEE Symposium Series on Computational Intelligence (IEEE SSCI) will be held in Singapore, from December 4th to December 7th, 2022. IEEE SSCI 2022 promotes and stimulates discussion on the latest theory, algorithms, applications and emerging topics on computational intelligence. The IEEE SSCI co-locates multiple symposia under one roof, each dedicated to a specific topic in the CI domain, thereby encouraging cross-fertilization of ideas and providing a unique platform for top researchers, professionals, and students from all around the world to discuss and present their findings. IEEE SSCI 2022 will feature keynote addresses, tutorials, panel discussions and special sessions, all of which are open to all participants

More at: ieeessci2022.org

The penumbra of open source: projects outside of centralized platforms are longer maintained, more academic and more collaborative

Milo Z. Trujillo, Laurent Hébert-Dufresne & James Bagrow 

EPJ Data Science volume 11, Article number: 31 (2022)

GitHub has become the central online platform for much of open source, hosting most open source code repositories. With this popularity, the public digital traces of GitHub are now a valuable means to study teamwork and collaboration. In many ways, however, GitHub is a convenience sample, and may not be representative of open source development off the platform. Here we develop a novel, extensive sample of public open source project repositories outside of centralized platforms. We characterized these projects along a number of dimensions, and compare to a time-matched sample of corresponding GitHub projects. Our sample projects tend to have more collaborators, are maintained for longer periods, and tend to be more focused on academic and scientific problems.

Read the full article at: epjdatascience.springeropen.com