Evolution of spatial structure, passing network patterns, and gameplay intensity in elite women’s and men’s football (2020–2025) | Scientific Reports

Rebecca Carstens, Raj Deshpande, Pau Esteve, Nicoló Fidelibus, Sara Linde Neven, Ramona Ottow, Lokamruth K.R., Paula Rodríguez-Sánchez, Luca Santagata, Javier M. Buldú, Brennan Klein & Maddalena Torricelli
Scientific Reports (2026)

Elite football is believed to have evolved in recent years, yet systematic evidence for the pace and form of that change remains sparse. Drawing on event-level records for 13,018 matches across ten top-tier men’s and women’s leagues in England, Spain, Germany, Italy, and the United States (2020–2025), we quantify match dynamics through two complementary lenses: conventional performance statistics and pitch-passing networks that track ball movement across spatial regions of the field. Between 2020 and 2025, average passing volume, pass accuracy, and the proportion of passes made under pressure all increased, with the largest year-on-year changes occurring in women’s competitions. Network measures reveal that normalized outreach decreased, indicating teams increasingly concentrate ball circulation into shorter-range passing connections rather than wide spatial distribution. These trends are consistent across countries and tiers, yet persistent national differences indicate that stylistic diversity remains. Notably, women’s competitions exhibit stronger rates of change across most metrics, consistent with an accelerating professionalization, while the systematic decline in network outreach across all competitions is consistent with a sport-wide shift toward shorter, more concentrated passing structures.

Read the full article at: www.nature.com

Facilitating credit is the most important function of Money: A role for Bitcoin?

Klaus Jaffe

Money serves several roles: a medium of exchange to buy and sell without bartering; a unit of account to price goods consistently; a store of value to save purchasing power over time; a means to defer payment of future obligations like credit or loans. An agent based computer simulation program determine quantitatively the relative importance of these services. The main results showed that money for credit was by far the feature that achieved the largest overall production of wealth in the simulated societies. A conclusion from this study suggests that fomenting the use of internationally tradable currencies such as Bitcoin seems to be most promising pathway for international economic growth in the near future.

Read the full article at: papers.ssrn.com

FORESIGHTERS Doctoral Programme

Queen’s University Belfast is delighted to launch the recruitment process for 20 Early-Stage Researchers (ESRs) as part of its Foresighters Doctoral Training Programme. This offers an exceptional opportunity for future research leaders to access an innovative programme of doctoral training at one of the UK’s leading universities and engage in high impact, inter-disciplinary research with a wide range of non-academic partners.

FORESIGHTERS (Future ORiEnted Skills, Innovation for Governance for Health, Technology, EneRgy, citieS and creativity) offers unique opportunities to build a future research career that tackles complex societal problems. While researchers will be based in academic units across the university, from engineering, humanities, social science and the arts, they will be working within one of 5 interdisciplinary research themes (Health, Technology, Energy, Future Cities, and Creativity). The cohort of researchers will be bound by a common perspective and training in Futures Thinking and Futures Literacy and will develop the skills and capabilities to understand, imagine, and critically use different ideas about the future to better understand key challenges. In addition to advanced training offered by the Thomas Moran Graduate School, FORESIGHTERS ESRs will be trained in skills for anticipating change and using multiple possible futures to stimulate reflection, creativity, resilience and focus for contemporary action. The training programme also has a strong emphasis on the development of sustainable, diverse, and equitable research environments.

More at: www.qub.ac.uk

Thermodynamic efficiency of self-organisation in nonequilibrium steady states

Qianyang Chen, Mikhail Prokopenko

Active matter generates order or patterns through nonequilibrium dynamics. An open research challenge is to determine how efficiently a nonequilibrium self-organising system can convert consumed energy into macroscopic order. We study an information-theoretic quantity that directly addresses this challenge by estimating the entropy reduction induced by a small control-parameter perturbation, relative to the generalised work required for the perturbation. This quantity has previously been considered mainly in an equilibrium or near-equilibrium context, and here we extend this framework and apply it to two nonequilibrium self-organising systems: persistent and active Ising models. We observe that the thermodynamic efficiency of nonequilibrium systems maximises at phase transitions, as in equilibrium systems. Furthermore, we compare thermodynamic efficiency and inferential efficiency across control parameters. While these two quantities are equal in equilibrium as a consequence of the fluctuation-dissipation theorem, we report that they diverge out of equilibrium, and the gap reflects how far the system is from equilibrium.

Read the full article at: arxiv.org

Why AI Isn’t Going to Become Conscious | Anil Seth


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We see consciousness in AI the same way we see faces in clouds, says neuroscientist Anil Seth. He explores the all-too-human tendency to project inner life onto machines that are brilliant mimics, not sentient beings, and gives a definitive answer to the urgent question: Will AI ever gain consciousness?

Watch at: www.youtube.com