Mastodawn

roger cremades at bsky Aug 20, 2024

Science Scholar Aug 16, 2024

Why do researchers often prefer safe over risky projects? Explaining risk aversion in science https://phys.org/news/2024-08-safe-risky-aversion-science.html #science

Why do researchers often prefer safe over risky projects? Explaining risk aversion in science

A mathematical framework that builds on the economic theory of hidden-action models provides insight into how the unobservable nature of effort and risk shapes investigators' research strategies and the incentive structures within which they work, according to a study published August 15 in PLOS Biology by Kevin Gross from North Carolina State University, U.S., and Carl Bergstrom from the University of Washington, U.S.

Phys.org

roger cremades at bsky Aug 16, 2024

Our urban consumption Ecological Momentary Assessments are providing first fruits, fresh knowledge about how contextual factors influence decisions: in urban areas, the likelihood of eating vegetarian decreases when people are happy, and increases when people are more relaxed.
✍️ https://doi.org/10.1016/j.jenvp.2024.102403

Green Meal? The role of Situational Contexts for real-time Vegetarian Meal Choices

This study addresses the urgent need to decrease meat consumption by untangling in which situations urban citizens opt for vegetarian meals over meals…

roger cremades at bsky Sep 11, 2023

Quo vadis #SDGs? What about the post-2030 global sustainability agenda? Here with
@WUR
students and colleagues, envisioning a cloud of pathways towards a safe, just and (planetary) healthy #FOODSYSTEM for 2100!

roger cremades at bsky Aug 3, 2023

Our @PNASNews about #pollution economics indirectly sets the #climatechange #adaptation scene in Asian agriculture: air pollution is compromising the benefits of irrigation expansion

https://www.pnas.org/eprint/ABAUJ59UZIXTJ7Q5WVPK/full

roger cremades at bsky Jun 25, 2023

The great @giorgioparisi: ‘There’s a lack of trust in science – we need to show how it’s done’

https://www.theguardian.com/science/2023/jun/25/giorgio-parisi-nobel-prize-physics-spin-glasses-complex-systems-in-a-flight-of-starlings

If I may, we also need to show how mediocrity appears as by-product.

Nobel prize winner Giorgio Parisi: ‘There’s a lack of trust in science – we need to show how it’s done’

The Italian physicist puts the fiendishly tricky theory of complex systems in terms of birds and bus rides, as his new book aims to make his branch of science accessible to all

The Guardian

roger cremades at bsky Jun 21, 2023

Researching food systems? Working from a quantitative complex systems angle? We are preparing a regular "Complexity in Food Systems" annual workshop, please drop me a line or disseminate if you'd like to join.

roger cremades at bsky Jun 9, 2023

Petter Holme May 31, 2023

A new blog post about a problem with the way we present emergence … and a possible solution. 📄🌠
https://petterhol.me/2023/05/31/a-better-way-of-thinking-about-emergence/

A better way of thinking about emergence

In this armchair-philosophy blog post, I’ll argue that we need to talk about emergence with scientific detachment, and one way of doing that would be to emphasize its role in explanation rather tha…

Petter Holme

roger cremades at bsky Jun 9, 2023

Stephen Davies (he/him)Jun 8, 2023

Back from Edinburgh.

I'm sure I'm not the first one to observe that in a true city - where more of your daily needs are satisfiable within a shorter physical proximity - you're more likely to re-encounter the same people. And this is an incentive for everyone to be friendlier and more engaging: fewer encounters are just transactional one-offs.

It's a paradox: there are far more people within a given square mile, but instead of feeling more anonymous, the whole experience feels friendlier.

roger cremades at bsky Apr 27, 2023

Mason Porter Apr 26, 2023

"Information Theory for Complex Systems Scientists" (by Thomas F. Varley): https://arxiv.org/abs/2304.12482

"In this review, we aim to provide an accessible introduction to the core of modern information theory, aimed specifically at aspiring (and established) complex systems scientists."

Information Theory for Complex Systems Scientists

In the 21st century, many of the crucial scientific and technical issues facing humanity can be understood as problems associated with understanding, modelling, and ultimately controlling complex systems: systems comprised of a large number of non-trivially interacting components whose collective behaviour can be difficult to predict. Information theory, a branch of mathematics historically associated with questions about encoding and decoding messages, has emerged as something of a lingua franca for those studying complex systems, far exceeding its original narrow domain of communication systems engineering. In the context of complexity science, information theory provides a set of tools which allow researchers to uncover the statistical and effective dependencies between interacting components; relationships between systems and their environment; mereological whole-part relationships; and is sensitive to non-linearities missed by commonly parametric statistical models. In this review, we aim to provide an accessible introduction to the core of modern information theory, aimed specifically at aspiring (and established) complex systems scientists. This includes standard measures, such as Shannon entropy, relative entropy, and mutual information, before building to more advanced topics, including: information dynamics, measures of statistical complexity, information decomposition, and effective network inference. In addition to detailing the formal definitions, in this review we make an effort to discuss how information theory can be interpreted and develop the intuition behind abstract concepts like "entropy," in the hope that this will enable interested readers to understand what information is, and how it is used, at a more fundamental level.

arXiv.org

roger cremades at bsky Apr 27, 2023

Tiago Peixoto Apr 26, 2023

Kill it with fire.

QT 0xgaut: AI is now indistinguishable from reality.

It's hard to believe, but this ad was AI generated. It's not real.

The future is here.