Los 10 principales competidores de carnegiescience.edu

nasonline.org

On Black Hole Friday, we spotlight the work of astrophysicist Chung-Pei Ma, whose research is transforming our understanding of the universe’s biggest black holes. From uncovering giants 20 billion times the mass of the Sun to revealing the complex interplay between galaxies and their supermassive black holes, Ma shows that…

stsci.edu

Review the data quality checklist and frequent asked questions about DrizzlePac.

nsf.gov

NSF's mission is to advance the progress of science, a mission accomplished by funding proposals for research and education made by scientists, engineers, and educators from across the country.

nasa.gov

Microbiology research to protect astronaut health and spacecraft hardware topped the science schedule aboard the International Space Station on Tuesday. Earth observations and life support maintenance rounded out the day for the Expedition 74 trio.

cifar.ca

CIFAR continues to be at the cutting-edge, forecasting the future and enabling groundbreaking discoveries.

science.org.au

On 25 March 2022, the Australian Academy of Science released a position statement on Science and Australia’s Positive Future. In this statement, the Academy calls on the next Australian government to secure Australian jobs and Australian industries with science.

frs-fnrs.be

By supporting the FNRS, you become an essential link in the chain of knowledge. Together, let's advance science, today and for tomorrow.

arxiv.org

A system of non-tradable credits that flow between individuals like karma, hence proposed under that name, is a mechanism for repeated resource allocation that comes with attractive efficiency and fairness properties, in theory. In this study, we test karma in an online experiment in which human subjects repeatedly compete for a resource with time-varying and stochastic individual preferences or urgency to acquire the resource. We confirm that karma has significant and sustained welfare benefits even in a population with no prior training. We identify mechanism usage in contexts with sporadic high urgency, more so than with frequent moderate urgency, and implemented as a simple (binary) karma bidding scheme as particularly effective for welfare improvements: relatively larger aggregate efficiency gains are realized that are (almost) Pareto superior. These findings provide guidance for further testing and for future implementation plans of such mechanisms in the real world.