Top 10 t.u-tokyo.ac.jp Competitors

jst.go.jp

POLICY DOORは、研究と政策と社会をつなぐメディアです。シーズとしての科学を現実の課題解決に活用しようとする研究について発信します。

jstage.jst.go.jp

J-STAGEが主催するセミナー等の開催情報をお知らせしています。

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.

scholar.google.co.jp

google scholar provides a simple way to broadly search for scholarly literature. search across a wide variety of disciplines and sources: articles, theses, books, abstracts and court opinions.

researchmap.jp

researchmapご利用者のみなさま 国立情報学研究所からの依頼で、「『オープンサイエンスの状況等に関するアンケート調査』へのご協力のお願い」をご案内します。アンケートに...

iimc.kyoto-u.ac.jp

Please contact the ICT Support Center via your departmental administrative officer to repair the information on the magnetic stripe.

seas.harvard.edu

SEAS welcomes 404 second-year concentrators at Convocation

cs.cornell.edu

A spider-like robot developed by researchers from North Carolina State and Cornell University may be the future of robot-assisted farming. A fleet of nimble, coordinated drones developed by Syracuse University could help save lives after natural disasters. And fresh machine learning (ML) models developed at Cornell could help train robots to detect their own missteps by reading reactions from human teammates, like verbal commands or even frustration.

math.mit.edu

the official website for the department of mathematics at mit