Top 10 academiccommons.columbia.edu Competitors

academicworks.cuny.edu

cuny academic works is a service of the cuny libraries dedicated to collecting and providing access to the research, scholarship, and creative and pedagogical work of the city university of new york. in service to cuny’s mission as a public university, content in academic works is freely available to all.

digitalcommons.usf.edu

digital commons, a service of the university of south florida (usf) tampa library, is a virtual showcase for usf's research and creative energies. members of the usf academic community are encouraged to contribute any completed scholarship for long-term preservation and worldwide electronic accessibility. the usf tampa library digital commons initiative strives to develop and encourage research collaboration and initiatives throughout all areas of campus. we commit to assisting faculty and students in all stages of the deposit process, to managing their work to optimize access/readership, and to ensure long-term preservation. long-term preservation and increasing accessibility will increase citation rates and highlight the research accomplishes of this campus. digital commons will have a direct impact on the university’s four strategic priorities to: "produce well educated global citizens; change lives for the better, improve health, and foster sustainable development and positive societal change; create new partnerships to build a strong and sustainable future for florida in the global economy; pursue a more secure economic base, greater operational and resource efficiencies, and increased transparency in its business practices."

repositorio.usp.br

Memória documental da produção científica, técnica e artística gerada nas Unidades da Universidade de São Paulo.

aisel.aisnet.org

association for information systems (ais) elibrary

semanticscholar.org

Semantic Scholar uses groundbreaking AI and engineering to understand the semantics of scientific literature to help Scholars discover relevant research.

arxiv.org

We perform a behavioral experiment of karma, a class of mechanisms for repeated resource allocation with attractive fairness and efficiency properties, in theory. Individuals in these mechanisms bid non-tradable credits that flow from resource consumers to yielders, like karma. Human subjects recruited on Amazon MTurk are repeatedly and randomly paired to bid karma according to time-varying and stochastic individual preferences or urgency to acquire resources. Treatments varied in the dynamic urgency process (frequent moderate urgency versus sporadic high urgency) and the richness of the bidding scheme (binary versus full range). Results are benchmarked against random allocation, and karma achieves a (almost) Pareto improvement over random, despite the MTurk subjects deviating significantly from the theoretically optimal Nash bidding policy. Maximum improvement is attained by subjects that deviate from Nash by up to one karma bid unit on average, and positive improvement is attained with average deviations of up to 3-4 bid units. These findings hold across all treatments, among which no significant differences are found, with the exception of the sporadic high urgency process with binary bidding treatment being (weakly) favorable over others. These results offer behaviorally robust lower bounds for the expected performance of karma in human populations. They also provide guidance for future testing and implementation of karma mechanisms in the real world.

pep-web.org

a psychoanalytic library at your fingertips