1,299 research outputs found
Protocols for Scholarly Communication
CERN, the European Organization for Nuclear Research, has operated an
institutional preprint repository for more than 10 years. The repository
contains over 850,000 records of which more than 450,000 are full-text OA
preprints, mostly in the field of particle physics, and it is integrated with
the library's holdings of books, conference proceedings, journals and other
grey literature. In order to encourage effective propagation and open access to
scholarly material, CERN is implementing a range of innovative library services
into its document repository: automatic keywording, reference extraction,
collaborative management tools and bibliometric tools. Some of these services,
such as user reviewing and automatic metadata extraction, could make up an
interesting testbed for future publishing solutions and certainly provide an
exciting environment for e-science possibilities. The future protocol for
scientific communication should naturally guide authors towards OA publication
and CERN wants to help reach a full open access publishing environment for the
particle physics community and the related sciences in the next few years.Comment: 8 pages, to appear in Library and Information Systems in Astronomy
Faith in the Algorithm, Part 1: Beyond the Turing Test
Since the Turing test was first proposed by Alan Turing in 1950, the primary
goal of artificial intelligence has been predicated on the ability for
computers to imitate human behavior. However, the majority of uses for the
computer can be said to fall outside the domain of human abilities and it is
exactly outside of this domain where computers have demonstrated their greatest
contribution to intelligence. Another goal for artificial intelligence is one
that is not predicated on human mimicry, but instead, on human amplification.
This article surveys various systems that contribute to the advancement of
human and social intelligence
How the Scientific Community Reacts to Newly Submitted Preprints: Article Downloads, Twitter Mentions, and Citations
We analyze the online response to the preprint publication of a cohort of
4,606 scientific articles submitted to the preprint database arXiv.org between
October 2010 and May 2011. We study three forms of responses to these
preprints: downloads on the arXiv.org site, mentions on the social media site
Twitter, and early citations in the scholarly record. We perform two analyses.
First, we analyze the delay and time span of article downloads and Twitter
mentions following submission, to understand the temporal configuration of
these reactions and whether one precedes or follows the other. Second, we run
regression and correlation tests to investigate the relationship between
Twitter mentions, arXiv downloads and article citations. We find that Twitter
mentions and arXiv downloads of scholarly articles follow two distinct temporal
patterns of activity, with Twitter mentions having shorter delays and narrower
time spans than arXiv downloads. We also find that the volume of Twitter
mentions is statistically correlated with arXiv downloads and early citations
just months after the publication of a preprint, with a possible bias that
favors highly mentioned articles.Comment: 15 pages, 7 Figures, 3 Tables. PLoS One, in pres
Do Linguistic Style and Readability of Scientific Abstracts affect their Virality?
Reactions to textual content posted in an online social network show
different dynamics depending on the linguistic style and readability of the
submitted content. Do similar dynamics exist for responses to scientific
articles? Our intuition, supported by previous research, suggests that the
success of a scientific article depends on its content, rather than on its
linguistic style. In this article, we examine a corpus of scientific abstracts
and three forms of associated reactions: article downloads, citations, and
bookmarks. Through a class-based psycholinguistic analysis and readability
indices tests, we show that certain stylistic and readability features of
abstracts clearly concur in determining the success and viral capability of a
scientific article.Comment: Proceedings of the Sixth International AAAI Conference on Weblogs and
Social Media (ICWSM 2012), 4-8 June 2012, Dublin, Irelan
Panel Discussion presentation: Astroinformatics: Linking Scientific Data and Publications
Alberto Pepe, PhD, is a postdoctoral fellow at Harvard University. He will discuss his involvement in the UCLA Center for Embedded Networked Sensing (CENS), scientific collaboration networks, and his current work at Harvard\u27s Center for Astrophysics
WorldWide Telescope in Research and Education
The WorldWide Telescope computer program, released to researchers and the
public as a free resource in 2008 by Microsoft Research, has changed the way
the ever-growing Universe of online astronomical data is viewed and understood.
The WWT program can be thought of as a scriptable, interactive, richly visual
browser of the multi-wavelength Sky as we see it from Earth, and of the
Universe as we would travel within it. In its web API format, WWT is being used
as a service to display professional research data. In its desktop format, WWT
works in concert (thanks to SAMP and other IVOA standards) with more
traditional research applications such as ds9, Aladin and TOPCAT. The WWT
Ambassadors Program (founded in 2009) recruits and trains
astrophysically-literate volunteers (including retirees) who use WWT as a
teaching tool in online, classroom, and informal educational settings. Early
quantitative studies of WWTA indicate that student experiences with WWT enhance
science learning dramatically. Thanks to the wealth of data it can access, and
the growing number of services to which it connects, WWT is now a key linking
technology in the Seamless Astronomy environment we seek to offer researchers,
teachers, and students alike.Comment: 4 pages, 2 figures, describes software available at
worldwidetelescope.or
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