2,349,129 research outputs found
Measuring impact of academic research in computer and information science on society
Academic research in computer & information science (CIS) has
contributed immensely to all aspects of society. As academic
research today is substantially supported by various government
sources, recent political changes have created ambivalence
amongst academics about the future of research funding. With
uncertainty looming, it is important to develop a framework to
extract and measure the information relating to impact of CIS
research on society to justify public funding, and demonstrate the
actual contribution and impact of CIS research outside academia.
A new method combining discourse analysis and text mining of a
collection of over 1000 pages of impact case study documents
written in free-text format for the Research Excellence
Framework (REF) 2014 was developed in order to identify the
most commonly used categories or headings for reporting impact
of CIS research by UK Universities (UKU). According to the
research reported in REF2014, UKU acquired 83 patents in
various areas of CIS, created 64 spin-offs, generated £857.5
million in different financial forms, created substantial
employment, reached over 6 billion users worldwide and has
helped save over £1 billion Pounds due to improved processes etc.
to various sectors internationally, between 2008 and 2013
Field Programmable Gate Arrays (FPGAs) II
This Edited Volume Field Programmable Gate Arrays (FPGAs) II is a collection of reviewed and relevant research chapters, offering a comprehensive overview of recent developments in the field of Computer and Information Science. The book comprises single chapters authored by various researchers and edited by an expert active in the Computer and Information Science research area. All chapters are complete in itself but united under a common research study topic. This publication aims at providing a thorough overview of the latest research efforts by international authors on Computer and Information Science, and open new possible research paths for further novel developments
Automatically assembling a full census of an academic field
The composition of the scientific workforce shapes the direction of
scientific research, directly through the selection of questions to
investigate, and indirectly through its influence on the training of future
scientists. In most fields, however, complete census information is difficult
to obtain, complicating efforts to study workforce dynamics and the effects of
policy. This is particularly true in computer science, which lacks a single,
all-encompassing directory or professional organization. A full census of
computer science would serve many purposes, not the least of which is a better
understanding of the trends and causes of unequal representation in computing.
Previous academic census efforts have relied on narrow or biased samples, or on
professional society membership rolls. A full census can be constructed
directly from online departmental faculty directories, but doing so by hand is
prohibitively expensive and time-consuming. Here, we introduce a topical web
crawler for automating the collection of faculty information from web-based
department rosters, and demonstrate the resulting system on the 205
PhD-granting computer science departments in the U.S. and Canada. This method
constructs a complete census of the field within a few minutes, and achieves
over 99% precision and recall. We conclude by comparing the resulting 2017
census to a hand-curated 2011 census to quantify turnover and retention in
computer science, in general and for female faculty in particular,
demonstrating the types of analysis made possible by automated census
construction.Comment: 11 pages, 6 figures, 2 table
Quantum Communication
Quantum communication, and indeed quantum information in general, has changed
the way we think about quantum physics. In 1984 and 1991, the first protocol
for quantum cryptography and the first application of quantum non-locality,
respectively, attracted a diverse field of researchers in theoretical and
experimental physics, mathematics and computer science. Since then we have seen
a fundamental shift in how we understand information when it is encoded in
quantum systems. We review the current state of research and future directions
in this new field of science with special emphasis on quantum key distribution
and quantum networks.Comment: Submitted version, 8 pg (2 cols) 5 fig
Settings, arenas and boundary objects: socio-material framings of information practices
This paper presents a theoretical framework for examining information practices in socio-material contexts that draws on research in the library and information science and human computer interaction (human computer interaction) communities
The normalized Laplacian spectrum of subdivisions of a graph
Determining and analyzing the spectra of graphs is an important and exciting research topic in mathematics science and theoretical computer science. The eigenvalues of the normalized Laplacian of a graph provide information on its structural properties and also on some relevant dynamical aspects, in particular those related to random walks. In this paper, we give the spectra of the normalized Laplacian of iterated subdivisions of simple connected graphs. As an example of application of these results we find the exact values of their multiplicative degree-Kirchhoff index, Kemeny's constant and number of spanning trees.Postprint (published version
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