1,720,984 research outputs found
Mobilising UK Data and AI for All with a National Grid of Civic Learning Systems
This is a response from the Northern Health Science Alliance (NHSA) andpartners to the Science, Innovation and Technology Committee inquiryinto how research and innovation can boost regional economic growthand help to deliver the Government’s Missions
Mobilising UK Data and AI for All with a National Grid of Civic Learning Systems
This is a response from the Northern Health Science Alliance (NHSA) andpartners to the Science, Innovation and Technology Committee inquiryinto how research and innovation can boost regional economic growthand help to deliver the Government’s Missions
Mobilising UK Data and AI for All with a National Grid of Civic Learning Systems
This is a response from the Northern Health Science Alliance (NHSA) and
partners to the Science, Innovation and Technology Committee inquiry
into how research and innovation can boost regional economic growth
and help to deliver the Government’s Missions.1,2
We are an alliance of universities and NHS organisations plus wider civic
partners from the North of England with experience in mobilising data,
analytics and artificial intelligence (AI) to protect and improve health,
optimise public services, and grow economies with industry.
Our response to the inquiry considers the interdependence of health
and wealth and shows how a network of devolved regions, each with a
critical mass of efficient data uses, with public trust, could form a national
grid of innovation that advances the UK’s global economic interests while
reducing regional inequalities
Mobilising UK Data and AI for All with a National Grid of Civic Learning Systems
Aim:
We propose regional incentives and national infrastructure developments to build a national
grid of civic learning systems – the Grid – harnessing multi-source data for public service
innovation, science, AI engineering and inclusive economic growth.
Objectives:
The following objectives establish the critical national structural factors required to enable a
unified network of civic data and learning systems across the UK. These components will
serve as the foundational architecture – analogous to power lines and pylons connecting
civic data-action ‘power stations’ on a national grid. This infrastructure will facilitate secure
data sharing, standardised practices, and collaborative innovation while ensuring local
autonomy and flexibility to address regional needs within a diameter of trust (public trust and
practical joint accountability and mutual aid between organisations). By creating these
essential connecting elements, we can transform currently isolated data initiatives into an
interconnected ecosystem that drives public service improvement, scientific advancement,
and economic growth through data-driven innovation
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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