scispace - formally typeset
Search or ask a question
Institution

City University London

EducationLondon, United Kingdom
About: City University London is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Health care. The organization has 5735 authors who have published 17285 publications receiving 453290 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: This work proposes an approach inspired by geographical 'mashups' in which freely-available functionality and data are loosely but flexibly combined using de facto exchange standards to allow Google Earth to be used for visual synthesis and interaction with encodings described in KML.
Abstract: Exploratory visual analysis is useful for the preliminary investigation of large structured, multifaceted spatio-temporal datasets. This process requires the selection and aggregation of records by time, space and attribute, the ability to transform data and the flexibility to apply appropriate visual encodings and interactions. We propose an approach inspired by geographical 'mashups' in which freely-available functionality and data are loosely but flexibly combined using de facto exchange standards. Our case study combines MySQL, PHP and the LandSerf GIS to allow Google Earth to be used for visual synthesis and interaction with encodings described in KML. This approach is applied to the exploration of a log of 1.42 million requests made of a mobile directory service. Novel combinations of interaction and visual encoding are developed including spatial 'tag clouds', 'tag maps', 'data dials' and multi-scale density surfaces. Four aspects of the approach are informally evaluated: the visual encodings employed, their success in the visual exploration of the dataset, the specific tools used and the 'mashup' approach. Preliminary findings will be beneficial to others considering using mashups for visualization. The specific techniques developed may be more widely applied to offer insights into the structure of multifarious spatio-temporal data of the type explored here.

188 citations

Journal ArticleDOI
TL;DR: Banet-Weiser, Rosalind Gill and Catherine Rottenberg conduct a three-way "conversation" in which they all take turns outlining how they understand the relation.
Abstract: In this unconventional article, Sarah Banet-Weiser, Rosalind Gill and Catherine Rottenberg conduct a three-way ‘conversation’ in which they all take turns outlining how they understand the relation...

188 citations

Posted Content
TL;DR: In this article, different econometric methodologies to assess the relationship between financial development and growth are reviewed, using the example of a simple Ordinary Least Squares estimation.
Abstract: This paper reviews different econometric methodologies to assess the relationship between financial development and growth. It illustrates the identification problem, which is at the center of the finance and growth literature, using the example of a simple Ordinary Least Squares estimation. It discusses cross-sectional and panel instrumental variable approaches to overcome the identification problem. It presents the time-series approach, which focuses on the forecast capacity of financial development for future growth rates, and differences-in-differences techniques that try to overcome the identification problem by assessing the differential effect of financial sector development across states with different policies or across industries with different needs for external finance. Finally, it discusses firm-level and household approaches that allow analysts to dig deeper into the channels and mechanisms through which financial development enhances growth and welfare, but pose their own methodological challenges.

188 citations

Journal ArticleDOI
TL;DR: A systematic review of studies that mentioned both the CFIR and the TDF, were written in English, were peer-reviewed, and reported either a protocol or results of an empirical study in MEDLINE/PubMed, PsycInfo, Web of Science, or Google Scholar was undertaken.
Abstract: Over 60 implementation frameworks exist. Using multiple frameworks may help researchers to address multiple study purposes, levels, and degrees of theoretical heritage and operationalizability; however, using multiple frameworks may result in unnecessary complexity and redundancy if doing so does not address study needs. The Consolidated Framework for Implementation Research (CFIR) and the Theoretical Domains Framework (TDF) are both well-operationalized, multi-level implementation determinant frameworks derived from theory. As such, the rationale for using the frameworks in combination (i.e., CFIR + TDF) is unclear. The objective of this systematic review was to elucidate the rationale for using CFIR + TDF by (1) describing studies that have used CFIR + TDF, (2) how they used CFIR + TDF, and (2) their stated rationale for using CFIR + TDF. We undertook a systematic review to identify studies that mentioned both the CFIR and the TDF, were written in English, were peer-reviewed, and reported either a protocol or results of an empirical study in MEDLINE/PubMed, PsycInfo, Web of Science, or Google Scholar. We then abstracted data into a matrix and analyzed it qualitatively, identifying salient themes. We identified five protocols and seven completed studies that used CFIR + TDF. CFIR + TDF was applied to studies in several countries, to a range of healthcare interventions, and at multiple intervention phases; used many designs, methods, and units of analysis; and assessed a variety of outcomes. Three studies indicated that using CFIR + TDF addressed multiple study purposes. Six studies indicated that using CFIR + TDF addressed multiple conceptual levels. Four studies did not explicitly state their rationale for using CFIR + TDF. Differences in the purposes that authors of the CFIR (e.g., comprehensive set of implementation determinants) and the TDF (e.g., intervention development) propose help to justify the use of CFIR + TDF. Given that the CFIR and the TDF are both multi-level frameworks, the rationale that using CFIR + TDF is needed to address multiple conceptual levels may reflect potentially misleading conventional wisdom. On the other hand, using CFIR + TDF may more fully define the multi-level nature of implementation. To avoid concerns about unnecessary complexity and redundancy, scholars who use CFIR + TDF and combinations of other frameworks should specify how the frameworks contribute to their study. PROSPERO CRD42015027615

188 citations

Journal ArticleDOI
TL;DR: In this article, the authors develop a model linking specific microinteraction dynamics between members of different institutional fields and the genesis of new practices, and identify two microlevel conditions that enable the new activities and ideas developed in interstitial spaces to be constituted into new practices.
Abstract: I develop a model linking specific microinteraction dynamics between members of different institutional fields and the genesis of new practices. The model centers on the concept of interstitial spaces—that is, small-scale settings where individuals from different fields interact occasionally and informally around common activities to which they devote limited time (e.g., hobbyist clubs, hangouts, workshops, meet-ups). I argue that the features of interstitial spaces (e.g., their institutional diversity and their occasional and informal nature) facilitate the individuals interacting in these settings to temporarily break free from existing institutions and experiment collectively with new activities and ideas. However, these very same features hinder the constitution of such new activities and ideas into new practices. I identify two microlevel conditions that enable the new activities and ideas developed in interstitial spaces to be constituted into new practices: the emergence of successful interaction r...

187 citations


Authors

Showing all 5822 results

NameH-indexPapersCitations
Andrew M. Jones10376437253
F. Rauscher10060536066
Thorsten Beck9937362708
Richard J. K. Taylor91154343893
Christopher N. Bowman9063938457
G. David Batty8845123826
Xin Zhang87171440102
Richard J. Cook8457128943
Hugh Willmott8231026758
Scott Reeves8244127470
Sarah-Jayne Blakemore8121129660
Mats Alvesson7826738248
W. John Edmunds7525224018
Sheng Chen7168827847
Christopher J. Taylor7141530948
Network Information
Related Institutions (5)
University of Manchester
168K papers, 6.4M citations

93% related

University of Sheffield
102.9K papers, 3.9M citations

92% related

University of Southampton
99.4K papers, 3.4M citations

92% related

University of Nottingham
119.6K papers, 4.2M citations

92% related

University of Birmingham
115.3K papers, 4.3M citations

91% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
2022188
20211,030
20201,011
2019939
2018879