91 research outputs found
Introducing SpatialGridBuilder: A new system for creating geo-coded datasets
Researchers in the conflict research community have become increasingly aware that we can no longer depend on state-aggregated data. Numerous factors at the substate level affect the nature of human interactions, so if we really want to understand conflict, we need to find more appropriate units of analysis. However, while many conflict researchers have realized this, actually taking the next step and performing data analysis on spatial data grids has remained a rather elusive goal for many because of the difficulty of learning the new techniques to perform such analyses. This paper introduces SpatialGridBuilder, a new, freely available, open-source system with the goal of empowering conflict researchers with no background in GIS methods to start their own spatial analyses. SpatialGridBuilder allows the researcher to: (a) create entirely new spatial datasets, based on the needs of their own research; (b) import their own spatial data; (c) easily add a range of important variables to the datasets, including commonly used conflict variables, plus new variables that have not been presented before; and (d) visualize graphical renderings of this data. Having done this, SpatialGridBuilder will then export the dataset for the researcher to analyse using conventional statistical methods. This article introduces the new program, and demonstrates how it can be used to set up such a statistical analysis. It also shows how different results can be achieved by building grids of different resolutions, thereby encouraging researchers to choose grid resolutions appropriate to their research questions and data. The article also introduces a novel means of determining infrastructure complexity, using Google maps
Multidimensional Well-Being and Inequality Across the European Regions with Alternative Interactions Between the Well-Being Dimensions
Compelling truth:Legal protection of the infosphere against big data spills
The paper explores whether legal and ethical concepts that have been used to protect the natural environment can also be leveraged to protect the ‘infosphere’, a neologism used by Luciano Floridi to characterize the totality of the informational environment. We focus, in particular, on the interaction between allocation of (intellectual) property rights and ‘communication duties’, in particular, data breach notification duties. This article is part of the themed issue ‘The ethical impact of data science’
Bridging the legitimacy gap—translating theory into practical signposts for legitimate flood risk governance
Legitimacy is widely regarded as a founding principle of ‘good’ and effective governance, yet despite intense academic debate and policy discourse, the concept remains conceptually confusing and poorly articulated in practice. To bridge this gap, this research performed an interpretive thematic analysis of academic scholarship across public administration, public policy, law, political science and geography. Three core themes were identified in relation to representative deliberation, procedural and distributive equity and justice, and socio-political acceptability, with numerous sub-themes therein. In an attempt to clarify conceptual confusion, this paper grounds these theoretical debates in the context of flood risk governance where numerous legitimacy dilemmas exist. A number of questions are presented as conceptual ‘sign posts’ to encourage reflexive governance in the future. Thus, more broadly, we assert the importance of bringing legitimacy to the forefront of contemporary flood risk governance discourse and practice, moving beyond the realm of academic reflection
A framework to move forward on the path to eco-innovation in the construction industry: implications to improve firms´ sustainable orientation
This paper examines key aspects in the innovative behavior of the
construction firms that determine their environmental orientation while innovating.
Structural equation modeling was used and data of 222 firms retrieved from the
Spanish Technological Innovation Panel (PITEC) for 2010 to analyse the drivers of
environmental orientation of the construction firms during the innovation process.
The results show that the environmental orientation is positively affected by the
product and process orientation of construction firms during the innovation process.
Furthermore, the positive relation between the importance of market information
sources and environmental orientation, mediated by process and product orientation,
is discussed. Finally, a model that explains these relations is proposed and validated.
Results have important managerial implications for those companies worried about
their eco-innovative focus as the types of actions and relations within firms most
suitable for improving their eco-innovative orientation are highlighted.The authors would like to thank the Spanish Economy and Competitiveness Ministry for its support through the research project (EC02011-27369) and also the Universitat Politecnica de Valencia (SP20140647).Segarra Oña, MDV.; Peiró Signes, A.; Cervelló Royo, RE. (2015). A framework to move forward on the path to eco-innovation in the construction industry: implications to improve firms´ sustainable orientation. Science and Engineering Ethics. 21(6):1469-1484. https://doi.org/10.1007/s11948-014-9620-2S14691484216Amara, N., & Landry, R. (2005). Sources of information as determinants of novelty of innovation in manufacturing firms: evidence from the 1999 statistics Canada innovation survey. Technovation, 25(3), 245–259.Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two- step approach. Psychological Bulletin, 103(3), 411–423.Ang, G. K. I. (2004). 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Repurposing NGO data for better research outcomes: A scoping review of the use and secondary analysis of NGO data in health policy and systems research
Background Non-government organisations (NGOs) collect and generate vast amounts of potentially rich data, most of which are not used for research purposes. Secondary analysis of NGO data (their use and analysis in a study for which they were not originally collected) presents an important but largely unrealised opportunity to provide new research insights in critical areas including the evaluation of health policy and programmes. Methods A scoping review of the published literature was performed to identify the extent to which secondary analysis of NGO data has been used in health policy and systems research (HPSR). A tiered analytic approach provided a comprehensive overview and descriptive analyses of the studies which: 1) used data produced or collected by or about NGOs; 2) performed secondary analysis of the NGO data (beyond use of an NGO report as a supporting reference); 3) used NGO-collected clinical data. Results Of the 156 studies which performed secondary analysis of NGO-produced or collected data, 64% (n=100) used NGO-produced reports (e.g. to critique NGO activities and as a contextual reference) and 8% (n=13) analysed NGO-collected clinical data.. Of the studies, 55% investigated service delivery research topics, with 48% undertaken in developing countries and 17% in both developing and developed. NGO-collected clinical data enabled HPSR within marginalised groups (e.g. migrants, people in conflict-affected areas), with some limitations such as inconsistencies and missing data. Conclusion We found evidence that NGO-collected and produced data are most commonly perceived as a source of supporting evidence for HPSR and not as primary source data. However, these data can facilitate research in under-researched marginalised groups and in contexts that are hard to reach by academics, such as conflict-affected areas. NGO–academic collaboration could help address issues of NGO data quality to facilitate their more widespread use in research. Their use could enable relevant and timely research in the areas of health policy, programme evaluation and advocacy to improve health and reduce health inequalities, especially in marginalised groups and developing countries
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Robust image analysis with sparse representation on quantized visual features
10.1109/TIP.2012.2219543IEEE Transactions on Image Processing223860-871IIPR
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