1,720,962 research outputs found
Evidence-driven policy-making using heterogeneous data - The case of a controlled parking system in Thessaloniki
Policy making in local public administrations is still largely based on intuition rather than being backed up by data and evidence. The goal of this work is to introduce the methodology and software tools for contributing towards transforming the existing intuition-based paradigm of policy making into an evidence-driven approach enabled by heterogeneous sources of data already available in the city. More specifically, methods for data collection, efficient data storage and data analysis are implemented to measure the economic activity, assess the environmental impact and evaluate the social consequences of certain policy decisions. Subsequently, the extracted pieces of evidence are used to inform, advise, monitor, evaluate and revise the decisions made by policy planners. Our contribution in this work is on outlining and deploying an easily extendable system architecture to harmonize and analyze heterogeneous data sources in ways that are found to be useful for policy makers. For evaluating this architecture, we examine the case of a controlled parking system (CPS) in the city of Thessaloniki and try to optimize its operation by balancing effectively between economic growth, environmental protection and citizen satisfaction.Anastasios Papazoglou Chalikias, Ioannis Tsampoulatidis, Filareti Tsalakanidou, Spiros Nikolopoulos, Ioannis Kompatsiaris, Nicos Komninos, Konstantinos Doudouliakis, Georgios Papastergios, Petros Papafilis, Sophia Karkaletsi, and Charalambos Chatzis, "Evidence-driven policy-making using heterogeneous data - The case of a controlled parking system in Thessaloniki", Data & Policy Journal, Vol. 2, E 15, November 2020. (DOI: https://doi.org/10.1017/dap.2020.15
Potentially toxic elements in sediments of an industrialized coastal zone of the Northern Aegean Sea
[EN] Nine sediment samples from Filippos B port, Kavala, northern Greece, were collected and analyzed for their content of 42 elements. The results indicate that both major and trace elements can be divided into two groups according to their anthropogenic source. The first group includes Al, Cl, Fe, K, Mg, Na, P, S, Ag, As, Cd, Ce, Hg, La, Mo, Pb, Sb, Se, U, and Y, which come from a phosphoric fertilizer industry, while the rest of the elements (B, Ba, Co, Cr, Cs, Cu, Ga, Ge, Li, Mn, Ni, Rb, Sn, Th, Ti, V, W, Zn, and Zr) belong to the second group and can be traced to the other local industrial activities, as well. Bivariate analysis indicated that among the elements within each group high positive correlation coefficients exist.During the research Georgios Papastergios was holding a scholarship from the Greek State Scholarships Foundation (IKY).This work was partially carried out in the framework of PEGEFA Research Consolidated Group (Ref. 2009 SGR 972), funded by AGAUR-DURSI, Generalitat de Catalunya.Peer reviewe
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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