1,721,125 research outputs found
Learning from research on water governance: Priorities for One CGIAR
No full textWater is an essential resource for all life, but is extremely difficult to manage productively, sustainably and equitably. Good water governance has been a major theme of multiple international conferences for at least two decades (Woodhouse and Muller 2017). Without good governance, we cannot achieve poverty reduction, food security, environmental sustainability, equity and other global development goals or respond effectively to the ravages of climate change. Achieving many of the Sustainable Development Goals (SDGs) depends on the availability of water to users. However, while there are some local success stories, progress on improving water management has been poor. By many measures, we are moving in the wrong direction: access to water, water scarcity, water pollution and food insecurity are getting worse in many parts of the world. Further, the rapid loss of biodiversity and ecosystem services threatens humanity’s future (Bradshaw et al. 2021). There is strong evidence and broad agreement that this is fundamentally a governance failure (e.g., Pahl-Wostl 2017). If we do not succeed in governing water more effectively, we cannot achieve the SDGs. Getting the governance of natural resources right is also a pre requisite for achieving CGIAR’s ambitious 2030 goals (CGIAR n.d.).Non-PRIFPRI5; CRP5; 5 Strengthening Institutions and GovernanceEPTDCGIAR Research Program on Water, Land and Ecosystems (WLE
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
No full textWe 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
Is research for development a good investment? Reflections on lessons from the NBDC
Get PDF‘Integrated Research for Development’ has been promoted as an approach to research and development in natural resources management that is most likely to lead to positive impacts. It has various acronyms, e.g. ‘INRM’ and ‘R4D.’ It was the underlying theory of the SSA Challenge Program, managed by FARA and implemented by CGIAR centres and African partners. R4D was a basis for the first phase of CPWF, though in a rudimentary form. It was adopted as the theoretical basis for CPWF phase II. All six basin challenges are based on R4D, including NBDC. All six BDCs promise significant outcomes leading ultimately to poverty reduction and environmental conservation through application of R4D. It is time for a critical review of the lessons learned from the investments in R4D, particularly as it is being adopted as the underlying theory of the new CGIAR Research Programs. This paper is an early contribution to this review. It examines the premises, promises and actual achievements to the extent possible, using the NBDC as a case study. It identifies critical lessons that should inform future R4D programs. The author draws on nearly 35 years of experience in applied water management research, including the CPWF from its early phase and what he has learned from his engagement with the NBDC, including recent work contributing to the NBDC Institutional History (future versions of this paper may include other co-authors, but the present version represents only the author’s views). The paper briefly examines the roots of R4D in earlier incarnations of ‘action research’ and identifies what is ‘new’: the wide range of diverse partnerships involved in the research. In NBDC and most likely the other BDCs, such diversity brings important challenges that have only partially been solved, as well as new opportunities that have only partially been realized. Future R4D programs will be good investments only under certain conditions. These include effective partnerships; strong commitment from the demand side institutions, including their empowerment vis-àvis the researchers; long-term commitment by funding agencies with periodic reviews to guide the direction of the program; strong links to existing development investment programs; and an excellent science foundation
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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