1,720,957 research outputs found
THE IMPACT OF GENDER MAINSTREAMING ON HUMANITARIAN AID DELIVERY: A POLICY ANALYSIS
Get PDFGender mainstreaming in humanitarian aid delivery has become increasingly important in recent years as organizations seek to address the differential impact of crises on women, men, girls, and boys. This policy analysis examines the impact of gender mainstreaming on humanitarian aid delivery, focusing on its effectiveness in promoting gender equality and improving the overall outcomes of humanitarian interventions. The analysis explores the evolution of gender mainstreaming in humanitarian aid, highlighting key policy frameworks and guidelines that have shaped its implementation. It also examines the challenges and limitations associated with gender mainstreaming, including issues related to funding, capacity building, and coordination among humanitarian actors. Furthermore, the analysis assesses the impact of gender mainstreaming on the design, implementation, and monitoring of humanitarian programs. It examines how gender considerations have been integrated into needs assessments, program design, and evaluation processes, and how this has influenced the quality and effectiveness of humanitarian aid delivery. The analysis also considers the broader implications of gender mainstreaming on humanitarian action, including its potential to transform power dynamics, challenge gender stereotypes, and promote women's leadership in humanitarian decision-making processes. It highlights the importance of adopting a gender-sensitive approach that recognizes and addresses the specific needs and vulnerabilities of women, men, girls, and boys in humanitarian settings. Overall, this policy analysis underscores the critical importance of gender mainstreaming in humanitarian aid delivery and calls for greater commitment and investment in gender-responsive programming. It concludes with recommendations for strengthening gender mainstreaming efforts, including enhancing coordination among humanitarian actors, increasing funding for gender-sensitive programming, and promoting gender equality within humanitarian organizations.
Keywords: Impact: Gender Mainstreaming, Humanitarian, Aid Delivery, Policy Analysis
PREDICTIVE ANALYTICS FOR PROACTIVE SUPPORT IN TRAFFICKING PREVENTION AND VICTIM REINTEGRATION
Get PDFHuman trafficking is a pervasive and complex crime that affects millions of people worldwide. In recent years, there has been a growing recognition of the need for proactive approaches to trafficking prevention and victim reintegration. Predictive analytics, a data-driven technology that uses algorithms to analyze patterns and predict future outcomes, holds great promise in this regard. This review explores the application of predictive analytics in trafficking prevention and victim reintegration, highlighting its potential to enhance proactive support for victims and improve overall outcomes. Predictive analytics can play a crucial role in trafficking prevention by identifying patterns and trends that may indicate potential trafficking activities. By analyzing data from various sources, such as social media, financial transactions, and law enforcement records, predictive analytics can help identify high-risk areas and individuals, enabling law enforcement agencies and NGOs to take proactive measures to prevent trafficking. For example, predictive analytics can help identify vulnerable populations, such as runaway youth or migrants, and target prevention efforts accordingly. In the context of victim reintegration, predictive analytics can help improve outcomes by identifying factors that may influence a victim's likelihood of successful reintegration into society. By analyzing data on factors such as education, employment, and social support, predictive analytics can help identify interventions that are most likely to help victims rebuild their lives. For example, predictive analytics can help identify the types of support services, such as housing assistance or job training, that are most effective in helping victims reintegrate into society. Overall, predictive analytics has the potential to revolutionize trafficking prevention and victim reintegration efforts by enabling proactive support that is tailored to the specific needs of victims. However, it is important to recognize that predictive analytics is not without its challenges, including concerns about data privacy and ethical implications. Therefore, it is essential to ensure that predictive analytics is used responsibly and in accordance with ethical guidelines to maximize its benefits in trafficking prevention and victim reintegration.
Keywords: Predictive Analytics, Human Trafficking, Prevention, Victim Reintegration, Systematic Review
LEVERAGING AI IN CASE MANAGEMENT FOR VULNERABLE MIGRANTS: A PATH TOWARD ENHANCED RESILIENCE
Get PDFThe concept paper explores the potential of artificial intelligence (AI) in improving case management for vulnerable migrants. With the increasing challenges faced by migrants, including displacement, exploitation, and lack of access to services, there is a growing need for innovative solutions to support their well-being and resilience. The paper begins by providing an overview of the current landscape of migration and the challenges faced by vulnerable migrants. It highlights the limitations of traditional case management approaches, including resource constraints, lack of data-driven decision-making, and difficulty in tracking and monitoring cases effectively. The paper then delves into the potential of AI in transforming case management for vulnerable migrants. AI technologies, such as natural language processing (NLP), machine learning (ML), and data analytics, can enable more efficient and effective case management processes. AI can help in automating routine tasks, such as data entry and documentation, allowing case workers to focus more on providing personalized support to migrants. Furthermore, AI can assist in identifying patterns and trends in migration flows and service utilization, enabling more proactive and targeted interventions. By leveraging AI, case workers can make more informed decisions, improve service delivery, and enhance the overall resilience of vulnerable migrants. However, the paper also acknowledges the challenges and ethical considerations associated with the use of AI in case management. These include concerns about data privacy and security, algorithmic bias, and the potential for AI to replace human decision-making entirely. Addressing these challenges will be crucial in ensuring that AI is used responsibly and ethically in supporting vulnerable migrants. In conclusion, the concept paper emphasizes the importance of leveraging AI in case management for vulnerable migrants as a means to enhance resilience and improve outcomes. It calls for a collaborative approach involving policymakers, practitioners, and technology developers to harness the full potential of AI in supporting vulnerable migrants and building more inclusive and resilient communities.
Keywords: AI, Case Management, Migrants
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
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