International Development Research Centre: IDRC Digital Library
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Brief 6 : assessment of case management strategies and CAO/CBP functionality in justice service delivery
Escalar el impacto de la innovación y la investigación : un llamado a la acción desde el Sur Global - en resumen
French version available in IDRC Digital Library : Mise à l’échelle de l’impact de l’innovation et de la recherche : un appel à l’action de la part du Sud - en bref; Spanish version available in IDRC Digital Library : Escalar el impacto de la innovación y la investigación : un llamado a la acción desde el Sur Global - en resume
Qualité de la recherche plus (QR+) : évaluer la recherche différemment
Version anglaise disponible dans la Bibliothèque numérique du CRDI : Research Quality Plus (RQ+) : evaluating research differentlyVersion espagnole disponible dans la Bibliothèque numérique du CRDI : Calidad de Investigacion Plus (RQ+) : evaluando la investigación de manera diferenteLa science et l’innovation offrent une promesse immense pour le développement durable mondial. La capacité des chercheurs et des innovateurs à combiner créativité et esprit critique a été le moteur de nombre de nos plus grandes réalisations. En conséquence, nous vivons plus longtemps et en meilleure santé, nous sommes à l’origine de profonds changements sociaux et nous avons créé des réseaux qui nous relient aux quatre coins de la planète à l’aide d’un dispositif portable. Mais la science en tant que force du bien ne peut être considérée comme acquise. Dans cet article, nous soutenons que l’expérience du Centre de recherches pour le développement international (CRDI) avec la QR+ est très prometteuse. Nous développons cette position en présentant une application de la QR+ dans divers portefeuilles de recherche financés par le CRDI en 2020-2021. En tant qu’équipes d’organismes subventionnaires de la recherche, de chercheurs, d’évaluateurs, de praticiens et d’étudiants, nous proposons la QR+ comme une solution de rechange validée pour définir, gérer et évaluer la qualité de la recherche
World of finance is waking up to the reality of climate change, but money still isn’t getting to the right places
Ambition was plentiful at last year’s climate conference, but outcomes can best be described as mixed when it comes to climate finance. While some eye-catching pledges made headlines, for the majority of the world where climate change impacts are a constant reality, these can still feel far-removed, not to mention entirely inadequate in scale against the estimated $60-90 trillion of investment needed over the next 15 years
NDC Highlights Newsletter (Amharic version)
Ministry of Foreign Affairs of the Netherland
Cities are vulnerable to heatwaves
The rapid urbanisation and building of concrete infrastructures have led to drastic climate change in recent years. An urban heat island effect occurs when the urban areas experience warmer temperatures than nearby rural areas
Effects of taxation on social innovation and implications for achieving sustainable development goals in developing countries : a literature review
In developing countries, taxation is perceived as a brake on economic growth. Indeed, taxes in most of these countries are not sufficiently adapted to the specificity of the taxpayer and often do not consider the weak administrative capacity of the countries in the region. In this context, reforms have been initiated over the last decade to create tax environments that encourage savings, investment, entrepreneurship, and social innovation. This study provides an overview of research on the effects of taxation on social innovation and the corresponding implications for the achievement of Sustainable Development Goals (SDGs) in developing countries, taking three approaches: thematic, chronological, and methodological. Most studies agree that high taxes in business undermine social innovation and thus the achievement of SDGs, as social innovation is known to be a driver of most SDGs and business the vehicle. The majority of the selected studies used primary data collected from samples whose representativeness with respect to the population concerned (notably businesses) is still not explicitly justified
Leveraging AI in the Kenyan judiciary : a case for utilizing text classification models for data completeness in case law meta data in Kenya’s employment and labor relations court
AI has been revolutionary in improving different professional fields and sectors. In the legal sector, AI is utilized, in a number of jurisdictions, for different purposes both at the bar and bench level. The study investigates the efficacy of an AI algorithm in completing missing data in digitized documents, i.e. how AI can be utilized to achieve data completeness of precedents in the judiciary through text classification in order to achieve an optimal foundational basis for the creation of data sets that will facilitate the utilization of AI for different purposes. The Employment and Labor Relations court is used as a case study. The study analyzed the efficacy of 5 text classifier models: passive aggressive, linear regression, decision tree, random forest, and support vector machine (SVM) model. The results obtained from the study show that text classification can be automated successfully using machine learning techniques to generate case metadata. The accuracy of the text classifier methods utilized in the study range between 82% and 98%. Despite the data limitations faced in this study, the good results recorded help increase confidence that advanced NLP techniques have matured enough to be applicable to legal text in the Kenyan Judiciary. Findings from the study suggest that the success rates of the text classifier techniques are not merely dependent on text content, but the context of this content is also a determining factor - the nature of the cases and the structure of the legal system play an important role in the performance of text classifier models