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Adoption Of Orcid And Other Persistent Identifiers In Kenya, Cote D'ivoire, Nigeria, And Across Africa – Opportunities And Lessons Learned
No full textORCID is the persistent identifier for researchers to share their accomplishments (research articles, data, etc with funding agencies, publishers, data repositories, and other research workflows. With this session, we aim to assist African researchers, librarians, and institutions in the adoption of digital tools and persistent identifiers for a significant increase of African research discoverability, globally and to increase efficiency in scholarly workflow
Akakodyo k’okutangaaza ne X-ray kasobola okukozesebwa okulaga ebitundu by’ekiwuka ebitinniinya.
Get PDFLuganda translation of DOI: 10.31730/osf.io/2urxfOkupima ebitundu ebiwuka mwe bissiza n’engeri gye byawuka kikyasoomooza olw’obutinniinya bwabyo. Wano tupima obugazi bw’omuyitiro gw’ekiwuka nga tukozesa X-ray micro-tomography (µCT) okutangaaza (ku bunene bwa 15 µm) enkulungabbi ennamu ensannyalaze okwetooloola obunene bwazo obw’enjawulo. Mu lupapula luno tuwa obubaka bwonna ku bugazi n’ebifaananyi bya 3D ebya sikaani 12, nga tuwa obubaka obupya ku buddiŋŋanyi bw’ebyo ebyekaliriziddwa n’enjawulo mu nkalira z’ekikula ky’omuyitiro ezeeyolekera mu bukodyo bw’okwawuzaamu ekifaananyi obw’enjawulo. Obubaka ku bugazi bulagiddwa wano kw’ossa ebitundu by’omuyitiro ebikutuddwamu nga biri mu bifaananyi bya 3D
Establishing Fair Publishing Modes For The African Scholarly Community
Get PDFLightening Talk held at the JISC Online Workshop: Exploring the potential of alternative publishing models on Jan 19, 2023.
Slides also available online at https://docs.google.com/presentation/d/15LmNK_GZE624sbVrdVOqjn8_XpjliPlMlBVhCQ5P-Zc/edit?usp=sharin
ለካንሰር የመጋለጥ አደጋቸው ከፍተኛ የሆነ አነስተኛ የሲዲ4 ቁጥር እና ኤችአይቪ ያለበቻው የደቡብ አፍሪካ ወጣቶች
Get PDFAmharic translation of DOI: 10.31730/osf.io/xq6jhበደቡብ አፍሪካ የኤችአይቪ ካንሰር ማች ጥናት ከ15-24 ዓመት ያሉ ሰዎችን አካተናል፤ ከብሄራዊ የጤና ላብራቶሪ ሰርቪስ እና ከብሄራዊ ካንሰር ሬጅስትሪ ከኤችአይቪ ጋር በተያያዙ የላብራቶሪ ልኬቶች ሰፊ ስብስቦች ተገኝተዋል፡፡ በጣም ለተለመዱት የካንሰር አይነቶች የክስተት ምጥነቶችን አስልተናል፡፡ ወሲባዊ ግንኙነት፣ እድሜ፣ የቀን መቁጠሪያ አመትን እና የኮክስ ሞዴሎችን በመጠቀም የተሰላ የሲዲ4 የሴል ቁጥር እና የተስተካከሉ የአደጋ መጠኖች (የ.አ.መ) ከካንሰር ጋር ያላቸውን ግንኙነት ገምግመናል፡
Emerging Digital Technologies Ecosystems in Kenya and South Africa: States of Maturity 2023
Get PDFData generation is growing exponentially, driven by the rapid increase in devices such as mobile phones, computers, sensors, etc., connected to the Internet and thus to databases. The new data sources and technologies (e.g. machine learning algorithms) "can identify patterns in observed data, build explanatory models, and make predictions quicker and with more accuracy than humans". Emerging digital technologies (EDT) and X-Data-based applications, for example, have been used to develop mitigation measures against Malaria, Zika, and Dengue Fever in India, identify lower-priced generic drugs in South Africa (SA) and tackle flooding in Indonesia. However, these algorithms are mainly created in developed countries and often lack transparency arising from intellectual property rights, thus hindering the realisation of the enormous potential EDT/X- Data-based applications have in addressing socio-economic challenges faced by developing countries, where data literacy levels are also often insufficient to leverage on data-driven approaches fully. In addition, where applications do exist, they are often not broadly accessible, especially for vulnerable and marginalised groups and persons with disabilities in areas with slow internet connections.
This study unpacks the generic term "big data" into four overlapping categories of data: big data, open data, user-generated data and real-time data, and collectively refers to them as "X-Data". Reaping the full benefits of X-Data requires the development of supportive systems, including more approaches to collect, aggregate, analyse, and visualise data, as well as building the capacity of communities involved in data generation, governance, and usage. Such systems are often limited or absent in developing countries, thus creating new digital divides between developing and developed countries. Whereas the access to technology gap is narrowing, gaps in social integration and the impact of technology are increasing. Further, barriers persist in the use and uptake of X-Data by decision-makers, including competing data sources, quality of data, limited awareness of data existence, and inadequate transformation of data into useful information or tailoring it to match decision-makers needs.
EDTs are often used together and include artificial intelligence (AI), blockchain, Geographic Information Systems (GIS), Internet of Things (IoT), and big data analytics. AI includes systems, techniques and methods that incorporate human-level intelligence at much faster speeds, for example, data mining (including artificial neural networks, Bayesian networks and support vector machines), machine learning, natural language processing, computer vision, and expert systems. Collectively, they provide enhanced data analytics, better decision-making, and improved predictive analysis.
Kenya and South Africa have for the past few years ranked high in Sub-Saharan Africa (Kenya: 4/41 in 2020 and 3/41 in 2021 and 2022; and South Africa: 2/41 in 2020, 2021 and 2022) and reasonably well globally (Kenya: 71/172 in 2020, 78/160 in 2021 and 90/181 2022; and South Africa: 58/172 in 2020, 68/160 in 2021 and 68/181 in 2022) on the Government AI Readiness Index. The index evaluates how ready a government is to implement AI in delivering public services. However, the Sub-Saharan African countries have the lowest average scores on households with internet access and the cost of the cheapest internet-enabled device relative to Gross Domestic Product (GDP) per capita.
The definition of GIS is a computer system for capturing, storing, checking, and displaying data related to positions on Earth's surface. GIS can show different data types on one map, such as streets, buildings, and vegetation, enabling easier visualisation, analysis, and understanding of patterns and relationships. The hardware and software systems incorporate many data types, including cartographic, photographic and digital data.
Big data combines structured, semi-structured and unstructured data collected by organisations. Big data analytics mines this data for information for machine learning projects, predictive modelling, and other advanced analytic applications to create value. Characteristics include great variety, high volume and the need for faster processing times. Blockchains are decentralised databases that permanently, without third parties, record user transactions. The transactions are cryptographically chained (thus cannot be altered) and shared with the linked users.
A definition of IoT is a network of things embedded with sensors, software, and other technologies. They connect and exchange data with other devices and systems through the Internet. Using low-cost computing, the internet cloud, big data analytics and mobile technologies, physical objects (ranging from everyday household appliances to complex industrial applications) can share and collect data with minimal human intervention.
This study took a deep dive into and assessed the maturity level of the EDT ecosystems in Kenya and South Africa, focussing on their applications in the context of X-Data. It builds upon the United Kingdom (UK), Foreign Commonwealth Development Organization (FCDO) – Funded project, Emerging technologies in Kenya and South Africa - A Landscape Analysis.Research and Innovation Systems for Africa
UKAI
A Theoretical Discourse of Queen Nonesi of Abathembu: A Pioneer Woman Leader Brought Back to Memory
Get PDFQueen Nonesi of abaThembu was one of the outstanding women leaders from amongst the Xhosa people during the difficult days of the colonial epoch. She led her people with bravery and fortitude, during those turbulent times. She was also able to save her people from losing their land more than once, through her negotiation and diplomatic skills. She died in 1880 at the age of 65 after leading her people for almost 40 years. Thus, a juxtaposition of the current narrative on women leadership against the portrayal of her life history and leadership acumen, tenacity and intentionality warrants the foregoing research question: Can Queen Nonesi be celebrated as a champion of women leadership by contemporary African women as they seek to assert their God-given right to lead?
Using a narrative synthesis hinged upon Ubuntu philosophy, this piece is the first of a sequel that focusses on Southern Women Leaders and their impact on contemporary leadership strategies. This study holds several significant implications. Firstly, it aims to shed light on the historical contributions of women leaders from the Xhosa people, challenging the dominant narrative that often overlooks or marginalizes their roles. By highlighting Queen Nonesi's achievements, the study seeks to foster a greater appreciation for the leadership capabilities of African women.
Secondly, the study seeks to inspire contemporary African women who are striving to assert their right to lead. By examining Queen Nonesi's leadership qualities and strategies, the research aims to provide valuable insights and lessons that can inform and empower women leaders today.
Lastly, the study's utilization of Ubuntu philosophy as a guiding framework offers a unique perspective on leadership. By emphasizing the communal aspects of leadership and the interconnectedness of individuals, the research aims to promote a more inclusive and collaborative approach to leadership in contemporary African contexts
Modèle des diapositives du Module II de l'Atelier ouvert pour l'Afrique
Get PDFCe modèle de diapositive, disponible en format .pdf et .pptx, a été développé dans le contexte d’un projet financé par le Wellcome Trust et vise à piloter une série d’ateliers en trois parties intitulée Atelier ouvert aux pairs évaluateurs pour l’Afrique. Ce modèle est le premier des deux diapositives du module II à notre disposition. Vous trouverez des détails sur l’atelier et des informations relatives sur la façon de gérer votre propre version de l’atelier dans le Guide du formateur.
Divulgation : ces traductions ont été effectuées par Roseline Dzekem Dine.
Ce contenu constitue un modèle. Il est destiné à être adapté au public et à la culture, tous les exemples utilisés peuvent ne pas être pertinents ou appropriés
Open Peer Reviewers in Africa Guide du formateur
No full textCe guide du formateur est destiné à aider les chercheurs et les professionnels qui souhaitent devenir formateurs pour la série d’ateliers Pairs évaluateurs ouverts pour l’Afrique développée en collaboration avec AfricArXiv, Eider Africa, eLife, PREreview et Training Center in Communication en Afrique et financée par le Wellcome Trust. Pour être formateur, nous vous recommandons d’avoir vous-même assisté à l’atelier en tant que stagiaire de cohorte. Le matériel et les ressources en rapport avec l’atelier sont liés à l’intérieur.
Notre objectif est d’établir un modèle de formateur de formateurs (ToT) dans lequel les participants à l’atelier sont encouragés et habilités à mobiliser, recruter et former des collègues dans leurs communautés savantes respectives.
Le présent guide n’est pas destiné à être prescriptif sur la façon dont les apprenants devraient mener leur formation. Nous vous encourageons à considérer le contenu comme des suggestions pour votre propre formation et n’hésitez pas à l’adapter à vos besoins et à votre situation
Divulgation : ces traductions ont été effectuées par Roseline Dzekem DINE.
Ce contenu constitue un modèle. Il est destiné à être adapté au public et à la culture, tous les exemples utilisés peuvent ne pas être pertinents ou appropriés
Les modèles macroéconomiques en usage à Madagascar
No full textLa modélisation économique joue un rôle crucial dans un pays car elle permet de mieux comprendre les interactions complexes entre les variables économiques et d'anticiper les impacts des décisions économiques au moyen des outils d'analyse et de prévision. Dans la présente note, nous recensons particulièrement les modèles macroéconomiques en usage à Madagascar et qui ont été internalisés au sein des départements ministériels en charge de l'Économie depuis les années 90. Les résultats obtenus révèlent que Madagascar dispose d'un éventail d'outils informatisés de modélisation, n'ayant pas nécessairement été pérennes, qui ont servis à surveiller son économie. Nous comptons des modèles comptables et quasi-comptables, des modèles d'équilibre général calculable (MEGC), des modèles d'équilibre général dynamique et stochastique (DSGE), des modèles économétriques appliquées aux prévisions immédiates et des modèles d'apprentissage automatique (Machine Learning). Cette note représente aussi un effort pour dévoiler les documents détaillant les spécificités techniques des modèles macroéconomiques malagasy dont la plupart sont depuis longtemps tombée dans l'oubli
Without access to social media platform data we risk being left in the dark
No full textSocial media data are essential for studying human behaviour and understanding potential systemic risks. Social media platforms have, however, begun to remove access to this data. In response, other countries and regions have implemented legislation that compels platforms to provide researchers with data access. In South Africa, we have lagged behind the Global North when it comes to using platform data in our research and, given the recent access restrictions, we risk being left behind. In this commentary, I call attention to this critical issue and initiate a conversation about access to social media data in South Africa