Conveners
DIRISA: 1
- Chair: Prof Nobert Jere (University of Fort Hare)
DIRISA: 2
- Chair: Prof Nobert Jere (University of Fort Hare)
DIRISA: 3
- Chair: Prof Nobert Jere (University of Fort Hare)
DIRISA: Student Datathon Presentations
- There are no conveners in this block
The South African Weather Service (SAWS) is a key part of the country's weather system. SAWS runs a complex system of tools to observe weather. This includes manual weather stations, automatic rain measuring stations, automatic weather stations, weather radars, a network that measures sunlight, and a system to detect lightning. These systems give important information right away for predicting...
Abstract
High-Performance Computing (HPC) systems play a pivotal role in modern scientific research, enabling complex simulations, data analysis, and large-scale modelling across disciplines such as climate science, genomics, physics, and engineering. As these systems grow in scale and sophistication, the efficient scheduling and allocation of computational resources become crucial for...
This project looks at the use of data to develop evidence-based decision-making and policy for application in water and sanitation systems. It includes a review and understanding of local and global databases and resources, developing data mining and management standards and practices, and applying data analysis techniques to advance water and sanitation systems in South Africa.
Data mining...
As part of the global drive for cyberinfrastructure providers to continue enabling, enhancing and empowering research data management through collaborative frameworks, the Data Intensive Research Initiative of South Africa (DIRISA), as a national research data initiative, provides an integrated suite of free tools and services designed to optimize research data workflows, ultimately amplifying...
In the era of big data, organizations are increasingly leveraging advanced data management strategies to enhance operational efficiency and drive innovation. This paper explores three critical components of modern data management: data sharing, data fabric, and data governance.
Data sharing facilitates seamless access and exchange of data across different departments and external partners,...
Introduction: The Fourth Industrial Revolution (4IR) is trending because of the major transformations it has brought to human life. Artificial intelligence including machine learning are 4IR technologies that can generate intelligent machines that can be used for the diagnosis and management of HIV and associated sexually transmitted infections. Key populations are disproportionately affected...
Crafting Open Data for Open Science: Technical Innovation and Data
Management in Environmental Research — The SAEON Open Data Platform
The South African Environmental Observation Network (SAEON) is one of the National
Research Foundation (NRF)’s Research Infrastructure Platforms and serves as a sustained, coordinated, responsive and comprehensive South African earth observation network....
Cybersecurity continues to be a threat to many sectors and individuals within Africa. As a result, Small, Medium, and Micro Enterprises (SMMEs) are also affected. SMMEs face numerous challenges related to data security, particularly as they increasingly rely on digital tools and platforms for their operations. The situation is worse for SMMEs, particularly those in rural or underserved areas....
Acoustic telemetry data plays a vital role in understanding the be-
haviour and movement of aquatic animals. However, these datasets,
which can often consist of millions of individual data points, often
contain anomalous detections that can pose challenges in data analysis
and interpretation. Anomalies in acoustic telemetry data can occur due
to various biological and environmental...
Background
The growing volume and complexity of data, particularly in health and social research, present significant challenges, particularly in terms of data security and access to secure datasets. These issues are compounded when working with vulnerable populations, exposing data to potential cybersecurity risks. AI-powered tools like Chisquares are addressing these challenges by embedding...
We live in an increasingly data-driven world, and as academics, researchers and professionals, we need the ability to manage, analyze, and interpret data efficiently. We also need to know how to source data and get around the various red-tape systems that are even more prevalent in resource-limited contexts, such as in Africa. This presentation reflects on over a decade of research and...
Determining a word's accurate meaning in each context is known as Word Sense Disambiguation (WSD)[1], and it is one of the most significant problems in Natural Language Processing (NLP)[2]. This undertaking is particularly challenging for low-resource languages like Sesotho sa Leboa since there are few annotated corpora and linguistic resources available for them. This study explores the...
Grace Temilolu Ikenna, CLN,
Doctoral Candidate
Department of Library, Archival and Information Studies, Faculty of Education
University of Ibadan, Nigeria
Email: gracetemilolu@gmail.com
and
Dr Bilkis Adefunke Babarinde
Lecturer
Department of Library, Archival and Information Studies, Faculty of Education
University of Ibadan, Nigeria
Email:...
