The Forecasting Interest Group (FIG) in South Africa is a collaborative community of professionals and enthusiasts. We are dedicated to advancing and applying forecasting techniques across various domains. Established to foster knowledge exchange, skill development, and innovation in forecasting, FIG is a hub for individuals and organizations seeking to enhance their forecasting capabilities and stay abreast of emerging trends and methodologies.
Chair: Caston Sigauke, University of Venda, South Africa
Vice-Chair: Daniel Maposa, University of Limpopo
Vice-Chair: Knowledge Chinhamu, University of KwaZulu-Natal
Objectives
• FIG aims to facilitate the sharing of best practices, methodologies, and insights among its members through seminars, workshops, and online platforms.
• FIG seeks to enhance the collective understanding and proficiency in forecasting techniques by fostering an environment of collaboration and information exchange.
• Recognizing the importance of continuous learning and skill development in forecasting, FIG organizes training programs and educational initiatives to effectively equip its members with the tools and techniques to forecast future trends and outcomes.
• FIG encourages research and innovation in forecasting by providing a platform for researchers, academics, and practitioners to showcase their work, exchange ideas, and collaborate on projects. By promoting cutting-edge research and novel approaches to forecasting, FIG aims to push the boundaries of knowledge and drive advancements in the field.
• FIG fosters strong ties with industry partners, government agencies, and other relevant stakeholders to promote the adoption of forecasting techniques in decision-making processes. By demonstrating the value and applicability of forecasting across various sectors, FIG seeks to drive greater awareness and utilization of forecasting methodologies in real-world applications.
Past Event
July 2024 Modelling climate data in Africa, Prof Saralees Nadarajah, School of Mathematics, University of Manchester