Be early-career researchers with essential skills, Bakare, FUOYE

Director, International Centre for Applied Mathematical Modelling and Data Analytics [ICAMMDA], Federal University, Oye (FUOYE) Ekiti State, Professor Afolabi Bakare, has charged final year students to be early-careers researchers, having essential skills for mathematical modelling He spoke at a five-day programme in conjunction with the International Centre for Theoretical Physics [ICTP], Trieste, Italy and the National Mathematical Centre, Kwali, Abuja.

He said: “The training was a bridged gap between theoretical knowledge and practical application. The participants were equipped with data analytics skills needed to tackle complex challenges in the field like Finances, Physics, Epidemiology, Ecology and across various scientific fields.

“Our software hubs R-Training offers an immersive hand-on experience in mastering the R-Programme Language. This training equips participants with proficiency needed for data, analytical and its application in Mathematical Epidemiology analysis. By engaging in this programme, members gain invaluable skills vital for addressing.

“We engaged with fellow experts and stakeholders in advancing the fields of mathematical modelling and data analytics.” He stated that researchers had the opportunity to enhance their communication skills, a crucial aspect for scientists and academics:

“Also, we taught and discuss emerging trends, technology, or methodologies, that are likely to shape the future of research in science and its application, trends in research and evolving methods in achieving.

“We provide a platform to critically analysis methodologies and findings of leading researches discussing the implication of the their work and exploring on how these approaches can be applied or adapted to our own area of interest.

“We have commitment to academic excellence and collaborative learning is exemplified through a series of activities designed to foster intellectual growth, promote inter disciplinary dialogue and facilitate research progress. We take pride in our dedication to knowledge sharing and advancement of mathematical modelling and data analytics.

“We research works received with constructive criticism in order to make them more robust, innovative and impactful through progress report. Researchers tap into the diverse skills sets and perspectives of their colleagues, individual projects are enriched, and broader goal advancing knowledge in our fields of study is achieved.

“We set the stage with a deep dive into infectious disease and malaria modelling, exploring the motivation behind mathematical modelling, its types and why they are crucial in public health.”