MTN Nigeria has rewarded six young researchers who emerged winners in its inaugural Academic Research Development and Innovation Challenge (ARDIC)
The company through a statement said ARDIC was created to help young motivated researchers in Nigerian universities to build and develop their research ideas into sustainable products and initiatives in six months.
MTN pledged to provide the researchers who wanted to translate their ideas into high-impact innovations with N1m, enabling platforms, data, training, mentorship and six months’ acceleration with Seedstars to further develop the ideas for commercialisation.
The winners include a researcher, Itoro Akpan, who developed Jonhalmarktech Solutions, a media optimisation and attribution model of media advertising spend. He explained that findings from the research showed that it was possible to accommodate more network subscribers by increasing the network carrying capacity with the already existing network infrastructure without installing new network equipment.
Another researcher, Taiwo Amoo, developed ‘LogTech’; a customer complaints model, which uses new media data and natural language processing.
Amoo’s research demonstrates the ability to help reduce customer complaints by anticipating equipment failure before the final breakdown of devices, in order to give ample repair time to technicians before it hampers customers’ services.
Other researchers who were rewarded include Zainab Musa, who developed Etechra, using Bayesian networks to predict the creditworthiness of an individual using mobile call detail records, demographics, SMS patterns and recharge card purchases; Toyin Oshaniwa, who developed the ‘Nature Resource Centre’ which demonstrates the use of technology for agricultural yield optimisation, storage and preservation.
Angela Ebirim, who developed ‘Mobia Capital’, a machine learning, Bayesian models for Fintech, which showed risk assessment using smart data such as call detail records from a person’s mobile calling history, demographic data and recharge card purchases to predict a credit score. The sixth researcher is Ibitoye Ayodeji, who created ‘DIC’, a fuzzy-weighted socio-transactional churn predictive system for customer behavioural management, which identifies the propensity of a customer to switch from a service provider to another’