Dr. Callistus Ireneous Nakpih, a faculty member of the Department of Computer Science, of the School of Computing and Information Sciences, has been awarded the AMMnet Event Grant. The Grant was awarded to fund an academic event he proposed to organise, on the theme “Utilising Artificial Intelligence Approaches for Malaria Outbreak Predictions in Ghana.”
Participants for the Conference will include members of AMMnet Ghana, Postgraduate students from the School of Computing and Information Sciences and the School of Mathematical Sciences, Entomologists from Navrongo Health Research Centre, and personnel from the National Malaria Control Programme.
The participants will be educated on the opportunities and tools AI brings on board for disease modelling and predictions, with hands-on experience in the use of some AI models for data curation and malaria outbreak predictions.
The event will also include a stakeholder discussion on the creation of formidable cross-disciplinary networks and collaborations for synergising expertise and resources for advanced malaria research in Ghana.
Dr. Nakpih, whose research expertise is in AI with a focus on applying computational models to complex problems, is looking forward to using this grant opportunity to bring together and work with some of the great minds in the malaria research space, to develop innovative solutions for combating malaria with efficiency and effectiveness. This is against the background that fostering greater interaction and knowledge-sharing within the malaria research community in Ghana can augment the ongoing efforts for controlling the minacious disease in the country.
The upcoming event is expected to contribute significantly to ongoing efforts in malaria research by sharing insights for a more data-driven and impactful approach to malaria control and elimination in Ghana.
About AMMnet
The Applied Malaria Modellers Network (AMMnet), seeks to grow and maintain a modelling community that works to improve decision-making and to reduce malaria burden.
AMMnet brings together researchers across the globe who apply and use quantitative tools to inform decision-making and operations in malaria-endemic countries.
AMMnet has been very instrumental in fostering collaborations and knowledge-sharing with the goal of improving the quality of analytical support offered to malaria programmes and advancing malaria research globally.
