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What: Strathmore University Business School and Jean Golding Institute for Data Science-University of Bristol UK signs a New partnership Agreement aimed at sharing expertise in data science to address challenges relevant to the African context

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An aerial view of Strathmore University Keri campus

Today, Strathmore University Business School and JGI-University of Bristol UK are proud to announce their official partnership. This collaboration increases the options for credible and high-quality academic, research and training between institutions to develop mutually beneficial, creative and productive scholarly activities in the field of data science. 

Dr George Njenga the Executive Dean- Strathmore University Business School and Professor Kate Robson Brown, Director, JGI-University of Bristol during the signing ceremony  

The teams from both universities will be working together to share expertise on how data science can be used to address challenges relevant to the African context based on a ‘people exchange’ through data science knowledge and capacity building across various channels, from government, the private sector, media and across disciplines.

“This partnership will strengthen our role as an institution in bringing the power of new technologies and innovations to areas such as agriculture, wildlife, and enhance skills in the use of geospatial information to address some of Kenya’s oldest problems,” says Dr Njenga.

Professor Kate Robson Brown said “Developing data science capacity in Kenya and the region is key to addressing some of the greatest societal challenges facing the community, and will also unlock economic opportunities of significant benefit. It is an honour and a pleasure to be working with our colleagues at Strathmore University to achieve these goals.”

The partnership will include exchange of ideas and set goals within sectors such as healthcare, agriculture, wildlife conservation, disaster response, geospatial modelling, communications, and economics. There are plans to enhance the existing data science and data intensive research communities and foster interdisciplinary research work to connect researchers and facilitate research projects.

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