Science for Africa Foundation AI and data science policy convening

Science For Africa (SFA) - Propelling Africa’s AI and data-driven research

Understanding gaps in national, regional and continental policies for the development, application and governance of Artificial intelligence (AI) and Data Science in global health across the continent

In Africa, while AI and data science applications in research are rapidly advancing, significant gaps and challenges still exist. Limited access to high-quality data, inadequate infrastructure, policy ecosystem and the need for capacity building are some of the hurdles that the continent needs to overcome.

SFA Foundation is seeking to build an understanding of the gaps in national, regional and continental policies for the development, application and governance of AI and Data Science in global health across the continent. Emphasis is placed on, but not limited to, policies for data science and AI applications for Genomics, Epidemics and Pandemics, Clinical trials, and Drug development. Understanding trends and gaps will inform stakeholders to influence policy, and strengthen the research and innovation landscape. The SFA Foundation is seeking perspectives on this area and convening key stakeholders to dialogue and develop interventions to address policy gaps in AI and Data Science for global health in Africa. 

In this regard SFA is requesting those involved in African AI and data science to participate in a survey. Your responses will be kept confidential and personal information will not be shared with any third party. The estimated time to complete this survey is no more than 10 minutes. 
  
Your participation is greatly appreciated, and we thank you in advance for your valuable feedback. 

English Survey: https://www.surveymonkey.com/r/mapping_policy_gaps_in_Ai_and_DS

French Survey: https://www.surveymonkey.com/r/Ai_Ds_french