Data-driven design engineering for social good

Abstract
Different movements focus on leveraging data and analytics for social good (e.g., AI for Social Good -- AI4SG) to meet the Sustainable Development Goals (SDGs). Achieving sustainable impact with AI4SG is a challenge, especially in (fast) developing countries. Finding blueprints to translate existing solutions to new contexts is not straightforward. This collaborative project with CMU-Africa focuses on creating innovative digital solutions for East Africa (e.g., Rwanda and Kenya) through data-driven decision-making. A systematic holistic approach to AI4SG will be developed using human-centric design principles, to build scalable sustainable solutions for various application areas, e.g., health, agriculture, transport, and energy.

How to Apply 
Please contact Professor Pierre Pinson if you are interested in applying for this project. 

For more information on submitting a PhD application, please consult our application pages here. When you submit your application, please cite this project title in the 'how you are planning to fund your PhD' section.