Mentor Matching: Impact of Customized Mentoring on Entrepreneurs

In collaboration with Micromentor (Capital For Good), this University of Cambridge-backed project develops a two-sided matching framework to customize business mentoring based on mentee and mentor characteristics. Using econometric modelling and machine learning, we aim to maximize successful matches and drive evidence-based improvements in the Micromentor platform’s matching algorithm.