Yulu Pi

Research Interests: Machine learning, XAI, policy making, algorithmic decision-making

Supervisors: Dr C Turkay

Research Topic:

A key challenge when developing policy is that the effects of a new policy are unknown until it is implemented. To address this problem, policy-makers resort to comparing similar policies abroad, performing policy trials, or developing statistical models that assist in predicting likely outcomes. My research focuses on the latter: recent advances in ADM which allows for significant improvements in data-informed decisions with fast and cost-efficient predictions of policy outcomes.

PhD Working title: Interactive Algorithmic Decision-Making For Public Policy

Background:

Yulu Pi has a background in data science and economics. She also worked in several governmental and international organizations before. Her research is focused on the development of interactive algorithmic systems to encourage wider adoption of AI in the public sector.

Publications:

Pi, Y. (2021). Machine learning in Governments: Benefits, Challenges and Future Directions . JeDEM - EJournal of EDemocracy and Open Government, 13(1), 203-219. https://doi.org/10.29379/jedem.v13i1.625

Grants:

Chancellor’s International Scholarship 2021-22

Contact

Centre for Interdisciplinary Methodologies University of Warwick
Coventry CV4 7AL