Events

  1. Events
  2. 2020
  3. November
  4. Identifying and analysing corruption risks in public administration via data-driven methods

Nov

26

Thursday

Identifying and analysing corruption risks in public administration via data-driven methods

6.00pm

Seminars

Students, Academics

This event will be held online. Joining details are available on Moodle.

Speaker: Billy Zhao, EF Education First, Data Scientist

The Data Science for Social Good project with The World Bank: Identifying and Analysing Corruption Risks in Public Administration via data-driven methods (ML)

Abstract: the talk is going to walk through the 3-month summer project with the World Bank on using regression analysis and network analysis to identify new patterns of public inefficiencies through public procurement data from the country and asset declaration from country officials. Billy will share the learnings he had from this project ranging from tools, working with a team of data scientists and of course the findings from this exciting research over the summer.

About the speaker

Billy studied Bachelor/Master of Information and Computing Engineering at the University of Cambridge and he has worked on various AI for Social Good projects including:

  • clean energy (wind farm siting with ML, solar capacity prediction with ML),
  • Chatbots for Good (Chatbots for domestic violence, sexual reproductive health),
  • COVID-19 Epidemiology Modelling (for Refugee camps).

Most recently he was a Data Science for Social Good (DSSG) summer fellow at the Alan Turing Insititute and Warwick University.

Share this event

When and where

6.00pmThursday 26th November 2020