Use cases of Machine Learning and Causal inference for social good

How to do good with data: Use cases of Machine Learning and Causal inference for social good

[Agenda]
• 19:30 ~ 19:40 (10 mins) Opening
• 19:40 ~ 20:40 (60 mins) Main Topic: How to do good with data: Use cases of Machine Learning and Causal inference for social good
• 20:40 ~ Q & A

[Talk Information]

• Using Machine Learning to predict poverty and wealth using mobile phone metadata.
• Application of Causal Inference methods to measure the impact of social programs.
• This is an English Event.

[Speaker Information]
Robert On

• Robert has degrees in Electrical Engineering, Computer Science, Statistics, Economics, and Information Science.
• Spent the first 10 years of his career working at Google as a Software Engineer under Google's Chief Economist, Hal Varian
• He spent the next 10 years trying to answer the question: "How do I do the most good and how can I measure this?"

[Host Information]
• Benjamin Chen： 活動規劃、講者聯絡與協調
• Kristen Chan：活動規劃
• Ning：活動場地、活動主持人
• Summit：活動宣傳

[地點] 線上 -- Google Meet
線上會議連結會在活動當天在網頁更新

[Reference]
Featured Photo: https://www.jblumenstock.com/files/papers/jblumenstock_2015_science.pdf