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Andrew Therriault is the founder of Civin. Founded by the City of Boston's former Chief Data Officer, Civin is building tools for local government that makes analytics accessible for communities of all sizes, without the need for teams of data scientists and engineers. ★ Support this podcast ★
Today we have a guest that will help us understand data science in politics. Dr. Andrew Therriault is a Data Science and Strategy Consultant. He teaches a course entitled ‘Data Science for Political Campaigns’ at Harvard. Prior to this, he served as the Chief Data Officer for the City of Boston and the Director of Read More ...
In the first episode of this podcast recorded in front of a live audience, Renee interviews Andrew Therriault, who was formerly the Director of Data Science for the Democratic National Committee & Chief Data Scientist for the City of Boston, and is currently Data Science Manager at Facebook.
Andrew Therriault is an enthusiastic poker player and the former Director of Data Science for the Democratic National Committee. We discuss how data is changing political campaigns and [host] Andrew’s recent experience canvassing for Beto O’Rourke in Austin, TX. Andrew’s ... Read more...
Our guest this week is Andrew Therriault (@therriaultphd). We talk about data science in the big city, politics, slime in the ice machine, labor unions, how easy it is to join datasets, and whether Boston really deserves to be called Beantown.
The O’Reilly Bots Podcast: Using data science to allocate campaign resources.The problem confronting a modern campaign manager is similar to the problem that any marketer encounters: how to spend finite resources to reach the right people and convince them to act. In this episode of the O’Reilly Bots Podcast, I talk data strategy with Andrew Therriault, chief data officer for the City of Boston. He was previously director of data science for the Democratic National Committee and is the editor of a free O’Reilly ebook called “Data and Democracy: How Political Data Science is Shaping the 2016 Elections.” We talk about how data is changing today’s political campaigns—particularly the way that campaigns now determine which potential supporters to target with phone calls, mailings, and door-to-door contact.Discussion points: How campaigns are combining different sources of data (including census and consumer data) to augment traditional voter registration information The similarities and differences between political and commercial data science The importance of forecasting and poll aggregation sites (such as FiveThirtyEight.com) in this era when “the polling industry is in a crisis,” says Therriault. How online polling will become increasingly relevant The increasing use of social media data in campaigns How deep learning and neural networks might be used in future campaigns
The O’Reilly Bots Podcast: Using data science to allocate campaign resources.The problem confronting a modern campaign manager is similar to the problem that any marketer encounters: how to spend finite resources to reach the right people and convince them to act. In this episode of the O’Reilly Bots Podcast, I talk data strategy with Andrew Therriault, chief data officer for the City of Boston. He was previously director of data science for the Democratic National Committee and is the editor of a free O’Reilly ebook called “Data and Democracy: How Political Data Science is Shaping the 2016 Elections.” We talk about how data is changing today’s political campaigns—particularly the way that campaigns now determine which potential supporters to target with phone calls, mailings, and door-to-door contact.Discussion points: How campaigns are combining different sources of data (including census and consumer data) to augment traditional voter registration information The similarities and differences between political and commercial data science The importance of forecasting and poll aggregation sites (such as FiveThirtyEight.com) in this era when “the polling industry is in a crisis,” says Therriault. How online polling will become increasingly relevant The increasing use of social media data in campaigns How deep learning and neural networks might be used in future campaigns