Data Journalism at The Times and The Bureau Local Challenges - Megan Lucero, The Bureau Local

Explore data journalism challenges and innovations at The Times and The Bureau Local in this insightful conference talk. Delve into the intersection of data science and journalism, examining how to bridge the gap between increasing data availability and public distrust of statistics. Learn about data wrangling techniques, visualization methods, and ethical considerations in machine learning for journalistic purposes. Discover strategies for making data-driven reporting more accessible, trustworthy, and relevant to public discourse. Gain valuable insights from real-world examples, including breaking doping and divid scandals, covering UK elections, and investigating voter registration. Understand the aims of data journalism projects and how to effectively follow the money in investigative reporting. Engage with discussions on leveraging public data for social benefit and identifying crucial challenges in data science research for journalism.

Intro
Breaking the doping scandal
Breaking the divid scandal
The 2015 general election
The aims of the project
The UK elections
Voter registration
Hack day
Two stories out
Call for action
Follow the money