Communicating Complex Data with Model Driven Journalism

Explore the intersection of data science and journalism in this 27-minute talk from the Alan Turing Institute. Delve into the challenges of communicating complex data effectively in an era of increasing public distrust of statistics. Learn about innovative approaches to bridge the gap between raw data availability and public understanding. Discover techniques for data wrangling, visualization, and data-driven storytelling that can make information more accessible and trustworthy. Examine the role of ethical machine learning in enhancing public discourse and decision-making. Gain insights into using data to challenge assumptions, encourage critical thinking, and analyze social media's impact on elections and news. Consider strategies for increasing transparency when using public data in reports and explore potential collaborations between data scientists, journalists, and government agencies to leverage public data for societal benefit.

Communicating Complex Data with Model Driven Journalism, Pablo Leon Villagra and Sarwar Islam