Data Science and Data Journalism Projects

Explore a 46-minute conference talk featuring BBC data journalists Ransome Mpini, Magda Piatkowska, and Jeremy Tarling discussing data science and data journalism projects at the Alan Turing Institute. Delve into the challenges of bridging the gap between increasing data availability and public distrust of statistics in the "post-truth" era. Learn about data wrangling techniques, visualization methods, and data-driven storytelling approaches used to make information more accessible and trustworthy. Discover how data science can be applied to social media analysis, election coverage, and news reporting. Gain insights into ethical machine learning practices and ways to increase transparency when using public data. Understand the importance of challenging assumptions and encouraging critical thinking through data-driven journalism. Engage with discussions on initiating collaborations for public benefit data science projects and identifying key research challenges in the field.