I'll talk about the history of data journalism; its current practice; and its challenges, including "dirty" data, unstructured text, forensic image analysis, and the application of machine learning.
Speaker(s)
Peter Aldhous
Peter Aldhous is a science reporter at BuzzFeed News, based in San Francisco. He also teaches investigative and policy reporting in the Science Communication Program at the University of California, Santa Cruz, and data visualization in the Graduate School of Journalism at the University of California, Berkeley, and he runs training workshops in data analysis and visualization for journalists and other professionals—mostly for the Berkeley Advanced Media Institute.
Peter got his break in journalism in 1989 as a reporter for Nature in London, fresh from a PhD in animal behavior. Later he worked as European correspondent for Science, news editor for New Scientist, and chief news and features editor with Nature, before moving to California in 2005 to become New Scientist’s San Francisco bureau chief. His articles have won awards from organizations including the Association of British Science Writers, the Society of Environmental Journalists, the Royal Statistical Society, and the Wistar Institute. His data-driven projects have included analyses and visualizations of climate change, citations in the scientific literature, and his own genome.