Global Investigative Journalism Network (https://gijn.org/tag/statistics/)
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COVID-19
Investigating health care is complex and challenging. Reporting in this field means reading lengthy documents and getting well-acquainted with medical jargon. Numbers and statistics are also part of the game. Although the learning curve can be steep, in this specialized area of investigative journalism you’ll never run out of stories. Truly global, it’s compelling and engaging.
Our NodeXL #ddj mapping from June 22 to 28 finds The New York Times analyzing travel patterns and genetic data to show how the disease spread across the United States, and the impact it has had on nursing homes and elderly care facilities. The Washington Post is responding to the increasing importance of visual data communication by expanding its data and graphics team, and the Pulitzer Center is calling for data journalism story proposals.
GIJN has created a multi-part guide on where to obtain data about the spread of COVID-19 and its consequences. The document links to official and unofficial international sources on health and economic data, links to information on government policy responses, and more than a dozen sites working on pandemic projection modelling.
What will life be like after the coronavirus lockdown measures are relaxed? Our NodeXL #ddj mapping from April 27 to May 3 finds German news outlets ZDF heute and RBB24 looking into pedestrian traffic in Germany post-quarantine, the Financial Times and The New York Times highlighting the complexities of getting an accurate COVID-19 death toll and the problem of undercounting fatalities, and the Africa Centres for Disease Control and Prevention setting up a dashboard to track statistics related to the coronavirus across the region.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from September 2 to 8 finds Folha de São Paulo’s beautiful 3D animation of the Brazil National Museum’s restoration efforts, Guardian’s real-time visualization of Irish border crossings, NZZ’s look at China’s bad research impacting scientists worldwide, and The New York Times calculating the variability of New York City’s subway commute times.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from August 12 to 18 finds information designer Giorgia Lupi discussing how to embrace data complexity, The New York Times Opinion building a forking path visualization to predict an individual’s political leanings, the Guardian visualizing Brexit’s potential impact on the UK’s food imports, and El Universal Mexico looking at the incidences of crime claiming young victims.
With just a spreadsheet, a journalist can let the software do the counting and calculating, allowing them to concentrate on the purpose and result of their inquiry. It also opens the door to understanding more advanced statistics, and the use or misuse of statistics by governments and businesses.
With the global spread of data journalism, the advent of artificial intelligence and the increasing use of big data moving alongside a rapid rise of disinformation, GIJN asked data journalism experts around the world what they anticipate for 2019. Here are their thoughts on the major trends, ideas and technologies that will affect how we do our jobs.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from June 11 to 17 finds three data stories about the World Cup, from @BBCSport, @FT and @TspLeute, @guardian looked at at how urban cycling can change the world and @Bastamag explores 40 years of deaths from police interventions in France.
What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from May 21 to 27 finds @nigelblue’s wildly humorous infographic book about crazy competitions across the globe, @Data_Match breaks down the list of gifts given to the president of the United States by foreign leaders and @FinancialTimes looks into the pressures Antarctica faces.
