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Climate Change

159 posts

Data Journalism

Data Journalism Top 10: Ranking Halloween Candy, Formula 1, Canadian Prisons, COVID-19 Indoors

Gearing up for Halloween? You’ll want to refer to our NodeXL #ddj mapping from October 19 to 25. We found FiveThirtyEight’s ultimate Halloween candy ranking from the archives to please the palates of finicky trick-or-treaters. This edition also includes The Economist’s mathematical model to determine whether Formula 1 racing success depends on its driver or the car engineer; The Globe and Mail examines bias in Canada’s prison system; and El Pais looks into how to reduce the probability of COVID-19 transmissions indoors.

Data Journalism

Data Journalism Top 10: Visualizing Hurricanes, Predicting Wildfires, Social Media Algorithms, Trump Loyalty Index

How does climate change increase the likelihood of weather extremes? Our NodeXL #ddj mapping from October 12 to 18 finds ProPublica examining how the warming global climate exacerbates wildfire activity, and designer Will Chase visualizing some of the most destructive hurricanes with an interactive wheel graphic. The Financial Times is summarizing key trends of the pandemic using charts, maps, and graphics, while The Markup announced its latest project looking into the black box algorithms of social media platforms.

Data Journalism

Data Journalism Top 10: Mapping the Pandemic, Shrinking Japan, Data Recipes, Extreme Temps, Google Election Searches, FinCEN Files

How fast is the coronavirus spreading in countries around the world? Our NodeXL #ddj mapping from September 14 to 20 finds data visualization designer Jan Willem Tulp simulating the speed of COVID-19 infections and German television news program ZDF heute mapping how the pandemic traversed the globe. Meanwhile, Thibi Recipes explores tutoring data journalism as if you’re following a cooking recipe, the Financial Times reports on climate extremes, and ICIJ and Buzzfeed bare suspect financial data.

Data Journalism

Data Journalism Top 10: Election Forecasts, The Sweatpants Era, Hong Kong Protests, DJ in Eastern Europe & Caucasus

One of the biggest issues that comes with visualizing election forecasts is how to incorporate uncertainty in a way that is understandable to readers. Our NodeXL #ddj mapping from August 10 to 16 finds FiveThirtyEight explaining their election forecast design process and considerations. Elsewhere, The New York Times Magazine has been digging into the collapse of the fashion industry, and the Hong Kong Free Press is teaming up with the Journalism and Media Studies Centre of The University of Hong Kong to expand its protest research archive.

Data Journalism

Data Journalism Top 10: Climate Migrants, COVID Testing Disparities, Outbreak Epicenters, Brazil’s Military

In the midst of the pandemic, some newsrooms haven’t forgotten about the issue of climate change. Our NodeXL #ddj mapping from July 20 to 26 found ProPublica partnering with The New York Times Magazine to examine climate migration and where climate refugees are moving to. On the COVID-19 front, FiveThirtyEight revealed the disparities in the availability of testing sites between Black and Hispanic neighborhoods and white areas, broadcaster RBB highlighted that the risk of coronavirus was more keenly felt by low-income earners, and the Google News Initiative and Agência Lupa communicated the impact of the coronavirus by visually putting readers at the epicenter of an outbreak.

Data Journalism

Data Journalism Top 10: Humanizing COVID Deaths, Coronavirus Searches, Climate Change Songs, Brazil’s Cursing Cabinet

The devastating consequences of the coronavirus pandemic can get lost in the mass of numbers presented. Journalists are working hard to humanize the data. Our NodeXL #ddj mapping from May 18 to 24 finds The New York Times with a moving tribute to lives lost to COVID-19; Schema Design, the Google News Initiative, and Axios visualizing coronavirus-related Google searches; and The Atlantic revealing the US CDC conflated results of two types of coronavirus tests.

News & Analysis

What Investigative Journalism Will Look Like in 2020

GIJN asked investigative journalists around the world to look ahead at what’s in store for 2020. Here are the trends, key forces, and challenges they expect will affect investigative and data journalism in the coming year, as well as the new skills and approaches we should be thinking about.

Data Journalism

GIJN’s Data Journalism Top 10 for 2019: People Are The Story, Pirates vs. Princesses, Open Source Journalism, How Charts Lie, UN Votes

Throughout this year, we’ve brought you weekly “snapshots” of the Twitter conversation surrounding data journalism. But this week, we look at what the global data journalism community tweeted about the most during all of 2019. Below you’ll find links to stories from Brazil, Germany, Switzerland, the UK, the US, and elsewhere.

Data Journalism

GIJN’s Data Journalism Top 10: Burning Amazon, Mass Shootings, Hungarian Kings

What’s the global data journalism community tweeting about this week? Our NodeXL #ddj mapping from August 19 to 25 finds Bloomberg mapping the alarming degradation of the Amazon rainforest, Alyssa Fowers discussing variations in visualizing mass shootings and their corresponding impact on readers, Data Carpentry sharing tips for organizing data in spreadsheets, and Atlatszo visualizing the succession of Hungarian kings.