Which communities are most economically affected by the coronavirus pandemic? Our NodeXL #ddj mapping from May 25 to 31 finds the Toronto Star looking at the effects of Canada’s lockdown on different communities in the country, ProPublica sharing a tool that lets you explore US government contracts tied to the coronavirus, the Financial Times analyzing excess mortality in 19 countries, and the Knight Center for Journalism in the Americas offering a free online course on ethics in data journalism.
Unequal Pandemic Impact
The Toronto Star, a Canadian broadsheet daily, took a look at which communities are financially hardest hit by the coronavirus pandemic, with depictions in six graphics. It found that low-wage hourly workers and women in non-unionized jobs have suffered the most negative impacts.
We have six graphics illustrating the stark picture of Canadian inequality through the pandemic. Here's a breakdown of the affect of COVID-19 by wage. https://t.co/X94WPWs7vr pic.twitter.com/bZ7BWDXo0H
— Toronto Star (@TorontoStar) May 28, 2020
Coronavirus Contracts (US Database)
Nonprofit newsroom ProPublica published a tool that lets you explore contracts the US federal government is awarding. Find out who the feds are buying from, what they’re buying, and how much they’re paying. The data has already powered several of ProPublica’s own stories, like this look at how the Trump Administration promised US$1.8 billion to 335 first-time contractors often without bidding or background vetting, and this former White House official winning a masks supply contract just days after registering his company.
Nice work from @propublica making federal coronavirus-related contracts searchable!https://t.co/PtW4LZgEl0
— Peter Aldhous (@paldhous) May 27, 2020
Highest COVID-19 Death Rates
The Financial Times analyzed excess mortality figures from 19 countries and discovered that the United Kingdom has the second-highest death rate from COVID-19 among these countries thus far, while Spain tops the list. Its analysis suggested that an earlier introduction of lockdown measures correlates to a reduced excess death toll. The FT also took a look at five indicators to assess the UK’s economic recovery, including an increase in job vacancies, a rise in spending, and more vehicles on the road.
Coronavirus: Until this morning, the UK had a higher rate of death than in any country for which high-quality data exist. But Spain just made a revision to its mortality estimates, and the UK now has the second highest death rate.https://t.co/zk1cZzAXgF via @financialtimes
— roula khalaf (@khalafroula) May 28, 2020
Tainted Water Series Wins Award
The Canadian Association of Journalists just awarded its annual Data Journalism Award to the Institute for Investigative Journalism and its media partners for their “Tainted Water” series. The nationwide investigation, involving 10 media organizations and nine universities, exposed the prevalence of lead contamination in drinking water in the country. Read the story here and here. The Toronto Star also produced a searchable database for lead levels in water at schools and daycare centers across Ontario (paywall).
Tainted water series from Global News, media consortium wins Canadian Association of Journalists award https://t.co/OiRMnUXNps pic.twitter.com/qEVNBPG4NP
— Global National (@GlobalNational) May 31, 2020
Free Data Journalism Ethics Course
The Knight Center for the Journalism in the Americas is offering a new massive open online course, “Equity and Ethics in Data Journalism: Hands-On Approaches to Getting Your Data Right” from June 22 to July 19. Instructor Heather Krause will teach you how to identify inequity and hidden bias at seven key stages of the data journalism life cycle.
#Journalists: New 4-week course from @utknightcenter starting 22 June – Equity & ethics in data journalism: Hands-on approaches to getting your data right. Learn about tools & techniques to help you tell data stories fairly & ethically. Register here: https://t.co/JNNgZqLYjl pic.twitter.com/7BtSqGcrWS
— Rory Peck Trust (@rorypecktrust) June 1, 2020
Mapping Solar Parks in Argentina
Brazilian journalist Mathias Felipe mapped 20 solar energy facilities in Argentina using machine learning in partnership with Dymaxion Labs. They created an algorithm to detect solar parks with satellite images throughout the country. In total, 7,000,000 images were processed and 2,780,400 square kilometers were analyzed.
We are happy to share a summary of what I have done while I was on secondment at @LNdata!! We used of artificial intelligence (AI) techniques, more specifically computer vision (CV), with satellite imagery in journalism production. #AI #DDJ #ddjbr https://t.co/PmxTLFYnTL
— Mathias Felipe (@Mathias_Felipe) May 29, 2020
German Undergrad Trends
In which university faculties are students most often married? Or most likely to live with their parents? Or to work part-time jobs? Süddeutsche Zeitung evaluated information provided by more than 60,000 university undergraduates to find trends among students who study different subjects.
Welche Studierenden sind besonders häufig verheiratet? Wer wohnt noch bei den Eltern? Und wer verbringt viel Zeit mit Computerspielen? Zwischen den Fächern gibt es verblüffende Unterschiede. https://t.co/qDoHcMyMAn
— Süddeutsche Zeitung (@SZ) May 22, 2020
Interview: Intersection of AI and DJ
JournalismAI, a project of the London School of Economics and Political Science’s Polis think tank, is starting an interview series with women working at the intersection of journalism and artificial intelligence. Polis intern Tharsa Sakthipakan interviews the Guardian’s lead data scientist Anna Vissens, in which Vissens offers advice for the next generation working on advanced and emerging technologies.
New @PolisLSE series about women working at the intersection of AI and journalism: Guardian's lead data scientist Anna Vissens: "These models change our lives; they change the way we behave, make our choices and how we interact with each other." https://t.co/8INR8YUtC1 pic.twitter.com/5n33xjII4M
— Charlie Beckett (@CharlieBeckett) April 26, 2020
Online Data Journalism Conference (Russian)
The School of Data Kyrgyzstan is organizing a five day online data journalism conference for Russian speakers from June 6 to 10. Hurry if you’re interested, registration will close tomorrow (June 5). Among the speakers is our own GIJN-in-Russian Editor Olga
Simanovich.
Что может #ddj в наших странах?
Онлайн-конференция по журналистике данных #Lampa 6-10 июня приглашает
журналистов вместе учиться, обменяться опытом и развивать сообщество. Будут спикеры и от @gijn@schoolofdatakg @anastasiajourno @MyAUCA @schoolofdata
Рус👉https://t.co/ZTeuGq4qu1 pic.twitter.com/8eWSSQw5eI— GIJN in Russian (@gijnRu) May 29, 2020
Data Journalism Digest
In case you missed it, Datajournalism.com has created a dedicated email digest of data journalism news. They also announced a partner offer for data journalists with Mailbrew, a tool to create automated newsletters.
Hey #datajournalists, we have something for you! With our partners from @mailbrew we've created a dedicated email digest with the latest #datajournalism, #ddj, #dataviz news. Sign up to get it daily in your inbox!https://t.co/YRqtbf8hHO *Plus, you can get their tool for 50% off! pic.twitter.com/bYUrIkbAcS
— DataJournalism.com (@datajournalism) May 15, 2020
Thanks again to Marc Smith of Connected Action for gathering the links and graphing them. The Top Ten #ddj list is curated weekly.
Eunice Au is GIJN’s program coordinator. Previously, she was a Malaysia correspondent for Singapore’s The Straits Times, and a journalist at the New Straits Times. She has also written for The Sun, Malaysian Today, and Madam Chair.