Register for #GIJC25
November 20, 2025 • 09:00
-
day
days
-
hour
hours
-
min
mins
-
sec
secs

Accessibility Settings

color options

monochrome muted color dark

reading tools

isolation ruler

Posts

707 posts

Digging into Disappearances: Organized Crime and Missing People

In this GIJN webinar, Digging into Disappearances: Organized Crime and Missing People, on Tuesday, September 8 at 9:00am EST, we bring together two senior investigative journalists who will share their strategies and tips on how to investigate a disappearance, how to manage sources, victims and authorities, as well as raise some of the broader considerations of investigating criminal organizations.

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: Herd Immunity Calculator, Post-COVID Offices, Back-to-School Jitters

How many people need to get infected or die of the coronavirus before we reach a herd immunity threshold? Our NodeXL #ddj mapping from August 3 to 9 finds that The Washington Post created a herd immunity calculator to estimate this. Also in the Data Journalism Top 10 this week: BBC’s Visual and Data Journalism team illustrates the future of work environments post-COVID-19, The New York Times shares projections of the potential number of children who may carry the virus back to school in the fall according to county, and Oregon Public Broadcasting discovers a surprising reason for the low incidence of coronavirus transmission in bars and restaurants in the US state of Oregon. 

New GIJN Online Series Starts September 2020

Since the start of the pandemic, GIJN has produced more than 40 free webinars in 7 languages designed for journalists covering the COVID-19 crisis. Come September, GIJN will expand its online offerings on a range of new topics, with continued coverage of the pandemic.

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.

GIJN Webinar — Where Do We Go From Here? New Avenues for Investigative Reporting on the COVID-19 Crisis

We are six months into the COVID-19 crisis, and this global pandemic is far from over. To mark this milestone, GIJN is pleased to offer its 18th webinar in our series Investigating the Pandemic.  Where Do We Go From Here? – New Avenues for Investigative Reporting on the Pandemic will reflect on what investigative journalism has achieved so far and what challenges lie ahead.

Data Journalism

Data Journalism Top 10: Measuring Mask Use, Parental Interruptions, Childbirth Woes, India’s Low Death Rate

How widespread is mask use in your country? Our NodeXL #ddj mapping from July 13 to 19 finds The New York Times mapping the odds of people encountering other mask wearers in the United States, two university professors quantifying the number of interruptions a parent suffers on average every hour while working from home, the Committee to Protect Journalists talking to data journalists about the struggles of reporting on COVID-19, and openDemocracy documenting cases of mistreatment of women in labor around the world since the pandemic started.

Data Journalism

Data Journalism Top 10: COVID-19 Racial Inequity, Cash for the Connected, Africa’s Silent Epidemic, Amazon Safety

The coronavirus pandemic has upended the lives of people around the world, but some communities are especially hard hit. Our NodeXL #ddj mapping from July 6 to 12 finds The New York Times analyzing data that reveals Black and Latino people have been disproportionately affected by COVID-19, The Washington Post highlighting that business relief funds for the pandemic have gone to the rich and well-connected, and Bloomberg looking at more than 120 US businesses that say the coronavirus helped force them into bankruptcy.

GIJN Webinar — Investigating the Pandemic: Open Source Investigations in Africa

In this third Africa-focused GIJN webinar, we bring together three journalists from Zimbabwe, South Africa and Kenya who have used open-source tools during the COVID-19 crisis to produce groundbreaking investigations. They will share tips and insights on the tools they have used, the information they unearthed, how they turned their findings into compelling stories, and the impact that those stories have had.

Data Journalism

Data Journalism Top 10: Pace of Global COVID-19 Deaths, Who Can Work from Home, Visualizations for the Colorblind, Skin Tone and Sports

It is hard to comprehend the true impact of COVID-19 around the world. Our NodeXL #ddj mapping from June 29 to July 5 finds Reuters trying to visualize the alarming rate of deaths related to the coronavirus pandemic, Datawrapper examining which employees can actually afford to work from home, and data journalist Carmen Aguilar García writing about using R programming language and automating repetitive data processes in order to keep up with the demand for pandemic news.