How can "big data" be used to track illegal wildlife trade in Southern Africa? And can open-contracting data help to identify gender gaps in the public service of Colombia? These are some of the ideas that fellows set out to explore for "Dataship – The Data Journalism Fellowship", which DW Akademie established in 2019 together with Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ).
Data journalism has become a catch-all phrase for all techniques combining journalism with the power of computers. It ranges from hard-hitting investigations where teams browse through millions of documents to piece together patterns of foul play, as was the case in the Panama Papers, to the deployment of hardware, such as sensors and interactive visualizations.
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Data journalism: Meet the Dataship fellows!
Aidila Razak, Malaysia
Aidila Razak worked with project partner Long Hui to visualize cronyism connections of the Malaysian government. Both are journalists with Malaysiakini, one of the most popular news websites in Malaysia. Aidila also joined the FoME Symposium "Rethinking Media Development" in Bonn in 2019 as a panelist.
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Data journalism: Meet the Dataship fellows!
Long Hui, Malaysia
Long Hui and his project partner Aidila Razak used data to investigate cronyism in Malaysia. When they started their project, the newly elected government had pledged to end cronyism and political appointments. But the practices of the previous ruling regime persisted, and less than two years later, they were back in power.
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Data journalism: Meet the Dataship fellows!
Odanga Madung, Kenya
Odanga channeled his passion for data collection into a project about air pollution in Nairobi — which is an enormous problem in Kenya’s capital. He worked with his project partner Samer Ahmed, who is also a Dataship fellow.
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Data journalism: Meet the Dataship fellows!
Samer Ahmed, Kenya
Samer Ahmed is an engineer. Together with his project partner Odanga Madung, he runs the data visualization start-up Odipo Dev. Respiratory illnesses are one of the leading causes of death in Kenya. The pair have used air pollution sensors to locate Nairobi's air pollution hotspots.
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Data journalism: Meet the Dataship fellows!
Will Cleas, D.R. Congo
Will's project demonstrated a very practical side of data journalism: He visualized road traffic accidents in Kinshasa, which have become an increasingly big problem in a city well known for its massive traffic jams. Even though he is the youngest of the fellows, he has already worked on a lot of data journalism projects for the online medium actualite.cd.
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Data journalism: Meet the Dataship fellows!
Roman Sverdan, Ukraine
Roman's Dataship project demonstrated how visualization of election data can contribute to better understanding electoral practices and improve election integrity in his home country Ukraine. He came up with a number of recommendations to improve accuracy in elections.
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Data journalism: Meet the Dataship fellows!
Mokthar Alibrahim, Syria
Mokthar is a native Syrian who is currently stationed in Jordan. He works for the Arab Reporters for Investigative Journalism (ARIJ) and is skilled in traditional investigative journalism. Mokthar joined the Dataship fellowship to learn how to code and to improve his data journalism skill set.
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Data journalism: Meet the Dataship fellows!
Olivera Živkovic, Serbia
Olivera started her traineeship at Deutsche Welle in Autumn 2019. She and her project partner Tamara investigated violence against women in Serbia, analyzed available data and helped people share their stories.
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Data journalism: Meet the Dataship fellows!
Wan Zuhra, Indonesia
In her project, Wan investigated the statement: "How Jakarta Becomes Jakarta". She mapped the development of her home town and revealed the growth of Jakarta's population, as well as the history of its flooding.
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Data journalism: Meet the Dataship fellows!
Cristian Edel Weiss, Brazil
In Cristian's native country Brazil, over the past decade or so an average of four thousand schools have closed each year. Even more disturbingly, in his home state of Santa Catarina, a school closed every two days. Cristian investigated this phenomenon in his Dataship project while also interning at Deutsche Welle's Brazilian newsroom.
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Data journalism: Meet the Dataship fellows!
Claudia Baéz, Colombia
Claudia is an experienced data journalist in Colombia and specializes in data analysis and data mining for the media industry. She also runs an investigative website: Cuestión Pública. For the Dataship fellowship she worked with her project partner Juan Pablo Marín Díaz.
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Data journalism: Meet the Dataship fellows!
Juan Pablo Marín Díaz, Colombia
Juan Pablo, also from Colombia, worked with Claudia Baéz collecting data on gender gaps in the public sector in their home country and visualized it for a broader audience.
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Data journalism: Meet the Dataship fellows!
Rosario Marina, Argentina
Rosario trained in classical investigative journalism, which is highlighted through her work at Argentina's biggest newspaper "La Nación." During the fellowship she learned more about the technical side of data journalism and applied it to her investigation on why women are increasingly becoming drug dealers in Argentina.
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Data journalism: Meet the Dataship fellows!
Roxanne Joseph
Roxanne is currently working as an investigative wildlife journalist for Oxpeckers Investigative Environmental Journalism in Southern Africa. Her Dataship project focused on developing an animal tracker to shed light on illegal wildlife trade online.
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Data journalism: Meet the Dataship fellows!
Angelo Zehr, Zürich
Angelo Zehr is working as a data journalist for the Swiss National Television (SRF). He was part of the Dataship fellowship as a trainer.
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Data journalism: Meet the Dataship fellows!
Niko Kommenda, London
Niko Kommenda is a data journalist and developer for The Guardian. Among other topics, he trained the Dataship fellows in data visualization.
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Data journalism: Meet the Dataship fellows!
Nicolas Kayser-Bril, Berlin
Nicolas Kayser-Bril is a data journalist currently reporting for Algorithm Watch. For the Dataship fellowship, he acted as trainer and co-project manager.
The 12-month fellowship program is aimed at fostering data journalism throughout the world, with a focus of fostering local data journalists' access to international professional networks. True to its mission of supporting the development of quality journalism worldwide, DW Akademie is committed to contributing to the advancement of data journalism, especially in countries where the practice has yet to become commonplace. Therefore, the program's aim is to support data journalists from non-OECD countries.
Participants met in May in Serbia for the first time to discuss their projects. The fellows will meet again in Hamburg at the end of September to attend the 2019 Global Investigative Journalism Conference, one of the most important events in international investigative and data journalism. Not only will they hone their data journalism skills in workshops and network with experts from other countries, but they will also have the chance to showcase their work and share their knowledge to the global data journalism community.
Learning the basics of data visualization: a trainer and fellow at the kick-off meeting in Belgrade
122 applications from 45 countries
A call for applications sent out in late 2018 was answered by close to 150 data journalists from 45 countries. A jury of 13 experts then ranked the applications. "The quality of the applications was stunning. It shows that data journalism is alive across the world," said Anne-Lise Bouyer, a jury member and former head of the tech team at Correctiv, a German investigative outlet.
Dataship now brings together 15 fellows from eleven countries. They receive 2,000 € in financial support and expert training that will help them complete a major data journalistic endeavor, as well as invitations to two conferences.
For Kevin Odanga Madung, a data scientist and Dataship fellow, data journalism is especially interesting due to the element of curiosity: "The beauty [is] that you follow the data and find a story." He and his project partner Samer Ahmed seek to investigate air pollution in Kenya, the title of their project: "Nairobi's Airpocalypse". They use a network of sensors in order to exemplify how data journalists can balance official data on air quality and develop a narrative that will help citizens and decision-makers in Kenya to better grasp the minutiae of the issue.
Dataship fellowship kicks off to promising start in Belgrad
The first Dataship event took place in Belgrade, Serbia, in May 2019. The fellows received training and guidance from data journalists working at the award-winning newsrooms of The Guardian and the Swiss National Television (SRF). Activities ranged from cleaning data using OpenRefine to advanced operations in R and data visualization in Javascript skills that will enable them to advance their own projects.
Data journalist and trainer Angelo Zehr
Angelo Zehr, a data journalist from SRF and one of the trainers, said that data journalism could help media in the current crisis of credibility. "Data journalism is – if you do it right – really transparent and really honest. You can show how you work and why you come to the conclusion you come to. In times of fake news that can help us."
The week in Serbia also allowed for peer-to-peer exchange, including local Serbian investigative journalists from the Balkan Investigative Reporting Network (BIRN) and the Serbian Crime and Corruption Reporting Network (KRIK).
"A really powerful tool"
Some of the projects use classical investigative elements combined with new technologies of data visualization. Claudia Báez, co-founder of Colombian investigative website CuestiónPública, said that data journalism is "a really powerful tool for doing great journalism together with classical investigative journalism and new techniques in the public interest". Her project, which addresses the gender gap in public administration, shows how the techniques of data journalism let independent media organizations leverage the power of statistics to shed light on issues that are barely visible when looking at individual cases.
Olivera Živković, a Serbian journalist and Dataship fellow, agrees that data journalism allows for a new way of telling stories: "I believe that traditional journalism doesn't have that power anymore and can’t engage audiences in a way data journalism can today."