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DW AKADEMIE

Data journalism: Meet the Dataship fellows!

DW Akademie's Dataship fellowship program brought together 15 fellows from 11 countries. The 12-month fellowship program supported data journalism throughout the world.

  • … Aidila are trying to show this in a visualizing networks called Cronyism in New Malaysia?. Both are journalist with Malaysiakini, one of the most popular news websites in Malaysia. Aidila will also join this year’s FoME Symposium Rethinking media development in Bonn as a panelist.

    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.

  • Belgrad Kickoffmeeting des Dataship – The Data Journalism Fellowship | Lee Long Hui (DW Akademie/D. Krivec)

    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.

  • Serbien Belgrad Kickoffmeeting Dataship – The Data Journalism Fellowship (DW Akademie/D. Krivec)

    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.

  • Belgrad Kickoffmeeting des Dataship – The Data Journalism Fellowship | Samer Ahmed (DW Akademie/D. Krivec)

    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.

  • Will's project demonstrates a very practical side of data journalism: He is visualizing road traffic accidents in Kinshasa which have become an increasingly big problem in the city well known for its massive traffic jams. Even though he is the youngest of the fellows, he has worked on a lot of data journalism projects so far for the online medium actualite.cd.

    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.

  • Roman Sverdan's Dataship project aims to demonstrate how visualization of election data can contribute to better understanding of electoral practices and improvement of election integrity in his home country Ukraine.

    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.

  • 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.

    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.

  • Olivera Živkovic, Serbia

    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.

  • In her project, Wan asks How Jakarta Becomes Jakarta. She is mapping the development of her home town and shows the growth of Jakarta's population as well the history of its flooding.

    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.

  • In Cristian's native country Brazil, over the past decade or so an average of four thousand schools are closed per year. Even more disturbingly, in his home state of Santa Catarina, a school is closed every two days. Cristian will be investigating this phenomenon in his Dataship project while also interning at Deutsche Welle's Brazilian newsroom.

    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.

  • Claudia Baéz, Colombia

    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.

  • Juan Pablo, also from Colombia, are collecting data on gender gaps in the public sector in their home country and will visualize it for a broader audience.

    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.

  • Rosario is trained in classical investigative journalism, especially through her work at Argentina's biggest newspaper La Nación. Her aims for the fellowship are to learn more of the technical side of data journalism and apply it for her investigation on why more and more women are becoming drug dealers in Argentina.

    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.

  • Belgrad Kickoffmeeting des Dataship – The Data Journalism Fellowship | Roxanne Joseph (DW Akademie/D. Krivec)

    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.

  • Angelo Zehr is working as a data journalist for the Swiss National Television (SRF). He is part of the Dataship fellowship as a trainer.

    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.

  • Niko Kommenda is a data journalist and developer for The Guardian. Among other topics, he trains the Dataship fellows in data visualization.

    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.

  • Nicolas Kayser-Bril is a data journalist currently reporting for Algorithm Watch. For the Dataship fellowship, he acts as trainer and co-project manager.

    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.


  • … Aidila are trying to show this in a visualizing networks called Cronyism in New Malaysia?. Both are journalist with Malaysiakini, one of the most popular news websites in Malaysia. Aidila will also join this year’s FoME Symposium Rethinking media development in Bonn as a panelist.

    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.

  • Belgrad Kickoffmeeting des Dataship – The Data Journalism Fellowship | Lee Long Hui (DW Akademie/D. Krivec)

    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.

  • Serbien Belgrad Kickoffmeeting Dataship – The Data Journalism Fellowship (DW Akademie/D. Krivec)

    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.

  • Belgrad Kickoffmeeting des Dataship – The Data Journalism Fellowship | Samer Ahmed (DW Akademie/D. Krivec)

    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.

  • Will's project demonstrates a very practical side of data journalism: He is visualizing road traffic accidents in Kinshasa which have become an increasingly big problem in the city well known for its massive traffic jams. Even though he is the youngest of the fellows, he has worked on a lot of data journalism projects so far for the online medium actualite.cd.

    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.

  • Roman Sverdan's Dataship project aims to demonstrate how visualization of election data can contribute to better understanding of electoral practices and improvement of election integrity in his home country Ukraine.

    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.

  • 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.

    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.

  • Olivera Živkovic, Serbia

    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.

  • In her project, Wan asks How Jakarta Becomes Jakarta. She is mapping the development of her home town and shows the growth of Jakarta's population as well the history of its flooding.

    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.

  • In Cristian's native country Brazil, over the past decade or so an average of four thousand schools are closed per year. Even more disturbingly, in his home state of Santa Catarina, a school is closed every two days. Cristian will be investigating this phenomenon in his Dataship project while also interning at Deutsche Welle's Brazilian newsroom.

    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.

  • Claudia Baéz, Colombia

    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.

  • Juan Pablo, also from Colombia, are collecting data on gender gaps in the public sector in their home country and will visualize it for a broader audience.

    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.

  • Rosario is trained in classical investigative journalism, especially through her work at Argentina's biggest newspaper La Nación. Her aims for the fellowship are to learn more of the technical side of data journalism and apply it for her investigation on why more and more women are becoming drug dealers in Argentina.

    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.

  • Belgrad Kickoffmeeting des Dataship – The Data Journalism Fellowship | Roxanne Joseph (DW Akademie/D. Krivec)

    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.

  • Angelo Zehr is working as a data journalist for the Swiss National Television (SRF). He is part of the Dataship fellowship as a trainer.

    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.

  • Niko Kommenda is a data journalist and developer for The Guardian. Among other topics, he trains the Dataship fellows in data visualization.

    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.

  • Nicolas Kayser-Bril is a data journalist currently reporting for Algorithm Watch. For the Dataship fellowship, he acts as trainer and co-project manager.

    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.