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Conference focuses on data journalism and digital methods- Brasil

07 November 2017
Topics: Data Journalism

São Paulo will host for the second time Coda.Br, Brazil's biggest Data Journalism and Digital Methods conference. The event is organized by Escola de Dados -- the Brazilian chapter of School of Data -- and this year's iteration was developed in partnership with Google News Lab. The gathering will bring hundreds of journalists, researchers, data scientists, students and international experts to Brazil's most hectic city between November 25th-26th, at FAAP University campus.

The event will bring international experts in data journalism -- such as Jonathan Stray, computational journalist at Columbia university, Mar Cabra, who led the Data and Research Unit of the International Consortium of Investigative Journalists (ICIJ) during the 2017 Pulitzer Prize-winning Panama Papers investigation, Momi Peralta, head of the award-winning data journalism team at La Nación Argentina, and Jennifer Stark, who was a computational journalist at the University of Maryland.

The conference is inspired in the American NICAR's CAR Conference, and includes more than 30 workshops in eight different rooms, lead by experts in data journalism tools; panels with journalists and international researchers on topics such as algorithmic responsibility, machine learning, privacy and the future of data journalism. 

The goal of the conference is to create a space where participants -- whether beginners or with advanced knowledge in data journalism -- share share their experiences, learn, expand networking, reflect on the biggest challenges and improve their skills to work on their data projects. Participation will be limited to 250 tickets.

For more Information on the conference and how to register click here.