BU joins elite group powering media innovation
BU joins elite group powering media innovation
Earlier,
This is the second year of the JournalismAI Challenge which has been launched by POLIS with the support of
Rahul Dass of the Times School of Media and Tapas Badal of the Computer Science Department of the
Research Questions
The Research Question that Bennett University has framed for the APAC region is “How might we use AI and audience insights to help newsrooms design more relevant and interactive news narratives?”
Building on previous work developed by the Times School of Media in collaboration with the Computer Science Engineering Department at Bennett University, the team will devise innovative storytelling methods to reach hitherto unreached audiences by extracting insights from datasets and social networks.
The research question framed by Knight Lab, Medill School of Journalism, is “How might we use AI technologies to innovate newsgathering and investigative reporting techniques?” Building on the experiences of Knight Lab, the team will explore opportunities for using methods such as entity extraction, knowledge management, computer vision and image analysis to help journalists work through data and derive insights for deep, rich storytelling. This team will focus on democratising these techniques for newsrooms and journalists of varying technical aptitude.
The research question framed by BBC Labs and Clwstwr is “How might we use modular journalism and artificial intelligence to assemble new storytelling formats?” The team will explore opportunities to tell journalistic stories in different ways to different people in different contexts. The focus will be on developing new storytelling formats.
Media organisations in the Asia Pacific interested in participating in the challenge should send a mail to Lakshmi at lakshmi@journalismai.info with the subject line “APAC Collab Challenge”. Applications close on April 30 at 11:59pm GMT.
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