Portrait of Rahul Bhargava

Rahul Bhargava

Data Journalism

Rahul Bhargava is an associate professor at Northeastern University School of Journalism and Department of Art + Design. His research interests include designing off-screen data experiences in communities, co-creating public interest technologies with newsrooms and community groups, and studying discourse and framing in online news.

Rahul Bhargava is an educator, researcher, and designer who builds collaborative projects to interrogate our datafied society with a focus on rethinking participation and power in data processes. His innovative approaches to data in community settings include award-winning data murals, data sculptures, interactive data exhibits, and data theatre. Rahul has created big data research tools to investigate media attention, built AI-based tools that support activists monitoring news for human rights violations, designed hands-on interactive museum exhibits that delight learners of all ages, and run over 100 workshops to build data culture in newsrooms, non-profits, and libraries. He has collaborated with groups ranging from the state of Minas Gerais in Brazil to the World Food Program. Rahul’s publishes regularly in academic journals on data literacy, technology, and civic technology; his work has been shown at the Boston Museum of Science, Eyebeam in New York City, and the Fuller Craft Museum. Rahul is currently an Assistant Professor in Journalism and Art + Design at Northeastern University, where he directs the Data Culture Group. His first book, “Community Data: Creative Approaches to Empowering People with Information”, is now available from Oxford University Press.

Activities

Conference ● 17–18 Sep 2026

SciCAR

We are at SciCAR in Dortmund. Rahul Bhargava gives the keynote »Training Data Journalists in the Age of AI« and Francesca Morini takes part in the panel »(UX-)Insights für einen Datenjournalismus, der auch ankommt«.

Courses

Course ● Winter 2026/27

Retell a Data Story Off the Screen

How can we turn online data stories into tangible participatory activities? This course explores this question, designing short hands-on data activities that physicalize existing data stories and bring them to the public.