Data, Media, and Society

The relationship between society and AI has seen growing public skepticism amid rapid adoption and evolution. The Data, Media, and Society Center explores paths toward positive, societally enriching adoption of AI and data science. By connecting academic research to real-world applications, and fostering sustained, impactful relationships across Columbia, industry and government, the Center advances meaningful outcomes at the intersection of media and data science.

The Data, Media, and Society Center focuses on applications of AI that benefit society; in particular, through two key research areas: 

  • Spatial and data-driven AI in media, exploring AI tools for journalism and training data-driven journalists, in partnership with the Columbia Journalism School and newsrooms like The New York Times. 
  • AI-driven safety in manufacturing, developing detection tools and policy frameworks to prevent illicit 3D-printed items, in partnership with the Columbia Scientific Union for the Reduction of Gun Violence (SURGE) and the SafePrint Consortium.

Leadership

Silvia Sellán
Silvia Sellán

Columbia Engineering
Assistant Professor of Computer Science
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Eugene Wu
Eugene Wu

Columbia Engineering
Associate Professor of Computer Science
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Faculty Steering Committee

Photo of Dhrumil Mehta
Members

Dhrumil Mehta

Associate Professor of Professional Practice, Columbia Journalism School; Deputy Director, Tow Center
Photo of Roshni Sahoo
Members

Roshni Sahoo

Assistant Professor of Business Decision, Risk, and Operations Division, Columbia Business School
Photo of Anthony P.  Vanky
Members

Anthony P. Vanky

Assistant Professor of Architecture, Planning and Preservation, Graduate School of Architecture Planning and Preservation