Fellowship

Local Data Journalism Fellowship

Mansueto Institute for Urban Innovation, University of Chicago Original Source
Award

Not specified

Deadline

No deadline

Location

United States

Applicants

individual

About This Opportunity

The Local Data Journalism Fellowship is a summer program at the University of Chicago that brings together data science students to work with journalists and faculty on ambitious investigative journalism projects for major media outlets. The fellowship focuses on critical issues impacting cities, utilizing high-caliber analytics tools and approaches. Data Science Journalism Fellows work collaboratively over eight weeks during the summer to support data-driven investigative stories proposed by data journalist fellows. Throughout the program, fellows meet regularly with journalists and faculty, beginning with a kick-off session followed by weekly in-person or online meetings. The data team works to scope projects and provide comprehensive data analytic and visualization support. By the end of the summer program, fellows will have produced completed data analyses, visualizations, and other deliverables that contribute to quality data journalism pieces designed to tell important stories and engage wide audiences.

Duration 2 - 3 mo

Who Can Apply

Region
United States
Project in
United States
Applicants
individual
Organizations
academic

Application Details

Stages

  1. 1 single_stage

Additional benefits

  • mentorship
  • training