Local Data Journalism Fellowship
Not specified
No deadline
United States
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.
Who Can Apply
- Region
- United States
- Project in
- United States
- Applicants
- individual
- Organizations
- academic
Application Details
Stages
- 1 single_stage
Additional benefits
- mentorship
- training
External Application
This opportunity requires you to apply directly on the funder's website.
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Always verify on the official sourceKey Information
- Award Amount
- Not specified
- Application Deadline
- No deadline
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