DEADLINE: 20 July, 2018
The Columbia Journalism School’s Brown Institute for Media Innovation in collaboration with UN-DESA’s Statistics Division is pleased to announce a call for project proposals on data storytelling, aimed at nurturing new collaborations between national statistics systems (NSSs), including national statistical offices (NSOs), and journalism outlets.
Proposals should identify ways in which data journalists can work together with national statistical offices to better inform the public. As examples, projects might involve finding untold stories behind local, regional or national data. They might create novel data visualizations or other forms of storytelling through text, sound and video. Or they could formulate methods to prevent the misuse or misunderstanding of data.
No matter what the form, we are looking for projects that include substantive involvement from both an NSO and a journalistic outlet, a true collaboration.
Proposals will be evaluated by a panel of representatives from the Brown Institute, UN-DESA’s Statistics Division, practicing data journalists and Chief Statisticians from NSOs. Out of all proposals received, three winners will be selected.
- The team with the top-ranked project will receive up to $5,000 to implement or prototype their idea. Part of the award will support travel to present their work at the UN World Data Forum 2018 to be held 22-24 October in Dubai.
Beyond a prototype or presentation, the hope is that this opportunity might inspire future organic collaborations between these two institutions, providing an inspiring example that could help shape the futures of both journalism and official statistics.
Please upload a single PDF file containing:
- Cover letter briefly describing the team — the NSO/NSS and the journalistic outlet.
- Two-page proposal describing your project. Please explain how your work will fill an existing need to better inform the public.
Propose at brwn.co/collaborate.
For More Information :
Visit the Official Webpage of the Call for Proposals on Data Storytelling 2018