
Deadline : 8 February, 2019
Dataship is a 12-month fellowship program that brings together 15 of the brightest early-career data journalists from non-OECD countries to foster the development of data-driven reporting. The program combines tailored trainings and networking opportunities, offering selected fellows a unique and exclusive opportunity to learn, exchange ideas and connect with their counterparts around the world to become advocates of data journalism in their own countries.
Fellows receive up to € 2,000 to support their personal data-driven project, and are invited to two training sessions (in May 2019 and January 2020) as well as two major conferences (the Global Investigative Journalism Conference in Hamburg and the International Journalism Festival in Perugia, Italy).
Why this program?
DW Akademie believes data journalism has great potential to drive transparency and fuel greater accountability and good governance. We consider this to be an important prerequisite for people to make informed decisions and pursue an open social debate. Visualizing digital sources allows for different perception and new perspectives, making the technology a great modern asset to traditional journalism. The fellowship demonstrates DW Akademie’s long-standing commitment to supporting quality journalism around the world.
Funding
Dataship is run by DW Akademie, Germany’s leading organization for international media development and Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ). The project is financed by the German Federal Ministry for Economic Cooperation and Development (BMZ).
What you receive as a fellow
- Up to € 2,000 to support your project work.
- Two all-expenses-paid training sessions in May 2019 and January 2020. The trainings are tailored to fit your (and the other fellows’) learning needs.
- All-expenses-paid invitations to two major conferences to present your project work. We connect you with a growing community of data journalists worldwide and ensure continuous exchange of resources, knowledge and best practices.
- Ongoing support from experts (UX designers, D3.js programmers, statisticians, graphic designers, project managers…) throughout the program.
What they expect from fellows
- Produce a great data-driven project before April 2020 (expected work volume: 120 hours) and report on progress once every two months.
- Publish your project with a local media organization.
- Attend the two training sessions and the two conferences.
- Participate in conference panels or other events when appropriate.
- Communicate about your participation in the program (e.g. blog posts).
- Work in a positive and respectful way with other participants.
Eligibility criteria
Technical skills: Applicants should be familiar with the tools of data journalism. In particular, they should:
- Know how to use advanced spreadsheet functionalities such as pivot tables, filters and vertical lookups.
- Know how to use online visualization software such as Datawrapper or Infogram.
Experience: Applicants should have published at least one story using data journalism techniques in a news media.
Country of residence: Applicants should be residents of a country that is not a member of the OECD.
English language: Applicants should have a command of English corresponding at least to the B2 level of the Common European Framework of Reference for Languages. Note that, apart from the application form, participants will not be expected to write in English (unless they choose to write their project in English, of course). However, English will be the language of the trainings and conferences.
Application deadline is 8 February, 2019
For more information and to apply, click here.