Tableau Foundation and Equal Measures 2030 (EM2030) have joined together to launch a data journalism fellowship. Applications are open to data journalists from India and Kenya who identify as women or gender minorities. Participants will receive a $1,500 stipend and mentoring throughout the programme. The deadline is on 31st January 2021.
The Tableau Foundation is a philanthropic initiative led by Tableau Software employees that encourages the use of facts and analytical reasoning to solve the world’s problems.
Tableau Foundation grants combine Tableau’s two most valuable resources – its people and its products – with financial support to non-profits that are using data to reshape communities around the globe.
The Fellowship cohort will consist of up to 15 data journalists who demonstrate an interest in learning Tableau skills and a passion for data-driven journalism about gender quality issues linked to the Sustainable Development Goals (SDGs).
In addition to extensive training, this opportunity includes a complimentary two-year license for Tableau software, ongoing mentoring and support, access to EM2030’s SDG Gender Index data and a $1,500 cash grant to support your work.
The stipend will come in the form of an unrestricted grant and will be disbursed in part up front and in part after the final presentation.
Over the course of eight-to-ten months, the programme will include Tableau desktop I, Tableau desktop II, and data storytelling workshops.
The Tableau Foundation will pair each fellow with a technical Tableau mentor to support the Fellow with personalized, one-on-one technical guidance.
The deadline is on 31st January 2021.
Main Criteria
- 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 look-ups.
- Applicants should have an example of at least one story they’ve previously published using data journalism techniques in the news media.
- Residency in India or Kenya is required. Applicants should self-identify as women or a minority gender.
Find out more now.
Photo: Shutterstock / Edited by: Martina Advaney
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