Application Deadline: January 31, 2021 at midnight EST
Tableau Foundation and Equal Measures 2030 (EM2030) have joined together to launch a Fellowship for Data Journalists. Applications are open to data journalists from India and Kenya who identify as women or gender minorities.
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.
Fellows, in turn, are expected to apply their data skills and the EM2030 SDG Gender Index data to develop pieces of data-driven journalism (such as articles, infographics, apps, etc.) about key gender equality issues relevant to their country context.
Fellowship Goals
The program has five key objectives:
- To collaborate with women and gender minority data journalists in India and Kenya to strengthen their capacity to analyse and use data in their journalism and to foster a network of evidence-based and data-driven journalists who are passionate about gender equality issues
- To increase the reach and impact of journalism about key gender equality issues, through enhanced analytical and data visualization skills and capacities
- To enhance connections between data journalists and advocates at global, regional and national level to have greater collective influence on gender equality issues
- To bring analytics to underrepresented issues and historically underserved communities
- To increase take up and dissemination of EM2030 data, analysis and tools (especially the SDG Gender Index and related Bending the Curve data)
Program Components
Over the course of 8-10 months, the program will include:
- A Tableau Creator license: Each Fellow will receive a Creator license valid for two years.
- Three (3) X two-day virtual/in-person (depending on local travel restrictions) Tableau trainings: Fellows will receive trainings as a cohort. Trainings include Tableau Desktop I, Tableau Desktop II, and Data Storytelling.
- Five (5) two-hour virtual meetings with the other Fellows (convened by EM2030): Each virtual meeting will give Fellows an opportunity to learn from each other’s experiences and to seek help with their own data visualization and analysis questions.
- One (1) final presentation: one final virtual meeting where Fellows will present their products to the other Fellows and stakeholders from EM2030 and Tableau.
- Tableau mentorship: The Tableau Foundation will pair each fellow with a technical Tableau mentor to support the Fellow with personalized, one-on-one technical guidance.
- EM2030 focal point: EM2030 will pair each Fellow with an EM2030 focal point for support such as questions about the SDG Gender Index, other data technical questions, advocacy and/or communications support.
- Connection with local advocates: Fellows will have the opportunity to meet local advocates (EM2030 national partners) at least twice during the project, for example for help identifying issues for investigation or to provide further context and lived experience related to the issues raised in the data.
- $1,500 cash stipend: 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.
- The potential for additional presentations in national/regional/global conferences (to be confirmed, depending on themes covered, products produced, travel restrictions linked to international conferences, etc.)
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.
- Be keen to learn how to use Tableau data visualisation software
Experience:
- Applicants should have an example of at least one story they’ve previously published using data journalism techniques in the news media.
Country of residence:
- Applicants must be residents of India or Kenya
Gender identity:
- Applicants should self-identify as women or a minority gender
English language:
- Program activities will be conducted in English, and all participants will need fluency in spoken and written English to participate effectively in the program activities
- Data Fellows can, of course, create their data products in any language but they will be expected to be able to share and explain their products in English so the rest of the group can understand and learn from what they’ve created
How to Apply
- Please complete the application form at the following link: https://www.surveymonkey.com/r/5C8Q89T
- The application is very brief and will ask multiple choice questions or require very short answers about your motivation for applying, your data experience, your early thinking about the gender equality issues you might want to explore and the journalism products you might want to create through this Fellowship, and your reflections after briefly exploring EM2030 data for your country
- You will also be asked to upload or provide a link to a previous example of your data-driven journalism work
For More Information:
