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Application: Summer School for Women in Political Methodology 2026

The Summer School for Women in Political Methodology offers fellowships for early-career researchers who identify as women*. Our program offers hands-on training on core computational methods, as well as opportunities for networking and collaboration. In 2026, the Summer School will take place from Sunday, 19 to Saturday, 25 July at the University of Mannheim, Germany. For further information, please check our website.

To encourage applications from different universities and backgrounds, we offer fellowships for successful applicants.

The fellowship covers:
• Full tuition costs to attend Summer School (see programme)
• Travel reimbursement (up to 250 EUR)
• Accommodation for the duration of the Summer School (from Sunday, 19 July to Saturday, 25 July)
• Accommodation will be in shared rooms of two.

The deadline for applications ends on 1st of March 2026 at midnight (CEST). Please only apply if you can attend all days of the workshop.

By submitting your application, you consent to the processing of your data for the purpose of the selection process. Your data may also be used in anonymised form for future grant applications or related reporting. In such cases, no conclusions can be drawn about you as a person. You can request the deletion of your personal data at any time in accordance with Article 17 GDPR.

*The Summer School is open to all individuals who identify as women and as non-binary applicants.

1. Your Name

2.

Please enter your e-mail address.

3. Ethnicity

Please indicate your ethnic or cultural background.

4.

Please state your nationality.

5.

Please state your current university (if any).

6. Research Field

Please specify your field of research.

7.

If your research covers another subject, please indicate below.

8. Current Position

Please specify your current position.

9. Current Position

For how long have you held this position?

10. Career Plans

Are you planning on pursuing an academic or a non-academic career? Please indicate below.

11. R Knowledge

Please indicate your level of familiarity with R.

12. Stata Knowledge

Please indicate your level of familiarity with Stata.

13. Python Knowledge

Please indicate your level of familiarity with Python.

14. Methods Training

In the department where you are pursuing your PhD, are students required to complete a mandatory methods training program (or to participate in specific courses)?

15. Methods Use

Methods you have used so far (select all that apply):

16. Previous Summer Schools

Have you previously participated in a methods summer school?

17. Prior Application

Did you apply to the Summer School for Women in Political Methodology in 2019, 2023 or 2025? (We want to keep track of applicants’ interests in the initiative, your answer to this question will not disadvantage or advantage you in any way.)

18. Funding

In principle, the summer school offers a contribution to the participants’ travel costs. However, since accommodation costs are fully accounted for, we would also like to ask the participants to use funding from their home departments to cover travel cost. (Your answer to this question will not disadvantage or advantage you in any way.)

19. Disability Access

If accepted to the Summer School, would you like us to reach out regarding disability access?

20. Age

How old are you?

21.

What gender do you identify with?

In the following, we would like to know more about your academic background and research interests in the context of your application to the Summer School for Women in Political Methodology. In a few sentences, please provide a short bio, including your research interests.

max 1,200 characters

In the following, we would like to know more about your motivation for applying to the Summer School for Women in Political Methodology. In a few sentences, please elaborate on why you would like to take part in the Summer School.

max 1,200 characters

22. Curriculum Vitae

Please upload your CV here.

23. Data Use

May we use your data in anonymised form for future grant applications?