Hybrid Summer School 2026 on “Intensive Longitudinal Methods, Dyadic Data Analysis and Machine Learning” until

The Charité Institute Gender in Medicine offers a 5-Day Summer School “Introduction to Intensive Longitudinal Methods & Dyadic Data Analysis & Machine Learning” from July 27th to July 31st, 2026, with the following options for participating:

  • 3-Day Summer School on “Introduction to Intensive Longitudinal Methods”
    (Part 1, July 27th to 29th)
    Fees (Early Bird/Late): Full Rate 740 € / 850€; Student Rate 495 € / 585 €; Reduced Rate 375 € / 440 €

  • 1-Day Summer School on “Dyadic Data Analysis”
    (Part 2, July 30th)
    Fees (Early Bird/Late): Full Rate 365 € / 420 €; Student Rate 245 € / 300 €; Reduced Rate 165 € / 220 €

  • Machine Learning Day
    (Part 3, July 31st)
    Fees (Early Bird/Late): Full Rate 365 € / 420 €; Student Rate 245 € / 300 €; Reduced Rate 165 € / 220 €

  • 5- Day Summer School
    Intensive Longitudinal Methods & Dyadic Data Analysis & Machine Learning
    (July 27th – July 31st)
    Fees (Early Bird/Late): Full Rate 1265 € / 1450 €; Student Rate 850 € / 990 €; Reduced Rate 630 € / 730 €

Please find all detailed information on the official summer school website: https://gender.charite.de/gim_summer_school_2026


Please note: this website is only for registration purposes. Therefore, a total amount of 0,00€/FREE will be displayed in your cart. After we have checked your registration, you will receive a separate e-mail from Charité - Universitätsmedizin Berlin with an invoice. Participation in our Summer School is only possible after you paid the registration fees.


  • "Early Bird" fees apply until June 5, from June 6 onwards you will be charged the "Late" fee.
  • Student Rate: A proof of student status will be required, if applicable, e.g., student certificate with University stamp or ID card with expiry date. Student rate does not apply to researchers, academic staff, and private, public and charitable sector employees.
  • Reduced Rate: Applicants need to proof their residence in an eligible country if applying for reduced fees. You can find a list of countries eligible for reduced registration fees here: List of eligible countries

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