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Message posted on 19/12/2024

Call for Application: Summer School „Ecological Data – Data Ecologies" Engaging with Methods for Critical Data Studies

We are happy to share a call for application for the (PhD) Summer
School "Ecological Data - Data Ecologies" in Frankfurt/Main next year. Please forward to potential candidates! Thank you and best wishes, Katrin Amelang, Martina Klausner & Till Straube

Call for applications

SUMMER SCHOOL „ECOLOGICAL DATA – DATA ECOLOGIES" ENGAGING WITH METHODS FOR CRITICAL DATA STUDIES Goethe University, Frankfurt/Main, Germany 30 JUNE – 5 JULY 2025 https://eco-data.school/

  • You are pursuing a PhD in the social sciences (e.g.
    anthropology, science and technology studies, human geography) and are
    interested in working with ecological data as part of your research?
    Or you are a PhD candidate in computer or data science and interested
    in engaging reflexively with ecological data and with perspectives
    from critical social science?
  • You would like to learn hands-on methods for critically
    examining existing data (sets) in your field of research?
  • You would like to meet other PhD students facing similar
    methodological questions and experiment with analysing data and
    telling data stories together? Then we invite you to participate in our one-week Summer School
    (June 30 – July 4, 2025) in Frankfurt am Main. The school will feature
    international lecturers and offer method-intensive training, with a
    focus on group projects. Travel expenses for participants will be
    covered. The Summer School will be taught in English. DEADLINE FOR APPLICATIONS: FEBRUARY 9, 2025 PLEASE FIND MORE RELEVANT INFORMATION (APPLICATION PROCESS, INVOLVED
    LECTURERS, ETC.) ON OUR WEBSITE: https://eco-data.school/ Prof. Dr. Katrin Amelang Vertretung der Professur für Ethnologie Universität Bremen Institut für Ethnologie und Kulturwissenschaft (IfEK) https://www.uni-bremen.de/kultur/personen/katrin-amelang SFG 4100 // 0421-218-67641 Sek. Lydia Müller: 0421-218-67600

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