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Large Voter Turnout for the Election of the 7th Appointment Period of the German Data Forum (RatSWD)

Press release, March 5, 2020

3,626 scientists took part in the German Data Forum (RatSWD)’s election, resulting in increased voter turnout and broader discipline coverage – the candidates were nominated by 15 academic associations . The German Data Forum (RatSWD) therefore has an even stronger mandate for its 2020-2023 appointment period. The elected candidates are now being proposed to the Federal Government for appointment. The election results can be viewed online: https://www.ratswd.de/wahl

The election results for the 7th appointment period (2020-2023) of the German Data Forum (RatSWD) were announced on 02.03.2020 at the 8th Conference for Social and Economic Data (8| KSWD). There was a choice between 19 candidates – scientists from a variety of disciplines in the social, behavioural, and economic sciences. They were nominated or supported by 15 academic associations, based on the election regulations of the German Data Forum (RatSWD).

The following were elected as the scientific representatives of the German Data Forum (RatSWD):

  • Prof. Dr. Christiane Gross (Julius-Maximilians-Universität Würzburg)
  • Prof. Dr. Ingrid Miethe (Justus-Liebig-Universität Gießen)
  • Prof. Dr. Kerstin Schneider (Bergische Universität Wuppertal)
  • Prof. Dr. Laura Seelkopf (Ludwig-Maximilians-Universität München)
  • Prof. Dr. Anja Strobel (Technische Universität Chemnitz)

 

  • Prof. Dr. Michael Eid (Freie Universität Berlin)
  • Prof. Dr. Thorsten Faas (Freie Universität Berlin)
  • Prof. Dr. Oliver Lüdtke (Universität Potsdam)
  • Prof. Dr. Jörg Strübing (Eberhard Karls Universität Tübingen)
  • Prof. Dr. Joachim Winter (Ludwig-Maximilians-Universität München)

The candidates were voted on by 3,626 scientists who registered on the election roll. Compared to the appointment period election of 2017–2020, the number of voters increased by 20%. The great interest in a wide variety of disciplines, as well as the high voter turnout (approximately 89% of all registered voters), ensures that the future members of the German Data Forum (RatSWD) will have a broad legitimation. 
The acting chairpersons of the German Data Forum (RatSWD), Prof. Dr. Regina T. Riphahn and Prof. Dr. Jürgen Schupp, thank Prof. Dr. Ulrike Rockmann (FU Berlin; Senate Department for Home Affairs and Sport Berlin, Deputy Election's Officer of Berlin) and Hans-Josef Fischer (IT.NRW) for leading the election, and thank all candidates for their candidacy.

The German Data Forum (RatSWD) is an advisory board to the federal government, whose members are appointed by the Federal Ministry of Education and Research, in agreement with the federal departments. From the 7th appointment period and onwards, the German Data Forum (RatSWD) will consist of ten empirically working scientists who will be appointed based on the election, as well as ten representatives of data-producing institutions of science and administration. An overview of the current members of the German Data Forum can be found here: https://www.ratswd.de/en/ratswd/members

 

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Established in 2004, the German Data Forum (Rat für Sozial- und Wirtschaftsdaten, RatSWD) is an independent council. It advises the German federal government and the federal states (Länder) in matters concerning the research data infrastructure for the empirical social, behavioural, and economic sciences. The German Data Forum (RatSWD) has 16 members. Membership consists of eight elected representatives of the social, behavioural, and economic sciences and eight appointed representatives of Germany’s most important data producers. The German Data Forum (RatSWD) offers a forum for dialogue between researchers and data producers, who jointly issue recommendations and position papers. The council furthers the development of a research infrastructure that provides researchers with flexible and secure access to a broad range of data. The German Data Forum (RatSWD) has accredited 34 research data centres and fosters their interaction and collaboration.