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  • naslov

    Genie, GENder Initiative for Excellence at Chalmers University of Technology, 5 years in, has there been any changes?

  • izvajalec

    Maria Saline, PhD, Chalmers University of Technology

  • institucija

    University of Maribor

  • izvajalec

    Maria Saline, PhD, Chalmers University of Technology

  • trajanje

    75 minutes

  • predavanje

    delavnica

    konferenca

    seminar

    tečaj

    RCUM
    izobraževanje

    This event will showcase specific actions from the Genie project (Gender Initiative for Excellence), funded by the Chalmers University of Technology Foundation. Genie is the largest investment in gender equality made by any university.
  • točke

    0

  • namenjeno

    zaposlenimštudentomzaposlenim in študentom + zunanjim udeležencem

  • organizator

    The event is organized by the Faculty of Electrical Engineering and Computer Science of University of Maribor (Tanja Botić, PhD).

  • Datum: 25.09.2024

  • Ura: 10:00

  • Rok prijave: 24.09.2024

  • Prostor: MS Teams

  • Naslov:

  • 37 prostih mest od 80

vsebina

  • Why Genie?
  • What have been created during the initiative?
  • Outcomes, challenges and successes
  • What is next?

cilji

To share knowledge on institutional gender equality efforts.

izvajalec

Maria Saline, Chalmers University of Technology, Gothenburg, Sweden, has a PhD in biochemistry from Gothenburg University, postdoc experience from pharma industry, worked internationally and since 2019 is the coordinator for a large initiative by Chalmers foundation (the Genie project).

opombe

  • The event will be held in English.
  • The lecturer does not allow the recording and publication of video, audio, and transcripts of the event.
  • Target Audience: pedagogic staff and researchers at UM, UM managerial and administrative support staff (including gender equality representatives), and external stakeholders (such as NCPs and representatives from other institutions) who are interested).
  • The event is organized within the framework of the European project HybridNeuro (GA no. 101079392), funded by the European Union under the Horizon Europe research and innovation programme and the UK Research and Innovation agency UKRI (no. 10052152). The opinions and views expressed are solely those of the author(s) and do not necessarily reflect the views of the European Union or the European Research Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.
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