Generating high-quality data for designing & implementing gender equality measures in your institution

Towards the GEAM (Gender Equality Audit and Monitoring) tool workshops: what’s in it and why to participate
  • 27 April 2021
  • 11:00-11:50 cest (Brussels time)
  • Jörg Müller
Co-organised with
Learning objectives
  • Provide a brief overview of the Gender Equality Audit and Monitoring (GEAM) tool. Main purpose, features, availability.
  • Present the objectives and content of the forthcoming hands-on online workshop and illustrate how participants will be guided to use and customize the GEAM tool to use it in their organizations.
  • Clarify all questions and doubts about methodology and expected learning outcomes for participants.
Who is it for?
  • Gender Equality officers and managers in research and higher education institutions
  • Human resources officers in Higher Education Institutions and RPOs
  • Researchers
  • Science managers
  • Academics forming part of equality committees and working groups
Webinar Material


Introduction to the GEAM tool: framework, rationale and thematic components

Full Webinar



Jörg Müller

Universitat Oberta de Catalunya, Gender and ICT research program, senior researcher

Jörg Müller is senior researcher at the Internet Interdisciplinary Institute (IN3 – UOC) in Barcelona, Spain where he forms part of the Gender and ICT research program. He obtained his PhD in Communications at the European Graduate School (EGS) in Saas-Fee, Switzerland and holds a degree in Sociology and Computer Science from the Free-University in Berlin, Germany. He has been coordinating several European projects on gender and science, including “GenPORT – Your gateway to gender and science resources” (2013-2017), GEDII – “Gender-Diversity-Impact” (2015-2018) and “ACT - Communities of Practice for Accelerating Gender Equality and Institutional Change in Research and Innovation across Europe” (2018-2021). Main research interests include practice-based approach to gender (in)equality, the science of team science, and new, data intensive research methods within the social sciences.